Total 73 job vacancies by Evolution Recruitment Solutions Pte. Ltd.

Dear Applicant,

If you or someone you know isinterested, please send the CV directly to VeronicaE@evolutionjobs.sg (mostpreferred, as I may overlook some CVs due to the high volume).

Please note that visasponsorship is not available at this time.

JD

Key Responsibilities:

Youwill be part of PB platform delivery to ensure concise, coherent, consistentand quality delivery of the target business requirement.

• Responsible for the overall system analysis activities; ensures high quality deliverables and meeting project schedules.
• Address and resolve functional as well technical issues relating to the platform
• Ensure functional knowledge is propagated downward to the project technical and QA teams so that quality testing is conducted and followed through
• Support during testing phase of delivery to ensure the functional requirement is delivered as per FSD
• Engage with system vendors to ensure business requirements/functionalities are clear for delivery of FSD throughout the end-to-end project implementation phases

Overview
We are seeking a Cyber Security Researcher to join a team focused on identifying and mitigating software vulnerabilities through advanced security research. This role offers the opportunity to work alongside cyber threat experts in conducting vulnerability research, reverse engineering, fuzzing, and code auditing to strengthen system security against evolving cyber threats.

Responsibilities

• Collaborate with cyber security and threat intelligence experts to identify and mitigate security risks.
• Conduct vulnerability research through fuzzing, reverse engineering, and source code auditing.
• Analyze software and systems to identify security weaknesses and exploit paths.
• Develop proof-of-concept (PoC) exploits to validate identified vulnerabilities.
• Investigate security flaws and recommend remediation strategies.
• Contribute to the development of tools and methodologies for vulnerability discovery and analysis.
• Stay current with emerging cyber threats, attack techniques, and security research trends.

Requirements

• Min 2 years of experience in vulnerability research, reverse engineering, software security, or cyber security research.
• Hands-on experience in native userland and or kernel-space vulnerability research.
• Experience identifying and analyzing security vulnerabilities through fuzzing, reverse engineering, and code auditing.
• Strong programming skills in C and Python.
• Familiarity with ARM/AArch64 assembly language and low-level system internals.

Overview

We are seeking an AI/ML Researcher to drive research and development in Large Language Models (LLMs), Natural Language Processing (NLP), and Generative AI. This role focuses on LLM research, information retrieval, reasoning, model evaluation, and the development of innovative AI solutions through scientific experimentation.

Responsibilities

• Conduct research in NLP and LLM domains, including information retrieval, entity-relation extraction, reasoning, sentiment analysis, and LLM vulnerabilities.
• Design and execute scientific experiments, benchmarking frameworks, and model evaluations.
• Develop and evaluate Generative AI and LLM solutions using PyTorch, TensorFlow, and modern NLP frameworks.
• Research synthetic data generation, LLM performance optimisation, and emerging AI techniques.
• Communicate research findings and collaborate with engineering teams to translate research into deployable solutions.

Requirements

• Strong background in NLP, LLMs, Generative AI, and machine learning research.
• Hands-on experience with PyTorch and/or TensorFlow.
• Experience in information retrieval, reasoning, entity-relation extraction, sentiment analysis, or LLM evaluation.
• Strong understanding of research methodology, experiment design, benchmarking, and model evaluation.
• Experience developing, fine-tuning, or evaluating LLM solutions.
• Master's or PhD in Computer Science, AI, Data Science, Statistics, Engineering, or a related field preferred.

Dear Applicant,

If you or someone you know isinterested, please send the CV directly to VeronicaE@evolutionjobs.sg (mostpreferred, as I may overlook some CVs due to the high volume).

Please note that visasponsorship is not available at this time.

JD

Key Responsibilities:

•           Work as a functional business analyst with the project team for creditorigination and early credit warnings

•           Analyze current processes to identify AI opportunities.

•           Collaborate with business sponsors, product managers, data scientist,technology partners to realize business needs

•           Review Vendor Deliverables to ensure governance check and balance

•           Familiar with Associative data modeling,  predictive & text analytics,classification, data exploration, summarization

•           Perform exploratory data analysis to uncover trends, patterns, and anomalies.

•           Create visualizations and dashboards to communicate insights effectively tostakeholders

•           Ensure AI Realization as per plan

•           Enforce Proper Governance before commissioning solution transiting Human In theloop to Human out of the loop

•           Identify opportunities of tuning to increase AI Accuracy for higherproductivity.

