Total 11 Manager procurement manager job vacancies in Gurgaon

We are seeking a highly skilled Data Engineer with 5+ yrs experience who brings strong technical expertise in data processing, analytics, cloud platforms, and dashboarding, along with the ability to collaborate effectively with cross functional teams and deliver end to end analytical solutions.Skills & ResponsibilitiesAnalyze and process large structured datasets using SQL and Python (Pandas, PySpark) to uncover insights, identify trends, and support strategic decision making.Build and optimize data transformations and analytical datasets using Pandas DataFrames and PySpark to ensure high quality, analysis ready data.Perform data cleansing and validation using regular expressions and other techniques to improve data accuracy and reliability.Develop and execute queries in BigQuery for analytical exploration and production reporting.Integrate external data sources through APIs and web scraping to expand analytical capabilities and automate data ingestion.Support scheduled data pipelines using Apache Airflow to ensure timely and reliable data delivery.Design and maintain dashboards in Tableau or Power BI to visualize insights and monitor key performance metrics.Manage end to end analytical deliverables including requirement clarification, data validation, iterative development, and final reporting.Work with cloud data platforms—preferably GCP—to support scalable data architecture and analytics.Apply Big Data, data modeling, and optimization techniques to design efficient data pipelines using ETL tools.Utilize foundational web UI concepts (HTML, CSS, JavaScript, React, Angular) to support data driven applications; hands on experience is a plus.

The Lead Data Engineer will drive the design, development, and optimization of scalable data solutions that power analytics, reporting, and strategic decision making across the organization. This role requires deep technical expertise, strong problem solving skills, and the ability to guide teams in building robust data pipelines, analytical datasets, and data driven applications. The ideal candidate combines hands on engineering capability with leadership in architecture, quality, and cross functional collaboration.Key ResponsibilitiesData Engineering & Pipeline DevelopmentAnalyze and process large structured datasets using SQL and Python (Pandas, PySpark) to uncover insights and support strategic decisions.Build and optimize data transformations and analytical datasets using Pandas DataFrames and PySpark to ensure high quality, analysis ready data.Perform data cleansing and validation using regular expressions and other techniques to improve data accuracy and reliability.Develop and execute BigQuery queries for analytical exploration and production reporting.Integrate external data sources through APIs and web scraping to expand analytical capabilities and automate ingestion.Support and enhance scheduled pipelines using Apache Airflow to ensure timely, reliable data delivery.Apply Big Data, data modeling, and optimization techniques to design efficient, scalable ETL/ELT pipelines.Analytics & VisualizationDesign and maintain dashboards in Tableau or Power BI to visualize insights and monitor key performance metrics.Manage end to end analytical deliverables including requirement gathering, data validation, iterative development, and final reporting.Cloud & Architecture LeadershipWork with cloud data platforms—preferably GCP—to architect scalable, secure, and high performance data solutions.Lead best practices in data engineering including version control, CI/CD, data quality, and performance tuning.Cross Functional CollaborationPartner with business, product, and analytics teams to translate requirements into technical solutions and ensure alignment with organizational goals.Mentor junior engineers and contribute to establishing engineering standards, documentation, and reusable frameworks.Web UI & Application SupportUtilize foundational web UI concepts (HTML, CSS, JavaScript, React, Angular) to support data driven applications; hands on experience is a plus.Collaborate with frontend and platform teams to integrate data workflows into user facing tools and internal applications.Preferred Qualifications10+ years of experience in data engineeringStrong expertise in SQL, Python, Pandas, PySpark and distributed data processing.Experience with GCP (BigQuery, Cloud Storage, Composer, Dataflow) or equivalent cloud platforms.Experience in Tableau or Power BI for building dashboard and reports.Proven ability to lead complex data initiatives and drive architectural decisions.Experience working in Agile environments with cross functional teams.

Key Accountability:• Training Delivery Performance: End to end responsibility of training deliverables like throughput, certification, early production performance, etc.• Performance Management: Should have excellent knowledge of training deliverable, metrics data analytics. Knowledge/ Qualification: • Graduate • IATA / UFTA certification preferredSpecial Role Requirement:• Should be willing to work in 24*7 environment• Should be willing to work in non-weekend offs• Excellent working knowledge of all MS Office tools like Excel, PPT, etc. • Excellent written and verbal communications

ABOUT YOUR ROLE:

1. You will be responsible to maintain the current business, cross sell in existing accounts to drive growth and   achieve new sales targets for the region.  

2. You will add new customers, new projects by making cold calls and convert opportunities into business in the region.

3. Industrial sales / B2B Sales experience.

4. Relationship building is the key factor within and outside the organization.  

5. B2B sales with focus to identify and uncover new opportunities.
    

YOUR RESPONSIBILITIES WILL INCLUDE:

• Achieve aggressive sales results / targets.

• Promote new generation products of Avery Dennison .

• To handle the B2B sales for the assigned territory. 

