Total 237 Manager data entry job vacancies in Australia

• Plan and execute marketing initiatives for AI data center and immersion cooling solutions.
• Create professional content: presentations, solution briefs, case studies, and digital/LinkedIn materials.
• Drive local campaigns, webinars, and events to generate leads and strengthen client engagement.
• Collaborate closely with sales and technical teams to develop customer-facing materials and proposals.
• Represent the company professionally at client meetings and industry events.

Requirements:

• Degree in Engineering, IT, Marketing, Business, or equivalent
• At least 5 years of B2B marketing experience in data centers, IT infrastructure, AI/GPU platforms, or cooling solutions.
• Solid understanding of data center operations, rack layouts, cooling technologies, and GPU-based AI systems.
• Ability to translate technical concepts into clear value propositions for non-technical stakeholders.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

Key Responsibilities

• Enterprise Data Strategy
  Define and lead the enterprise data strategy and roadmap aligned with business, regulatory, and operational priorities. Drive initiatives to strengthen data governance, management, and analytics capabilities, while promoting data literacy and responsible data usage across the organisation.
• Enterprise Data Governance
  Establish and implement the data governance framework, including policies, standards, and operating model. Define data ownership and stewardship, and set up governance forums to ensure accountability and consistency across business units.
• System of Record & Data Standards
  Define and maintain System of Record (SoR) and Single Source of Truth (SSOT) principles. Standardise data definitions, master data structures, and enterprise data domains to ensure consistency in reporting and decision-making.
• Data Quality & Trusted Data Foundations
  Implement data quality frameworks, controls, and monitoring processes. Establish validation, reconciliation, and exception management standards, while reducing reliance on manual processes and enabling trusted datasets for reporting and analytics.
• Regulatory Data Governance & Risk
  Ensure data governance practices meet regulatory, compliance, and audit requirements. Implement data lineage, documentation, and certification standards, and collaborate with Risk and Audit teams to strengthen governance controls.
• Data Architecture Governance
  Define and oversee enterprise data architecture principles and standards. Work closely with IT to ensure systems, integrations, and data pipelines align with governance requirements and support scalable data management.
• Data & Technology Partnership
  Partner with IT and business leaders to embed data governance into systems and platforms. Support the development of enterprise data and analytics capabilities, ensuring reliable and consistent reporting across the organisation.

Requirements

• More than 10 years’ experience in datamanagement, governance, or data architecture leadership
• Degree in Information Systems, Computer Science,or related field
• Proven track record in establishing enterprisedata governance frameworks and operating models
• Experience with enterprise data platforms andanalytics tools (e.g. Snowflake, Qlik)
• Strong exposure to complex environments withmultiple systems and data domains
• Strong stakeholder management with ability toinfluence senior leadership
• Solid knowledge of data governance, dataquality, and master data management
• Ability to translate business needs into datastrategy and governance frameworks
• Proven experience leading cross-functionaltransformation initiatives
• Relevant certifications (e.g. CDMP, DCAM, TOGAF)are advantageous
  

License No. 22C1076 | EA Reg: R2615945

Job purpose:

The incumbent will play a pivotal role in ensuring the team’s upholding of strict compliance with anti-money laundering and sanctions guidelines, all relevant/related regulations and internal guidelines. He/She is also expected to ensure all local addendums, procedures, processes are up-to-date with global requirements and/or local regulatory standards, provide regular updates to GS-Ops – Operations and CVT Singapore Team Head / GS-Ops – Operations and CVT Asia Regional Head and perform escalations where required.