Dear Applicant,

If you or someone you know isinterested, please send the CV directly to VeronicaE@evolutionjobs.sg (mostpreferred, as I may overlook some CVs due to the high volume).

Please note that visasponsorship is not available at this time.

JD

Key Responsibilities:

• Participate in end-to-end projects for system implementation of KYC and AI related system integration with other AML systems
• Lead pre-project planning activities for technical delivery and contribute to architecture and functional specification, delivery plan, technical design, cost estimation, and resource plan
• Communicate complex technical solution to other teams and business users in layman’s terms
• Coordinate technical implementation activities across application teams to ensure non-event production cutover and adequate post implementation support
• Engage and collaborate with Architects, Security and Development Lead to ensure solution design complies with enterprise design principles, security and control standards
• Plan technical deliverables, perform design and development works to meet project’s requirements within schedule
• Provide status update related to technical delivery and escalate issues that impacts project schedule on timely basis and propose workarounds/resolutions
• Create technical documents for the solutions. Compile timely, comprehensive, and accurate documentation as requested
• Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing
• Partner with Test Management teams to ensure completion of SIT, UAT, performance / load testing and application security testing with quality result
• Liaise with other application teams and business users to prepare test cases and test data prior to testing in UAT and Mock Run environment
• Manage project change request approval windows and deployment schedule
• Facilitate and provide technical and testing support before and after production deployment
• Liaise with other units across IT and Business in the organization
• Manage external vendors for project delivery within schedule

Overview

We are seeking an AI Researcher to join our R&D team to develop practical AI and machine learning solutions for real-world analytical problems. This role focuses on predictive modelling, statistical analysis, LLM-powered AI agents, and intelligent systems operating across structured and unstructured data.

Responsibilities

• Develop and evaluate predictive models including regression, classification, and forecasting models.
• Conduct EDA, statistical experimentation, hypothesis testing, and model validation on large datasets.
• Build and experiment with LLM systems involving RAG, AI agents, fine-tuning, LoRA, and vector databases.
• Develop scalable Python-based AI/ML pipelines and reproducible workflows.
• Work with structured and unstructured datasets, including text, image, audio, and multimodal data.

Requirements

• Proven experience training or fine-tuning machine learning and/or LLM models on datasets with at least 1 million records.
• Hands-on experience with one or more LLM fine-tuning techniques such as LoRA, QLoRA, PEFT, or SFT.
• Strong background in predictive analytics, statistical modelling, and machine learning.
• Experience evaluating model performance using experimentation, metrics, validation frameworks, and failure analysis.
• Experience working with large-scale structured and unstructured datasets.
• Strong Python programming skills with Pandas, NumPy, Scikit-learn, SciPy, Matplotlib, and SQL.
• Experience building reproducible AI/ML pipelines and workflows.
• Good understanding of supervised, unsupervised, and generative AI models.

Preferred

• Experience with RAG, AI agents, LangChain/LangGraph, vector databases, or multimodal AI systems.
• Bachelor's, Master's, or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.

Our client is a fast-growing AI transformation and agentic AI platform company helping large enterprises identify, deploy, and scale AI agent use cases across business-critical workflows. The company works with senior enterprise stakeholders to move AI initiatives beyond advisory and into real implementation, product adoption, and measurable business impact.

The Deployment Strategist is a senior hybrid role sitting between strategy, solutioning, implementation, and technical delivery. This person will work directly with enterprise clients to understand business priorities, shape AI transformation opportunities, design practical deployment approaches, and oversee execution together with Forward Deployed Engineers. The role requires someone who can operate at a high strategic level with senior stakeholders, while also being hands-on enough to understand technical trade-offs, implementation details, product limitations, and client-side systems.