• Conversion of opportunities into New Business sales.

• Develop territory, market penetration and sales execution strategies to consistently attain and exceed goals.

• Manage receivables from the customers monthly basis. 

• Enhancing market value of our products with continuous engagement with the customers.

Qualifications

Key Competencies:-

• Knowledge: Industrial consumable sales, proficiency in excel, data analysis.

• Skills: Relationship building ,Selling, Negotiation, Closing sales.

• Aptitude: Outgoing, Hardworking, self motivated and Action oriented.

Job Summary

We are seeking a highly skilled Financial Data Analyst with strong experience in Life & Annuity actuarial functions. The ideal candidate will bring deep expertise in financial data analytics, asset modeling, and programming (Python), along with a solid understanding of insurance and investment principles. This role will support actuarial modeling, financial reporting, and strategic decision-making through data-driven insights.

Key Responsibilities

• Analyze large and complex financial datasets related to life and annuity products to support actuarial valuations and reporting.

• Develop, maintain, and optimize data pipelines and analytical models using Python.

• Perform asset modeling and support Asset-Liability Management (ALM) processes.

• Collaborate with actuarial, finance, and investment teams to deliver actionable insights.

• Support financial forecasting, valuation, and risk analysis for insurance portfolios.

• Automate reporting processes and improve efficiency in data handling and analysis.

• Ensure data quality, integrity, and compliance with regulatory and internal standards.

• Assist in the development and validation of actuarial and financial models.

• Interpret and communicate analytical results to stakeholders in a clear and concise manner.

Required Qualifications & Experience

• Bachelor’s or master’s degree in actuarial science, Finance, Statistics, Mathematics, or a related field.

• 7+ years of experience in financial data analytics, preferably within life insurance or annuity domains.

• Strong hands-on expertise in Python (Pandas, NumPy, data visualization libraries).

• Proven experience in financial data analysis and reporting.

• Experience with asset modeling and/or Asset-Liability Management (ALM).

• Solid understanding of actuarial concepts in life and annuity products.

Preferred Skills

• Knowledge of insurance investment strategies and financial instruments.

• Experience working with actuarial modeling tools (e.g., Prophet, AXIS, MG-ALFA, or similar).

• Familiarity with regulatory frameworks (e.g., IFRS 17, Solvency II, US GAAP).

• Strong SQL and database management skills.

• Experience with data visualization tools (e.g., Power BI, Tableau).

• Actuarial exams progress or certification (preferred but not mandatory).

Key Competencies

• Strong analytical and problem-solving skills.

• Attention to detail and data accuracy.

• Effective communication and stakeholder management.

• Ability to work collaboratively in cross-functional teams.

• Proactive mindset with a focus on continuous improvement.

Skill : End to End RCM Quality (this will include scheduling, Billing, cash posting, coding and denial management – AR Denial Management)

The Assistant Manager Quality is responsible for overseeing end to end quality performance, ensuring process accuracy, and driving continuous improvement across operations.

The role involves conducting regular audits, identifying error trends, performing root cause analysis, and implementing corrective and preventive action plans to reduce defects.

This position also supports training needs, facilitates calibration sessions, prepares quality dashboards and reports, and partners closely with operations and clients to ensure all quality related KPIs and SLAs are consistently met.

Strong analytical ability, teamwork, communication skills, and experience in quality frameworks are essential for success in this role.

Managing a diverse sales operations for North America market. Need someone with experience in digital sales for offshore support.

Graphic designer - Assistant Manager

Exp - 5 - 8 Years

Design and develop responsive website layouts using HTML5, CSS3, Bootstrap Framework, JavaScript, and jQuery.

Convert wireframes and design mockups into fully functional, high‑quality web pages.

Use Adobe Photoshop and Illustrator for graphics, icons, and UI assets.

Ability to design occasional marketing assets like banners, email templates.• Create wireframes, prototypes, and UI mockups using Adobe Photoshop, Figma or Adobe XD.

Ensure all designs follow brand guidelines, accessibility standards, and UI/UX best practices.• Collaborate with back-end developers to ensure seamless implementation of UI designs.

Conduct UI usability testing and iterate designs based on user insights and feedback.

Optimize websites for performance, responsiveness, and cross‑browser compatibility.

Translate user needs and business goals into intuitive and engaging web experiences.•

Maintain reusable components, style guides, and design systems to ensure consistency.•

Implement responsive layouts using CSS3 Media Queries to ensure seamless user experiences across desktops, tablets, and mobile devices.•

Adjust UI components and page structures for different screen sizes through effective use of Media Queries.

• Participate in UX research, user journey creation, and persona analysis to support design decisions.•

Analyze user feedback and market trends to continuously improve website interfaces and interactions.•

Contribute to website architecture discussions and recommend scalable design solutions.

Additional (Good to Have) Responsibilities:• Understanding of PowerPoint Designing and Video editing, Motion graphics knowledge.