Key activities:

General

• Understand and comply with Commerzbank’s Code of Conduct
• Ensure compliance to AML, Sanctions, KYC and other relevant policies, procedures and regulations
• Support initiatives related to changes in the regulatory landscape, system enhancements or updates
• Provide support in potential remediation reviews
• Provide support for on-site activities as assigned
• Provide team coverage where required
• Assist with any other duties or projects as assigned by GS-Ops – Operations and CVT Singapore Team Head / GS-Ops – Operations and CVT Asia Regional Head
• Understand Commerzbank structure, client coverage/segmentation and products/services offered to clients in international Commerzbank locations

Role Specific – Client Verification (“CV”) Focused, Account Administration (“AA”) Focused, Operations Focused

• Local Addendums Maintenance and/or Control (inc. but not limited to the KYC Handbook, Screening Procedure, AWLF Alert Handling Procedure, Adonis Processes, AA Desktop Procedures, Standard Operating Procedures etc)
• Representative for Branch on regional / global procedural topics
• Project Support for CV / AA / Operations initiatives, including but not limited to data control and governance
• Outsourcing standards / service quality, Control and Governance
• Systems process expert (inc. but not limited to AOPX, Actimize, Phoenix, Asia Reporting Platform, Summit, Easymatch, TRAM etc)
• Process Control (inc. Adonis Processes, Standard Operating Procedures)
• Planning and conducting trainings and knowledge sharing sessions (including but not limited to system/process/procedural trainings to service provider/team members)

Formal education:

• Bachelors or Masters degree in Business Administration, Finance, Science or similar education
• Completed apprenticeship / training in the financial industry or similar education

Specialist knowledge (work experience, further qualification):

• At least 5 years professional experience in Banking and Market Operations and/or Client On-boarding / KYC operations and/or Anti-Money Laundering functions at a large financial institution
• Working experience in an international environment is a plus
• Advanced knowledge of Financial Crime prevention, local and international sanctions and Know Your Customer requirements
• Well versed with respective global / local regulatory requirements and market practices
• Act in line strictly with all internal and external laws, policies, and guidelines e.g. ComValues, Culture of Integrity, Code of Conduct, ABC Policy, TRM etc.
• Proficient use of MS Office Suite
• Fluent in English; German and/or other language skills is a plus
• Excellent analytical, oral and written communication and interpersonal skills
• Strong attention to details required
• Advanced time management skills and ability to execute tasks within tight deadlines
• Ability to work independently or with limited guidance and seek for advice proactively
• Good teamwork attitude to share responsibilities and confer with others
• “Hands-on” approach in the day to day operation
• Resourceful and have good motivational and conflict management skills

Responsibilities

• Lead small groups during fieldwork

• Teach newcomers scripts and objection handling

• Maintain high team energy and productivity

Requirements

• Confident, outgoing

• Leadership potential

• Comfortable with face-to-face selling

Benefits

• Coaching

• Leadership development

• Regional trips

This role is accountable for the end-to-end delivery of complex, high-impact AI, GenAI, and Data initiatives across the region. The Senior Project Manager ensures initiatives are delivered on time, within scope and budget, while complying with project governance, risk management, regulatory, and responsible AI standards. The role partners closely with business, technology, risk, compliance, and regional PMO stakeholders to maximize business value from AI and Data investments.

Key Responsibilities & Accountabilities

Project Delivery & Execution:

• Lead end-to-end delivery of strategic AI, GenAI, and Data programs and projects, from initiation through closure, in accordance with Project Management Standards.
• Define and manage project scope, objectives, success criteria, milestones, and deliverables in collaboration with business and technology stakeholders.
• Develop and maintain integrated project plans, schedules, budgets, and resource plans.
• Identify, assess, manage, and escalate project risks, issues, dependencies, and change requests as required.

Stakeholder & Governance Management:

• Act as the primary point of contact for senior business stakeholders, technology leads, vendors, and regional / head office counterparts.
• Establish and maintain effective project governance, including steering committees, decision forums, approvals, and status reporting.
• Ensure alignment with Regional PMO governance, Head Office requirements, and policies and standards.