Job Description

• Partner with senior enterprise stakeholders to understand business priorities, operational pain points, and opportunities for AI agent deployment.
• Define high-impact AI use cases and shape them into practical solution roadmaps for enterprise clients.
• Lead strategic client conversations while also translating business problems into product, technical, and implementation requirements.
• Own the deployment strategy for client engagements, from initial use case definition through to implementation, adoption, and expansion.
• Work closely with Forward Deployed Engineers to guide technical delivery, integration planning, implementation priorities, and client-side problem solving.
• Oversee end-to-end deployment execution, ensuring solutions are technically feasible, commercially valuable, and aligned with client outcomes.
• Stay close to architecture, integration, workflow design, and system implementation details, especially where client environments are complex.
• Act as the bridge between client executives, business users, technical stakeholders, internal product teams, and FDEs.
• Identify additional use cases and expansion opportunities after initial deployment, supporting the company’s land-and-expand strategy.
• Provide structured guidance to delivery teams, helping prioritise work, unblock implementation challenges, and maintain delivery quality.
• Translate learnings from client deployments into product feedback, repeatable implementation frameworks, and scalable deployment playbooks.
• Represent the company confidently in senior client settings while remaining hands-on and execution-focused throughout delivery.

Requirements

• Strong background in strategy consulting, technology consulting, product strategy, solutioning, enterprise implementation, or AI / digital transformation.
• Experience working with senior enterprise stakeholders to define business problems, shape solutions, and drive implementation.
• Strong technical fluency, with the ability to understand architecture, integrations, APIs, workflows, data flows, system constraints, and implementation trade-offs.
• Proven experience delivering complex projects from strategy through to hands-on execution.
• Ability to guide or oversee technical teams, such as Forward Deployed Engineers, implementation engineers, solution engineers, or product delivery teams.
• Comfortable moving between C-level strategy discussions and detailed delivery conversations with engineers, product teams, and client technical teams.
• Strong project ownership, stakeholder management, and execution capability.
• Product, startup, zero-to-one, or founder/operator experience is highly valuable.
• Prior experience in AI transformation, enterprise SaaS, automation, platform implementation, systems integration, or digital transformation is advantageous.
• Strong commercial awareness, with the ability to identify expansion opportunities and build long-term client trust.
• Comfortable operating in ambiguity, building processes from scratch, and working in a fast-paced founding-team environment.

Dear Applicant,

If you or someone you know isinterested, please send the CV directly to VeronicaE@evolutionjobs.sg (mostpreferred, as I may overlook some CVs due to the high volume).

Please note that visasponsorship is not available at this time.

JD

Card Compliance & Regulatory Management

• Lead delivery of card compliance initiatives driven by card schemes (Visa, Mastercard, AMEX, JCB, CUP), regulators, and internal risk mandates.
• Ensure timely assessment, planning, and execution of scheme bulletins, regulatory mandates, and compliance remediation items.
• Ensure compliance with relevant regulatory and industry standards (e.g. MAS, PCI DSS, scheme rules).

Stakeholder & Communication Management

• Lead end‑to‑end engagement across business, technology, and vendor partners, covering planning, governance, communications, budgeting, resource alignment, and change management.
• Manage stakeholder expectations through structured governance forums and transparent communication.
• Deliver clear, concise, and effective executive‑level updates on project milestones, risks, dependencies, and delivery progress.
• Provide comprehensive status reporting across business leadership, ensuring alignment of deliverables and timelines.

Process, Analysis & Delivery Execution

• Act as primary project point‑of‑contact for risk, compliance, and audit engagements, including internal audit, technology risk, and external reviews.
• Ensure all compliance deliverables are well‑documented, traceable, and audit‑ready.
• Drive end‑to‑end delivery of complex, multi‑business‑line initiatives in alignment with strategic objectives and UOB SDLC and stage‑gate standards.
• Own the full project lifecycle (Waterfall, Agile, Hybrid), including planning, governance, execution, and tracking against time, scope, and budget.
• Prepare detailed project plan for all phases of the project.
• Coordinate across business, operations, and technology teams to manage dependencies, risks, issues, and scope changes effectively.
• Maintain high‑quality delivery through disciplined tracking of progress and upkeep of RAID (Risks, Assumptions, Issues, Dependencies) artifacts.
• Govern change and release activities through appropriate forums (Monthly review with business stakeholder, PSC), ensuring compliance, risk sign‑offs, and operational readiness prior to production deployment.
• Understand interdependencies between technology, operations and business needs.
• Monitor, track and control outcomes to resolve issues, conflicts, dependencies and critical path deliverables.

Location: Tuas (onsite)

This is a commercial leadership role, with responsibility for driving new business development across large industrial and project-based accounts. This role is focused on hunting for new clients, developing new business opportunities, expanding relationships with key accounts while also leading and coaching a small sales team.