Role Overview: We are hiring an LLMOps Engineer to join our AI Research team, a highly technical group working on cutting-edge advancements in the AI industry. The team focuses on building scalable, production-grade LLM systems, fine-tuning strategies, evaluation frameworks, and next-generation deployment architectures.

This role requires hands-on experience operating LLMs beyond simple API integration. The ideal candidate understands the architectural, operational, and evaluation complexities that differentiate LLMOps from traditional MLOps.

Responsibilities:- 

1. Manage the end-to-end lifecycle of LLMs: registry, packaging, versioning, deployment, monitoring, and rollback.
2. Deploy and operate self-hosted / open-source LLMs (not limited to OpenAI API usage).
3. Design and manage scalable inference infrastructure, including GPU-aware deployments.
4. Implement CI/CD pipelines for LLM deployment and continuous evaluation.
5. Monitor system performance including latency, throughput, token usage, cost, drift (model and data), and hallucinations.
6. Ensure secure, compliant, and resilient cloud-based model deployments.
7. Collaborate with research and engineering for deployments.

Skills:-

1. Strong hands-on experience with LLM handling, hosting, and operationalization.
2. Clear understanding of how LLMOps differs from traditional MLOps (prompt management, non-deterministic outputs, semantic evaluation, token economics, guardrails etc.).
3. Experience with Kubernetes, Docker, and containerized deployments.
4. Cloud expertise (AWS / Azure / GCP) including compute, storage, IAM, networking, and monitoring.
5. Experience building scalable inference and model-serving architectures.
6. Familiarity with tools such as MLflow, Kubeflow etc. (good to have).
7. Understanding of vector databases, RAG systems, and evaluation frameworks (preferred).
8. Knowledge of GenAI security considerations (prompt injection, data leakage prevention).

To drive V and A and floor support training teams for on time and quality delivery.

To impart training on soft skill voice and accent communication skills to the new hire and enable them to perform their job effectively and efficiently.

Drive and improve Spoken and Written English Communication voice Chat Email and Floor Support for on time and quality delivery.

Conduct TNI and TNA to program the modules as per the process needs.

New Hire Training on Spoken and Written Communication Customer Service and Cultural Alignment for Pre Process batches

Conduct TNA through NPS CSAT Quality analysis conduct TNI through floor interventions NPS management through

Agent Skill Mapping and development Frontend skill management initiatives including coaching & training SLA Management for all Floor

Training Initiatives on Time Reporting of NPS Management Drives prepare site related management reports WBR MBR etc

Ensure optimum utilization of training resources within the site

Liaise with Operation to ensure there is adequate and effective training support provided

Analyses identify internal external customer requirements through data analysis and use training as a tool to resolve issues Report accurate statistics

Consistently achieve or exceed quality training and targets Conform to company and client security requirements

Should have experience with managing Communication and Soft skills training for Corporate Travel

Job description

As a Sales Manager you will evaluate sales opportunities in multiple domains like BFSI, Telecom etc. Your exposure to Solution Sales/ Consulting environment or financial services will differentiate you from the rest.

You will sit within our Consumer services business, one of our four Global Business Lines. We create credit reports by collecting and analysing credit histories – sorting through data about the credit people applied for, whether their applications were successful, and how they paid the credit back. We share this information with businesses so they can calculate a credit decision, usually using a credit score. This score predicts how likely people are to pay back what they owe. This combination of data, scores and software allow businesses to make accurate, fair and quick credit decisions.

 What you’ll do (Job responsibilities for this role)

1. Business Development & Sales:

• Identify and target prospective Banks, NBFCs, Insurance companies, neobanks, payment companies, and other financial technology businesses.
• Increase sales of Experian's products and services, such as Bureau Solutions, credit risk solutions, fraud prevention tools, analytics platforms, and decisioning systems.
• Develop a strategic sales plan to achieve revenue targets and expand our client base within the FinTech segment. 

2. Client Relationship Management:

• Build long-term relationships with important decision-makers at client organizations.
• Be a trusted advisor by understanding client needs and recommending appropriate solutions.
• Collaborate with clients to address challenges related to risk management, regulatory compliance, and customer acquisition. 

3. Solution Selling:

• Present Experian’s offerings in a compelling manner, showcasing how they address specific client challenges.
• Customise proposals, presentations, and pricing strategies to align with client goals
• Partner with our teams (example- product, analytics, and implementation) to ensure delivery of solutions.

4. Market Intelligence & Strategy:

• Monitor trends and developments in the BFSI industry to identify opportunities.
• Provide feedback to the product development team on market demands and latest technologies.
• Represent Experian at industry events, conferences, and forums to enhance brand visibility and network with potential clients.

5. Reporting & Performance Management:

• Maintain accurate records of sales activities, opportunities, and forecasts in the CRM system
• Track and report on main performance metrics, including revenue growth, client acquisition, and customer satisfaction
• Identify areas for improvement and implement strategies to increase sales processes.