AI & Data Enablement:

• Oversee delivery of AI, GenAI, analytics, and data platform initiatives aligned with business priorities and enterprise architecture standards.
• Ensure responsible AI principles are embedded across the project lifecycle, including model risk, ethics, data privacy, security, and regulatory compliance.
• Translate complex technical and data concepts into clear, executive-level communication and decision materials.

Financial, Vendor & Resource Management:

• Manage project financials, including budget planning, forecasting, cost tracking, and variance management.
• Lead vendor engagement and performance management to ensure contractual, delivery, and quality expectations are met.
• Optimize utilization of internal and external resources across concurrent initiatives.

Reporting, Quality & Continuous Improvement:

• Provide accurate, timely, and executive-ready project status reports, dashboards, and governance artefacts.
• Conduct post-implementation reviews and capture lessons learned.
• Contribute to continuous improvement of AI & Data delivery practices and PMO standards.
• Provide mentoring and guidance to junior project managers as required.

Key Deliverables:

• Approved project charters, business cases, and project management plans
• Steering committee and executive-level status reports
• Risk, issue, dependency, and change registers
• Financial tracking, forecasting, and variance reports
• Post-implementation reviews and lessons learned documentation

Knowledge, Skills & Experience:

• Bachelor’s degree in Information Technology, Engineering, Business, or related discipline
• Project Management certification (PMP, PRINCE2, or equivalent) preferred
• Agile / Scrum certification is an advantage

Experience:

• 12-15+ years of IT project management experience, including 3–5+ years leading large-scale, complex initiatives
• Demonstrated experience delivering AI, GenAI, data analytics, or data platform programs
• Experience operating in regulated environments such as banking or financial services
• Proven ability to manage multi-stakeholder, regional initiatives5.3 Skills & Competencies
• Strong leadership, communication, and stakeholder management skills
• Solid understanding of AI, data analytics, cloud platforms, and modern data architecture
• Strong risk, issue, dependency, and financial management capabilities
• High level of judgment, accountability, and attention to detail

Risk, Compliance & Conduct:

• Ensure all activities are conducted in compliance with policies, standards, and regulatory obligations.
• Adhere to requirements on risk management, information security, data privacy, outsourcing, and responsible AI.
• Escalate risks, issues, and control concerns in a timely and appropriate manner.

To apply,simply click the "Apply" button or send your updated profile to recruit@percept-solutions.com 

EA Licence No.:18S9405 / EA Reg. No.:R1330864

Percept Solutions is expanding and actively seeking talented individuals. We encourage applicants to follow Percept Solutions on LinkedIn at https://www.linkedin.com/company/percept-solutions/to stay informed about new opportunities and events.

JOB SUMMARY

Corporate and Investment Banking (CIB) at Standard Chartered Bank has embarked on an ambitious journey to incorporate the latest AI and data science capabilities in all aspects of our business. This includes our Financial Markets and Transaction Banking businesses. To that end, we are seeking a senior data scientist with strong background and experience in developing and deploying sound AI solutions using both the classical machine learning techniques as well as the latest Large Language Models.

RESPONSIBILITIES

• Liaise with product owners and business stakeholder, identify pain points and business use-cases and gather requirements

• Understand business use-cases and develop AI/ML solutions for various business use-cases in collaboration with product owners and the wider team

• Productionize the developed solutions in collaboration with MLOps Engineer and the wider Tech and Data team

• Stay up-to-date with recent developments in Data Science and NLP domains: algorithms, best practices etc. and disseminate them across the team

• Mentor and upskill more junior team members

Strategy

Support the development of data and AI solutions in cooperation with business stakeholders, IT teams and other relevant parties and to assure that solutions are aligned to the business strategy, released on time, on budget and with high quality.

Governance

• Ensure data quality (DQMF) is applied for data analytics and AI projects

• Adherence to Risk & Data Quality Management Requirements

• Risk and Audit Continuous management of the Trade Application System risk

• Proactively identify issues and actions

• Monitor and remediate issues and actions from audits

• Awareness of the regulatory requirements and ensuring these are catered for in the platform design

Regulatory & Business Conduct

• Display exemplary conduct and live by the Group’s Values and Code of Conduct.

• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.

• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key Stakeholders

• Technology and Engineering teams across the bank

• Corporate and Investment Banking (CIB) business teams

• Digital Channels and Client Data Analytics (DCDA)

• Financial Crime Surveillance Operations (FSCO) / Compliance teams

Our Ideal Candidate

• Degree in Computer Science, Software Engineering, IT, or related fields

• 2+ years of experience in machine learning, data science and/or other relevant quantitative roles – Banking/finance experience would be preferred but not mandatory

• Proficient in Object-Oriented Programming (OOP) in Python

• Knowledge of machine learning, deep learning and statistical analysis techniques

• Experience in NLP/DocumentAI, Entity Matching, Anomaly and Fraud detection would be an advantage

• Proficient in using ML, DL, and NLP libraries such as Scikit-learn, HuggingFace, LangChain and PyTorch

• Experience in working in an agile environment

• Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders

• Self-driven and highly motivated professional with a strong sense of ownership and a passion towards delivering high-quality client solutions

Role Specific Technical Competencies

• Data Science

• Python

• NLP

• Deep Learning

• Stakeholder Management

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do

• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well

• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.

• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.

• Flexible working options based around home and office locations, with flexible working patterns.

• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits

• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.

• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Recruitment Assessments

Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Visit our careers website www.sc.com/careers

Product area

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Job description

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. 

Additional job description

Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.

Google is transforming how hyperscale data centers are planned, designed, and built from custom, stick-built, multi-year construction monoliths to manufactured, modular, just-in-time deployments of fungible capacity. The Product Development and Insertion (PDI) organization under Data Center Technology and Systems (DCTS) is the execution arm of the development of such fungible capacity. PDI, working alongside the different pillars within DCTS, drives and provides ownership of the various products and programs that will enable the future modular technology for Google Cloud.

Qualifications

Job responsibilities

• Execute scope for cross-functional product development of new products and programs. Guide products through the product lifecycle process.
• Work with upstream and downstream partner teams across data centers, specifically, supply chain, construction and execution teams, hardware and software operations to help execute successful product insertions.
• Lead the site intercept process quickly assesses specific data center sites for their ability to adopt emerging design configurations. Align, plan and deliver Data Center design delivery.
• Develop and execute tech insertion cut-in framework that defines the point of no return for design changes based on construction schedules and supply chain lead times.
• Orchestrate executive decision support and reporting and process optimization (speed to plan). Execute scope for cross-functional product development of new products and programs, stretching to address undefined challenges with limited guidance.

Minimum qualifications

• Bachelor's degree in a technical field, or equivalent practical experience.
• 5 years of experience in program management.
• Experience in data center engineering and product design.

Preferred qualifications

• Certifications like Managing Successful Programmes (MSP)/Management of Risk (MOR).
• Experience in technical and product program management.
• Experience managing risk of product and programs, implementing mitigation plans.
• Ability to influence cross-functional team members and stakeholders.
• Ability to navigate ambiguity and succeed at a fast pace of change.

Not looking for just a job?
Looking for a role where you can learn fast, earn based on performance, and grow into leadership?

At UpSails Marketing, we develop individuals into future leaders through real sales experience, structured mentorship, and a clear progression pathway. If you’re driven, competitive, and ready to challenge yourself, this opportunity is built for you.

What You’ll Be Doing

• Represent clients through face-to-face sales and marketing campaigns

• Engage customers and deliver confident, impactful presentations

• Track your performance and continuously improve your results

• Work closely with a high-energy team to achieve sales targets

• Progress into team leadership and campaign management roles

Who We’re Looking For

• Driven individuals who are goal-oriented and results-focused

• Confident communicators who enjoy interacting with people

• Fast learners who take initiative and ownership

• Individuals who thrive in performance-based environments

(No experience required — full training provided. Attitude matters more than background.)