Key Responsibilities

• Drive new business development and client acquisition across large industrial, infrastructure, energy, utilities, manufacturing, and project-based accounts.
• Sell the company’s product portfolio, including motors, drives, generators, transformers, switchgear, and other electrical solutions.
• Identify and pursue large-scale project opportunities with major accounts.
• Build and manage a strong sales pipeline, from prospecting and qualification through to proposal, negotiation, closing while strengthening relationships with key decision-makers.
• Lead and mentor a sales team, uplifting team's hunting capability, account penetration, and proactive business development mindset.
• Set sales targets, monitor team performance, and provide guidance on sales strategy, pipeline management, and customer engagement.
• Work closely with internal technical, engineering, operations, and management teams to support solution proposals and project delivery.
• Provide market insights, competitor intelligence, and customer feedback to support business planning and product strategy.

Requirements

• Degree in Electrical Engineering, Mechanical Engineering, Business, or a related field.
• Proven sales experience in electrical, industrial, power, energy, engineering, or project-based solutions.
• Strong knowledge of electrical products and solutions, ideally including generators, transformers, switchgear, power systems, or related electrical infrastructure.
• Experience selling to large accounts, such as industrial plants, petrochemical companies, energy players, utilities, infrastructure projects, EPCs, contractors, or major end users.
• Strong hunting experience with a proven track record of opening new clients and securing new project opportunities.
• Experience leading a sales team, including coaching, performance management, and capability development.
• Able to shift a team from a farming-focused sales approach towards a more proactive hunting and business development mindset.
• Fluent in Mandarin Chinese, both written and verbal.
• Strong commercial acumen, negotiation skills, and ability to manage senior client relationships.
• Comfortable handling complex, long-cycle, project-based sales.
• Good communication skills and ability to work across technical and non-technical stakeholders.

Our client is a fast-growing tech consulting / SI company, specializing in delivering end-to-end digital transformation services across Southeast Asia.

Key Responsibilities

• Own sales targets and drive revenue growth across assigned enterprise accounts and territory.
• Develop strategic account plans to identify new business opportunities, expand existing accounts, and build long-term customer relationships.
• Sell complex, multi-solution projects across areas such as cloud migration, DevOps transformation, ITSM, CRM/CX, data analytics, AI/ML, application modernization, and integration.
• Build trusted relationships with C-suite executives, IT leaders, business owners and other key decision-makers.
• Work closely with pre-sales, solution architects, delivery teams, and external partners to shape customer solutions and ensure strong delivery outcomes.
• Maintain an accurate sales pipeline, forecast revenue, track account activity, and manage client information through the CRM system.
• Monitor client satisfaction, support renewals, and drive account expansion through repeat business and cross-selling opportunities.

Requirements

• Minimum 5 years of experience in enterprise software solutions, SaaS, IT consulting, or systems integration sales.
• Strong consultative selling skills with the ability to understand client pain points and position business-led technology solutions.
• Extensive experience working with clients in the BFSI sector.
• Demonstrated hunter mindset with the ability to strategically farm and grow existing enterprise accounts.
• Excellent communication, presentation, and relationship-building skills.
• Strong stakeholder management skills, with confidence engaging C-suite executives, IT leadership, business owners.
• Structured, metrics-driven, and able to manage pipeline, forecasting, and account reporting independently.
• Comfortable working in a fast-paced consulting environment with cross-functional teams.

Key Responsibilities

• Develop, enhance, and maintain key features across a SaaS platform using React, TypeScript, and Node.js.
• Build, document, and maintain RESTful APIs that support frontend and product functionality.
• Work closely with product, design, and engineering teams to shape and deliver user-facing features.
• Write high-quality, scalable, maintainable, and testable code.
• Participate in code reviews, technical discussions, and architecture planning.
• Contribute to DevOps practices, CI/CD workflows, and infrastructure-related decisions.
• Take ownership of technical delivery and support the adoption of strong engineering standards as the team grows.
• Be hands-on across the full stack initially, with the opportunity to gradually move into a technical leadership role.
• Support future team expansion by providing technical guidance, mentoring engineers, and improving development processes.
• Work effectively in a fast-moving, iterative environment where ownership, pragmatism, and adaptability are important.

