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VP - Data Analytics & AI lead

Pune, India

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Date live: 09/07/2026

Business Area: Compliance

Area of Expertise: Data & Analytics

Contract: Permanent

Reference Code: JR-0000111374

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Barclays Data and Analytics

A career in Data & Analytics at Barclays is a hub for top talent, from beginners to experts, fostering innovation and excellence. You'll drive business strategy, leverage data potential, and enhance the experience of millions of customers in today’s data-driven world.

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The VP — Data Analytics & AI Lead is a senior leadership role within the  Compliance division, responsible for defining and executing the data analytics and artificial intelligence strategy across all risk domains. The role holder will build and lead a high-performing team that delivers Data analytics, machine learning models, and AI-driven solutions to strengthen risk identification, measurement, monitoring, and reporting capabilities.

This individual will act as the bridge between Compliance subject-matter experts and Technology teams, translating complex regulatory and business requirements into scalable, production-grade analytical solutions. The role demands a unique combination of deep technical expertise, strong business acumen in financial services risk management, and the ability to influence senior stakeholders across the organisation.

Key Responsibilities

Strategic Leadership & Vision
• Define and own the multi-year data analytics and AI roadmap for Compliance, aligned with the firm's enterprise data strategy and regulatory commitments.
• Identify and prioritise high-impact use cases for  Data Analytics ,AI/ML across credit risk, market risk, operational risk, financial crime, and compliance surveillance.
• Serve as the senior subject-matter expert on Data Analytics , AI/ML applications in Compliance management, advising the  Barclays Compliance functions on emerging capabilities, risks, and investment priorities.
• Champion a culture of data-driven decision-making across Compliance, driving adoption of advanced analytics among compliance professionals.

Advanced Analytics & AI Delivery
• Lead the design, development, and deployment of machine learning models, NLP solutions, and generative AI applications for risk detection, early warning systems, regulatory reporting, and compliance monitoring.
• Deliver predictive analytics capabilities including, anomaly detection for financial crime, stress testing automation, and real-time surveillance dashboards.
• Architect end-to-end ML pipelines from data ingestion and feature engineering through model training, validation, deployment, and monitoring.
• Drive the adoption of large language models (LLMs) and generative AI for regulatory document analysis, policy gap detection, and automated compliance assessments.

Model Risk & AI Governance
• Establish and enforce robust AI governance frameworks including model risk management, explainability standards, bias detection and mitigation, and responsible AI practices.
• Partner with Model Risk Management (MRM) to ensure all analytics models meet internal validation standards and regulatory expectations (e.g., SS1/23, SR 11-7, TRIM).
• Maintain comprehensive model inventories, documentation, and performance monitoring dashboards.
• Lead regulatory exam preparedness for AI/ML-related enquiries from the PRA, FCA, and other supervisory bodies.

Data Strategy & Infrastructure
• Collaborate with Chief Data Office, Data Engineering, and Cloud Platform teams to ensure  Compliance has access to high-quality, governed, and timely data.
• Define data quality requirements and risk data aggregation standards in alignment with BCBS 239 principles.
• Drive migration of legacy analytics to cloud-native platforms (AWS/Azure/GCP), ensuring scalability, security, and cost efficiency.
• Oversee the development and maintenance of enterprise BI dashboards and reporting solutions using tools such as Power BI, Tableau, and QlikSense.

Stakeholder Engagement & Communication
• Build strong partnerships with senior stakeholders across Compliance,  Technology, and Front Office to align analytics priorities with business needs.


Team Leadership & Talent Development
• Recruit, develop, and retain a diverse, high-performing team of data scientists, ML engineers, analytics engineers, and quantitative analysts.
• Establish clear career pathways, technical competency frameworks, and performance objectives for the analytics team.
• Foster a culture of innovation, continuous learning, and technical excellence, including participation in hackathons, research publications, and patent applications.