What You’ll Gain

• 1-on-1 mentorship and structured training

• Uncapped, performance-based earnings

• Fast and clear career progression into leadership roles

• Opportunities for local & overseas exposure

• A competitive and supportive team environment

Why Join Us?

This role isn’t for everyone.

But if you:

• Want to grow faster than your peers

• Are willing to step out of your comfort zone

• Prefer results to determine your success

Then this could be your stepping stone into something bigger than just a job.

Apply Now

If you’re ready to build skills, income, and real career momentum, apply today and start your journey with UpSails Marketing.

Job Purpose

· This role drives the development and successful implementation of a highly effective global sector product for DGF AFR.

· Collaborate with the Global Sector Product Head, Regional Airfreight Head, and Country Product Heads to align the sector product strategy for the region.

· Take ownership of market and sector knowledge, leading the sub-function for the sector product within DGF.

· Provide input and lead the implementation of the functional strategy to develop segment strategies and business plans.

· Enhance the performance of sector and industry management, supporting business growth objectives in accordance with industry and market needs, division strategy, objectives, and Group guidelines and policies.

· Own operation excellence deliverance by providing guidance to the country and stations teams.

Key Responsibilities

Sector Product Strategy:

· Define sector product strategy in alignment with the overall product strategy, objectives, and policies.

· Drive operational plans, measures, and budgets to achieve defined results for the sector.

· Execute and implement the sector strategy and roadmap in relevant geographies.

· Produce, coach, and develop global win plans for the sector community and opportunities.

Product Development:

· Identify key trends in the industry and collaborate with stakeholders to develop innovative solutions.

· Establish global sector-specific infrastructure and operations together with regional or country teams.

· Establish commercial and operational guidelines and processes to drive product growth & margins.

· Monitor competitor activities, develop segment strategies and business plans for the sector.

· Provide high-level advice within the sector and regions to counterparts globally.

· Stay updated with sector-specific regulations and standards and communicate any changes or updates to relevant teams.

Sector Business Development:

· Serve as the senior point of contact for sector-related customers or shipments within the community.

· Lead, organize, and control highly strategic business activities and product initiatives.

· Support business development, account management, and sales activities for the specific sector.

· Participate in business development opportunities, including QBR and RFQ activities, for the sector.

· Direct the development of marketing plans, determine research priorities, recommend sales channels, and provide direction for product promotion.

Operational Excellence:

· Identify areas for improvement and implement strategies to enhance operational efficiency and effectiveness within the sector.

· Foster a culture of continuous improvement and best practices sharing across the sector and industry management.

· Implement performance metrics and KPIs to monitor and measure operational performance, ensuring alignment with defined goals and objectives.

· Collaborate with cross-functional teams to streamline processes, optimize resources, and enhance overall operational performance.

· Identify and mitigate operational risks within the sector, ensuring compliance with industry regulations and standards.

Product Quality& Compliance:

· Develop and implement quality controls and compliance measures to ensure adherence to sector-specific regulations, standards, and guidelines.

· Establish and monitor processes and procedures to ensure product quality and consistency across the sector.

· Conduct regular audits and assessments to identify areas of non-compliance and implement corrective actions.

· Collaborate with internal stakeholders to ensure that sector operations meet all applicable compliance requirements.