Requirements

• Proven experience in software engineering or full-stack development.
• Strong hands-on experience with React and TypeScript.
• Solid backend development experience using Node.js.
• Good understanding of RESTful API design and development principles.
• Familiarity with relational databases, ideally PostgreSQL.
• Experience using Git and working with CI/CD pipelines.
• Strong communication skills and a collaborative working style.
• Prior experience mentoring engineers, leading a small technical team, or owning technical delivery would be advantageous.
• Comfortable remaining hands-on while gradually taking on more technical leadership responsibilities as the engineering team scales.
• Prior experience in a startup, scale-up, early-stage product company, or entrepreneurial environment is strongly preferred.

Strong Plus:

• Experience with pair programming.
• Experience practicing test-driven development/TDD.
• Familiarity with Kanban or other lean, iterative delivery methods.
• Exposure to AWS, DevOps, testing frameworks, performance tuning, or infrastructure-related work.

Responsibilities

• Serve as the primary technical point of contact for customers using Silicon Photnics (SiPh) test solutions.
• Provide post-sales technical support, including installation, ramp up, optimization, troubleshooting, and ongoing customer support.
• Work closely with customer engineering and test teams to ensure successful deployment and operation in R&D, NPI, and manufacturing environments.
• Support technical discussions, evaluations, demonstrations, and solution recommendations during the pre-sales process.
• Collaborate with internal sales, applications, service, and engineering teams to resolve technical issues and deliver customer success.

Requirements

• Bachelor's Degree in Electrical Engineering, Photonics, Physics, Semiconductor Engineering, or a related discipline.
• 3+ years of experience in Solutions Engineering, Applications Engineering, Test Engineering, or related semiconductor roles.
• Handson experience with Silicon Photonics (SiPh), optical test solutions, or photonics-based technologies.
• Strong understanding of optical and electrical testing, test automation, and system integration.
• Customer facing experience with strong troubleshooting, communication, and stakeholder management skills.
• Experience supporting semiconductor customers, including foundries, IDMs, or OSATs, is preferred

Key Responsibilities

Cloud Infrastructure & Automation

• Design, deploy, and maintain cloud environments on AWS or GCP.
• Develop and manage infrastructure using Infrastructure-as-Code tools such as Terraform or similar technologies.
• Implement secure networking architectures, including VPCs, private connectivity, VPNs, peering, and network segmentation.
• Establish scalable multi-environment and multi-account cloud strategies.

Container Platform & Kubernetes

• Build and manage Kubernetes environments for production workloads.
• Configure cluster security, RBAC, autoscaling, workload isolation, and governance controls.
• Create standardized deployment frameworks for microservices, backend services, and AI-related workloads.
• Support both real-time and batch processing environments.

CI/CD & Release Automation

• Design and optimize CI/CD pipelines to streamline software delivery.
• Implement automated testing, deployment validation, and release management processes.
• Support deployment strategies such as blue-green, canary, and phased rollouts.
• Improve developer productivity through automation and deployment standardization.

Observability & Site Reliability

• Implement monitoring, logging, tracing, and alerting solutions.
• Define service reliability metrics, performance objectives, and operational standards.
• Support incident response processes, root-cause analysis, and continuous service improvement.
• Develop operational runbooks and support on-call readiness.

Security & DevSecOps

• Strengthen cloud security through identity and access management best practices.
• Manage secrets, certificates, and sensitive configuration securely.
• Implement vulnerability scanning, dependency analysis, and container security controls.
• Enforce security policies through automation and governance frameworks.
• Support audit readiness and compliance requirements.

AI/ML Platform Support

• Collaborate with data science and machine learning teams to operationalize AI solutions.
• Support model deployment, inference services, batch processing, and ML infrastructure.
• Monitor performance, availability, and resource consumption of AI workloads.
• Contribute to platform capabilities that improve AI product scalability.

Cost Optimization

• Monitor cloud spending and resource utilization.
• Implement tagging, budgeting, and optimization initiatives.
• Drive efficiency improvements without compromising performance or reliability.

Developer Experience

• Build self-service infrastructure capabilities and reusable engineering templates.
• Improve internal tooling and automation workflows.
• Maintain clear technical documentation and operational guidelines.
• Help create a smooth developer experience across engineering teams.