Technology & AI Solution Architecture:

 Lead the design, delivery, and evolution of the Compliance data analytics  Platform, encompassing modern data architectures, advanced analytics, machine learning, and generative AI solutions. The role requires expertise in scalable data platforms, AI/ML model development and operationalization, MLOps, and AI governance, with a proven ability to deliver risk, regulatory, and financial crime solutions through intelligent applications. The successful candidate will ensure all AI capabilities are deployed within robust governance frameworks aligned to regulatory and model risk management standards.

Essential Qualifications & Experience

Education
• Master's degree  in a quantitative discipline — Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering, or a related field.
• Relevant professional certifications are advantageous (e.g., FRM, PRM, CFA, AWS/Azure ML certifications).

Experience
• Progressive experience in data analytics, data science, or AI/ML, with at least 5 years in financial services — preferably within Risk, Compliance, or regulatory functions.
• Leadership experience managing multi-disciplinary analytics teams (6+ individuals) in a regulated environment.
• Proven track record of delivering production-grade ML models and AI solutions that have driven measurable business impact in risk management or compliance.
• Deep understanding of banking risk frameworks including credit risk (IRB models, IFRS 9, ECL), market risk (VaR, FRTB), operational risk (scenario analysis, loss data), and financial crime (AML, sanctions, fraud detection).
• Hands-on experience with regulatory requirements such as BCBS 239, Basel III/IV, MiFID II, GDPR, and UK regulatory expectations (PRA SS1/23, FCA guidance on AI/ML).
• Demonstrated experience managing the full model lifecycle — from development through independent validation, regulatory approval, and ongoing monitoring.

Technical Skills
• Expert proficiency in Python, R, or Scala for statistical modelling and ML development.
• Strong SQL skills and experience with big data technologies (Spark, Hadoop, Databricks).
• Hands-on experience with ML frameworks — TensorFlow, PyTorch, scikit-learn, XGBoost, LightGBM.
• Experience with NLP and generative AI technologies — LLMs, RAG architectures, prompt engineering, fine-tuning.
• Proficiency with cloud platforms (AWS SageMaker, Azure ML, GCP Vertex AI) and MLOps tooling (MLflow, Kubeflow, Airflow).
• Experience with BI and visualisation tools — Tableau, Power BI, QlikSense.
• Familiarity with data governance tools and metadata management platforms.

Desirable Skills & Experience

• Experience implementing Responsible AI frameworks including fairness testing, explainability (SHAP, LIME), and bias mitigation at enterprise scale.
• Knowledge of graph analytics and network analysis for financial crime detection.
• Experience with real-time streaming analytics (Kafka, Flink) for surveillance and monitoring use cases.
• Prior involvement in regulatory examinations, internal audit reviews, or supervisory engagement related to AI/ML models.
• Published research or patents in applied machine learning, risk analytics, or related fields.
• Experience leading cloud migration programmes for legacy risk analytics platforms.
• Familiarity with emerging regulations on AI (EU AI Act, UK AI regulatory framework) and their implications for financial services.
• ACAMS certification or AML/financial crime analytics expertise.
• Experience with Agile/SAFe delivery methodologies in large-scale technology programmes.

You will be assessed on key critical skills for the role, such as Model Risk & AI Governance, Analytical ability.

This role is based our of Pune.

Purpose of the role

To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. 

Accountabilities

  • Identification, collection, extraction of data from various sources, including internal and external sources.
  • Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.
  • Development and maintenance of efficient data pipelines for automated data acquisition and processing.
  • Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.
  • Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
  • Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.

Vice President Expectations

  • To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..
  • If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
  • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others..
  • OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
  • Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
  • Manage and mitigate risks through assessment, in support of the control and governance agenda.
  • Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
  • Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
  • Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
  • Adopt and include the outcomes of extensive research in problem solving processes.
  • Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Barclays welcomes applications from all candidates and is committed to ensuring reasonable adjustments (accommodations) are put in place to allow for a fair and inclusive recruitment process. For more information and how to request one, please review Adjustments to the recruitment process.