· Provide guidance and support to the sector in maintaining a high level of quality and compliance in all operations

Qualifications & Key Requirements

• Bachelor’s Degree or equivalent
• Minimum of 8 years of experience in forwarding and/or sector-related companies.
• Extensive experience collaborating with global, regional, and country organizations to successfully implement solutions.
• Proven track record of achieving sector growth in terms of revenue and gross profit.
• Ability to navigate and excel in a matrix organization structure.
• In-depth knowledge and experience in freight forwarding and the logistics industry.
• Strong understanding of logistics infrastructure and service providers.
• Expertise in the sector industry, with a deep understanding of its dynamics and operational requirements.
• Demonstrated customer facing sales capabilities and a solid track record in the sector industry.
• Strong project management skills, with the ability to successfully lead and execute projects.
• Excellent knowledge of main markets and local regulations related to sector commodities.
• Fluent in English, with strong communication and language skills.
• Able to lead and manage teams of experts across multiple countries and from multiple cultures.
• Commercial and operational problem-solving mindset.
• Willingness to travel.

At EY, we develop you with future-focused skills and equip you with world-class experiences. We empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.

We work together across our full spectrum of services and skills powered by technology and AI, so that business, people and the planet can thrive together.

We’re all in, are you?

Join EY and shape your future with confidence.

About the opportunity

EY AI & Data is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors. We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real-life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region. We are looking for a Data Analyst within the AI & Data team in our Singapore office. This role is offered on a flexible full-time basis.

Your key responsibilities:

• Collaborate with cross-functional teams to gather requirements, define data-related technical issues, and provide solutions.
• Create informative and interactive dashboards and reports in Power BI, Qlik or similar tools to meet the needs of the business.
• Write advanced SQL queries for data manipulation and retrieval from relational databases.
• Develop and optimize data models within the dashboarding tool for reporting and analytics.
• Perform data extraction, transformation, and loading of large and complex data sets from various source systems.
• Ensure data quality and integrity by implementing data validation and testing within ETL processes.
• Monitor ETL jobs, troubleshoot any issues, and perform performance tuning to improve data processing.
• Stay current with the latest technologies and best practices in data engineering and business intelligence

Skills & attributes for success:

• Experience of data-driven organizational transformation supported by data insights and good story telling
• Experience in business intelligence, data warehousing/platform, or data strategy projects
• Experience in ETL development and Data Analysis
• Knowledge and experience in data governance, data security, and privacy practices
• Exceptional communication, documentation and presentation skills and stakeholder management experiences

To qualify for the role, you must have

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 year of experience as a Data Analyst with experience in ETL development and data warehousing.
• Prior experience with Azure Data Factory, including building and optimizing data pipelines, is preferred.
• Strong proficiency in writing and optimizing SQL queries.
• Expertise in popular commercial BI tools, such as Power BI, Qlik.
• Familiarity with data governance, data security, and privacy practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills to work effectively with both technical and non-technical team members.

Ideally, you’ll also have

• Dashboarding experience with Power BI, Qlik or equivalent tools
• Experience in engaging with both technical and non-technical stakeholders
• Consulting/Professional Services experience and background, including engaging directly with clients

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we look for

Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you’ll be a confident team player that collaborates with people from various teams while looking to develop your career in a dynamic organization.

What working at EY offers

EY offers a competitive remuneration package where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements. Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

Company description

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

All in to shape the future with confidence.

COMPANY DESCRIPTION

MINDS has been caring for Persons with Intellectual Disabilities (PWIDs) and their families since 1962.

Grounded in the belief that all PWIDs have innate abilities and talents, MINDS is committed to empowering them and enhancing their quality of life, while advocating for greater inclusivity for PWIDs as a nation.

MINDS is today one of the largest charities in Singapore employing more than 850 staff. With the key focus to expand community-based services, improving the employability of PWIDS, strengthening education, and engendering inclusive community living, MINDS offers a holistic range of services and programmes across the PWIDs' lifespan.

These include schools, employment and training development centres, home-based care services and community-based services to cater to the physical, psychological, environmental and social needs of PWIDs. For more information, please visit www.minds.org.sg.

RESPONSIBILITIES

The Senior Manager is responsible for implementing and maintaining processes and systems that support strategic finance and staff data initiatives and operational service delivery. He/She evaluates the effectiveness of finance and staff information systems and liaises with various departments to understand data reporting requirements. He/She also sets objectives for data analysis, improves analytical models where necessary, and proposes dashboards to track key performance indicators and measure impact.