Requirements

Essential Skills & Experience

• Minimum 4 years of experience in DevOps, Site Reliability Engineering, Platform Engineering, or related infrastructure roles.
• Strong hands-on experience with AWS or Google Cloud Platform.
• Proven expertise with Infrastructure-as-Code tools, preferably Terraform.
• Solid Kubernetes administration and containerization experience (Docker, Helm, Kustomize, etc.).
• Strong knowledge of CI/CD pipelines and modern software delivery practices.
• Good understanding of Linux systems, networking, and automation scripting using Python and/or Bash.
• Experience implementing monitoring, logging, and observability solutions.
• Strong understanding of cloud security principles, IAM, secrets management, and infrastructure hardening.
• Ability to collaborate effectively with software engineers, product stakeholders, and technical leadership.
• Strong documentation and communication skills.

Preferred Qualifications

• Experience with GitOps practices and tools such as ArgoCD or Flux.
• Exposure to policy-as-code and infrastructure testing frameworks.
• Familiarity with data engineering or machine learning ecosystems.
• Experience working with distributed systems, streaming platforms, or large-scale data processing technologies.
• Knowledge of enterprise compliance, governance, and security review processes.
• Exposure to reliability engineering practices such as resilience testing or disaster recovery exercises.

Dear Applicant,

If you or someone you know isinterested, please send the CV directly to VeronicaE@evolutionjobs.sg (mostpreferred, as I may overlook some CVs due to the high volume).

Please note that visasponsorship is not available at this time.

JD

Key Responsibilities:

Domain &Functional SME

• Subject Matter Expert (SME) for Collections processes, including delinquency and workflow management, recoveries, write-offs, legal collections, and customer communications.
• Translate business requirements into functional and technical specifications aligned with the target collections platform.
• Validate functional designs, configurations, and solution approaches to ensure they meet business intent and regulatory requirements.

Conversion &Data Migration Delivery

• Lead conversion and data migration strategy, including scope definition, data mapping, reconciliation, and validation.
• Oversee end-to-end legacy-to-target data conversion, ensuring data quality, completeness, and accuracy.
• Define and manage mock conversions, dress rehearsals, and cutover planning.
• Drive resolution of data issues, gaps, and defects in collaboration with technical teams.
• Coordinate with architecture, development, testing, and infrastructure teams to ensure aligned delivery.
• Manage dependencies across workstreams, vendors, and system integrators.
• Ensure adherence to the bank’s delivery standards, SDLC, and governance frameworks.

Testing &Readiness

• Oversee functional, system, integration, and testing from a business and SME perspective.
• Ensure test scenarios fully cover collections processes, conversion outcomes, and edge cases.
• Support business readiness activities including operational handover, and hypercare.

Stakeholder& Vendor Management

• Serve as a primary liaison between business, IT, vendors, and system integrators.
• Provide clear status reporting, risk management, and issue escalation to senior stakeholders.
• Guide vendors on functional expectations and validate delivered outcomes.

Dear Applicant,

If you or someone you know isinterested, please send the CV directly to VeronicaE@evolutionjobs.sg (mostpreferred, as I may overlook some CVs due to the high volume).

Please note that visasponsorship is not available at this time.

JD

• Overall accountable and responsible for delivery of testing services one or more applications and/or projects of Digital domain applications
• Manage and oversee the day-to-day delivery of test services by Bank appointed vendors in the conduct of testing
• Works with the testing service providers and other stakeholders to review, provide feedback and sign off on the test strategy, test plans and other test service providers’ artefacts for the testing service delivery.
• Coordinates with the Test Governance team to ensure adoption of testing methods, standards and tools, and to coordinate any health checks or audits.
• Ensures that any changes to the scope of services are communicated to the respective test service providers and the impact is factored in to the plan.
• Engages with various stakeholders (including but not limited to, application, security, infrastructure, business), testing service providers to ensure testing services meet the banks’ objectives and demand.
• Act as the first point of escalation for any issues raised by stakeholders, testing service providers.
• Quantify, manage, track and report test related statuses, SLA and KPIs, and ensure that defined testing transformation SLA and KPI targets are met for the portfolio accountable.
• Drive and collaborate with all stakeholders and test service providers to plan all testing related deliveries for the portfolio accountable.
• Participate and contribute in forums, as required, to drive testing transformation and innovation.
• Works closely with the Test Engineering Lead to provide inputs around domain specific test engineering requirements and ensure that they are met.
• Establishes and maintains effective working relationships with the Vendor Test Managers/Test Leads for the respective domains.
• Engages stakeholder communities to get their feedback on testing service delivery and identify improvement opportunities to be fed back to the Test CoE team.