About Our Client

Our client is a Global Banking Setup

Job Description

Business Partnering & Influence:

- Act as a strategic advisor to senior leadership, translating analytics and AI insights into clear priorities, decisions, and measurable business outcomes.

AI & Analytics Strategy:

- Define and execute an enterprise analytics strategy that accelerates business growth, sharpens decision-making, and strengthens fraud analytics.

GenAI & Agentic AI Innovation:

- Lead the design and deployment of Generative AI and Agentic AI solutions that reimagine customer journeys, reduce operational toil, improve productivity, and enable smarter data-led decisions.

Analytics Capability Development:

- Build a high-impact analytics team by embedding modern tools, reusable frameworks, agile delivery practices, and continuous upskilling in AI, data science, and governance.

Data Architecture & Governance:

- Work closely with Group Technology and Data Engineering to ensure scalable, secure, and well-governed data pipelines and architecture aligned to the bank's enterprise data strategy.

The Successful Applicant

Technical & Analytical Expertise:

- Expert-level proficiency in Python and PySpark for large-scale data processing, advanced model development, and automation.




- Demonstrated success in taking GenAI and Agentic AI use cases from concept to production, with clear value realisation.
- Solid understanding of data architecture, data pipelines, MLOps, and model deployment frameworks in enterprise environments.

Banking & Business Acumen:

- Deep knowledge of retail and institutional banking products, customer lifecycles, economics, and profitability levers.
- Proven ability to lead data-led transformation and deliver commercial, customer, risk, and productivity outcomes in banking or financial services.

Leadership & Stakeholder Skills:

- Exceptional stakeholder management, influencing, storytelling, and executive communication skills.
- Track record of building, inspiring, and developing high-performing analytics and AI teams.

Qualifications:

- Postgraduate qualification in Data Science, Computer Science, Statistics, Engineering, or a related quantitative discipline.
- 15+ years of experience in data analytics, AI, or digital transformation, ideally in banking or financial services.
- Hands-on exposure to enterprise-scale AI/ML production deployments, responsible AI practices, and AI governance frameworks.

What's on Offer

- A chance to lead a data science team in the business services industry.
- Opportunities to work on impactful data-driven projects.

📌 Head Data Science (Mumbai)
🏢 Michael Page
📍 Mumbai