The Senior Manager adopts an analytical and methodical approach to addressing issues, expected to leverage on systems thinking and artificial intelligence to enhance finance and staff systems and processes, and is at ease working with technical systems and data, and able to derive and communicate insights in a compelling manner.

He/She shall also work closely with internal stakeholders and vendors on the Planning, Development, Data Migration, User Acceptance Testing, Training and Implementation of finance and staff management systems, which also include adherence to compliance and governance controls.

Implement finance and staff management systems

• Identify strategic and operational needs for finance and staff managements systems
• Synthesise organisational requirements and budget constraints
• Present business case for new system implementation or system enhancements to senior management
• Conduct Request for Proposal (RFP) process for finance and staff management systems
• Evaluate available management systems and vendors to recommend a suitable option
• Determine system functionalities and customisations to be incorporated in management systems
• Design implementation plan for management systems
• Lead implementation and roll-out of management systems
• Ensure implemented management systems meet compliance and governance requirements

Internal Stakeholders and Vendor Management

• Ensure organisation requirements for finance and staff management systems are met
• Manage Internal stakeholders and Vendor requirement by providing & proposing technical solutions when necessary.
• Build productive relationships internally and externally with both Finance/HR and vendors by keeping them updated on activities and status.
• Support User Acceptance Test
• Support training for End Users
• Liaise and Collation of Data for Data migration from existing systems to new systems

Acumen in finance and HR-related activity

• Analyze Finance and HR requirements and propose solutions / opportunities for automation.
• Evaluating and implementing necessary tools/processes to help maintain data integrity within Finance and HR processes.

Information Technology

• Work with Ops Tech team to ensure management systems are able to run seamlessly within and outside of Virtual Desktop Infrastructure environment; and
• Security matters relating to Network / Data / Password etc are in-line with IT policy and control guidelines

Data, AI & Automation

• Support development and execute a data strategy including data governance, architecture, quality, and accessibility across departments.
• Directly drive execution of the development and adoption of:
• Data integration, master data management (MDM), advanced data analytics and data development practices.
• Generative AI related initiatives to ensure ethical use, enhance knowledge management, client communication, and productivity
• Robotic Process Automation (RPA) to streamline repetitive processes such as reporting, compliance tracking, and client administration.

• Good degree in Information Technology or Human Resource Management.
• At least 3 years of relevant working experience in Project Management, managing end-to-end of a HRIS project.
• Candidate should be familiar with HR processes, software and tools, and Cloud infrastructure environment.
• Knowledge of database systems, Software as a Service (SaaS).
• Excellent communication, negotiation, and interpersonal skills both written and verbal.

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 6 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.

At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum. Find out more at www.pwc.com.

Join PwC's Cybersecurity & Privacy practice in Singapore as a Data Security Manager. We are seeking an experienced professional to guide top-tier clients, mentor a growing team, and serve as a subject matter expert. This role bridges the gap between technical implementation, strategic advice, and regulatory compliance, focusing on Data privacy regulations such as PDPA, modern DLP and data classification technology, and secure cloud architecture. 

Key Responsibilities 

• Lead data security engagements from strategy and roadmap development to final delivery. 

• Architect and advise on technical controls, including: 

• Data Discovery & Classification 

• Data Loss Prevention (DLP) 

• Encryption technologies and Key Management 

• On Premise and Cloud data security  

• Translate regulatory requirements (such as PDPA, GDPR and other regional / global regulations) into actionable technical and operational controls. 

• Mentor, coach, and develop junior consultants, fostering their careers and building team capability. 

• Support business development by building client relationships and contributing to proposals. 

Required Experience & Skills 

• 7+ years in cybersecurity with a focus on data security and protection. 

• Expertise and experience in Data Protection regulations is required. 