We’re a global, vital and highly respected financial organisation with an inspiring Purpose. Operating in 39 countries and employing around 100,000 people across the world, we help communities, individuals and businesses thrive. And we’ve created financial solutions and technology that the world now takes for granted. A career with us can offer incredible variety, depth and breadth of experience, and the chance to learn from some of the best minds in technology and finance.

To find out more about Barclays' strategy please click here.

We are an equal opportunity employer and opposed to discrimination on any grounds. It is the policy of Barclays to ensure equal employment opportunity without discrimination or harassment on the basis of race, colour, creed, religion, national origin, alienage or citizenship status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law.

Barclays is required by law to confirm that you have the Legal Right to Work in any role that you apply for. If you currently hold a work visa sponsored by Barclays, or you would require sponsorship from Barclays, you must declare this as part of your application. Sponsored visas are role and entity specific and any changes must be reviewed. It is important that you ensure you are working on the correct visa at all times. Failure to accurately disclose your visa status or Legal Right to Work may result in your application or any employment offer being withdrawn at any time.

This role may be subject to enhanced governance arrangements. If successful, you may be required to comply with additional regulatory and compliance obligations, such as disclosure of personal trading activities and external interest/affiliations.

Further information on these requirements will be provided at a later stage of the process.

This is Barclays Pune

Barclays Pune is the largest campus outside of Barclays’ global headquarters in London. Our aim is to build game-changing technology that supports businesses and functions across the globe, offering the highest quality service to our clients and customers.

It’s a state-of-the-art technology hub, and home to 9,000 colleagues across Operations, Technology and Functions.

Pune Campus provides opportunities for our colleagues to innovate, collaborate, and deliver great outcomes for customers and clients.

Our welcoming and inclusive culture supports you to bring your whole self to work, explore your potential and pursue your passions.

Pune is a million-square-foot environment-friendly, ultra-modern workplace with excellent facilities for work, socialising and leisure.

This is Barclays Pune

Barclays Pune is the largest campus outside of Barclays’ global headquarters in London. Our aim is to build game-changing technology that supports businesses and functions across the globe, offering the highest quality service to our clients and customers.

An innovative hub

It’s a state-of-the-art technology hub, and home to 9,000 colleagues across Operations, Technology and Functions.

Working better together

Pune Campus provides opportunities for our colleagues to innovate, collaborate, and deliver great outcomes for customers and clients.

A place where you can belong

Our welcoming and inclusive culture supports you to bring your whole self to work, explore your potential and pursue your passions.

An amazing place to work

Pune is a million-square-foot environment-friendly, ultra-modern workplace with excellent facilities for work, socialising and leisure.

Multicultural ERGs at Barclays

Be you. Be valued. Belong.

We celebrate the unique perspectives and experiences each individual brings, believing our differences make us stronger and drive success.

You can learn more about our commitment to our colleague on our Inclusion and Opportunities page.

Learn more

Application Process

Your application

We’ll ask for information about you, your CV and cover letter.

1

Your assessment

Covering your behaviours and ability at work.

2

Your interview

Exploring your past experiences and skills.

3

Next step

We’ll request additional information so that you can complete our screening process

4
How to ApplyRead our FAQ's
Barclays

Working flexibly

We’re committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognises and supports your personal needs, alongside the professional needs of our business. If you'd like to explore flexible working arrangements, please discuss this with the hiring manager. Your request will be reviewed in-line with the requirements of the role/business needs of the team.

Hybrid working

We have a structured approach to hybrid working, where colleagues work at an onsite location on fixed, ‘anchor’, days, as set by the business area. Please discuss the working pattern requirements for the role you are applying for with the hiring manager. Please note that working arrangements may be subject to change on reasonable notice to ensure we meet the needs of our business.

Barclays is built on an international scale.

Our geographic reach, our wide variety of functions, businesses, roles and locations reflect the rich diversity of our worldwide customer base. All of which means we offer incredible variety, depth and breadth of experience.
And the chance to learn from a globally diverse mix of colleagues, including some of the very best minds in banking, finance, technology and business. Throughout, we’ll encourage you to embrace mobility, exploring every part of our operations as you build your career.

Find more information

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