• Proven client facing and project delivery experience, preferably in professional services. 

• Experience with data security technologies: Data Classification, DLP, Encryption, IAM, data security in cloud platforms (AWS, Azure, and GCP). 

• A passion for mentoring and developing teams. 

Preferred Qualifications 

• Tertiary degree in a relevant field (e.g., IT, Cybersecurity, Computer Science). 

• Certifications such as CISSP, CISM, CIPP, CDPSE. 

• Cloud security certifications (AWS, Azure, GCP). 

• Experience in Financial Services (MAS requirements), Technology, or Public Sector. 

• A track record of contributing to business development efforts.

Job Description: Lead Data EngineerRole OverviewWe are looking for a Lead Data Engineer to design, build, and scale our data automation and ingestion capabilities. This role will play a critical part in shaping how data is collected, processed, and operationalized across the organization.You will lead the development of scalable, reusable data collection and processing systems using Python-based pipelines, APIs, and workflow-driven automation primarily focussing on data automation, pipeline reliability, and production-grade model execution.This is a hands-on role for an experienced data engineer who enjoys building robust systems, improving standards, and partnering closely with analytics, backend, UI, and data operations teams.Key ResponsibilitiesData Ingestion & AutomationDesign and develop scalable, reusable data ingestion systems using Python, APIs, web scraping, and file-based ingestion.Build and maintain data collection methods for diverse data types and sources, including APIs, Excel, flat files, HTML etc.Ensure ingestion pipelines are automated, fault-tolerant, and self-healing, minimizing manual intervention.Pipeline Integration & ExecutionIntegrate ingestion pipelines with enterprise data storage and processing layers.Leverage Decisions (workflow automation software) and internal workflow services to orchestrate and execute data transformation and manipulation workflows.Partner with internal platform and workflow teams to ensure pipelines run consistently at scale.Data Quality, Governance & StandardsDefine and enforce data quality checks, validation rules, and reconciliation logic across pipelines.Ensure strong data governance and cross-system alignment, working closely with backend, analytics, and UI teams.Establish and promote development standards, including Script and module structure, Logging, error handling, Unit testing and validation frameworksReduce technical risk and future rework through consistent engineering practices.Model Operationalization & Data Ops EnablementWork closely with Data Ops and Analytics teams to help transition Python-based models from: Analyst-led prototypesTo production-ready, scalable, and reliable operational modelsEnsure models can be executed efficiently within workflow-driven environments (e.g., Decisions), with proper dependency management, performance optimization, and monitoring.Enable end-to-end execution of data pipelines and models, supporting growing data volumes and increased execution frequency.Provide Technical leadership, Guiding design decisions, reviewing code and architectureRequired Skills & ExperienceSenior-level data engineer (typically 10+ years), with strong hands-on experience and the ability to lead and shape systems rather than just implement tasks.Strong hands-on experience with Python in production data engineering environments.Proven experience building data ingestion pipelines, ETL/ELT-style processes, and automation frameworks using code (not GUI-based tools).Strong knowledge of data manipulation and scraping libraries, including Pandas, NumPy, Requests, BeautifulSoup and Selenium (or similar browser automation tools)Experience working with APIs, authentication mechanisms, and structured/unstructured data formats.Solid understanding of data quality, validation, and governance practices.Experience designing pipelines that are Scalable, Reliable, Idempotent, Easy to monitor and debugFamiliarity with workflow-based execution and orchestration concepts.Strong ability to collaborate across teamsAbility to translate analytical needs into robust, production-grade data solutions.

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 3 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• At least 10 years of experience in a relevant industry or consulting role. Management consulting experience gained through a Big 4 is highly advantageous
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments
• Experienced in engaging and managing a variety of stakeholders
• Prior experience of leading team for projects and pursuits
• Excellent written, communication, and presentation skills in English (additional local language skills are considered an asset)

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.