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Head Data Science | Banking | 18 + Years Exp

Mumbai Permanent View Job Description
The Head Analytics & Data Science is responsible for defining and driving the end-to-end analytics and data science agenda for the Commercial Banking business. This leadership role owns business-critical analytics outcomes across credit, risk, growth, customer engagement, productivity, and portfolio management, ensuring that data-driven decisioning is embedded into core commercial banking processes at scale.
  • Define organizational data science strategy
  • Lead a dynamic team and work in a fast paced environment

About Our Client

It is an Indian Banking client

Job Description

Key Responsibilities - * Own analytics and data science outcomes for Commercial Banking across lending, collections, customer analytics, pricing, cross-sell, risk models and portfolio management.
* Define and execute the Commercial Banking analytics strategy aligned to business priorities, regulatory expectations, and enterprise data standards.
* Lead 20+ member multi-disciplinary teams spanning analytics, data science, model development, and advanced analytics use cases.
* Drive development, deployment, and lifecycle management of credit, risk, propensity, and decisioning models, ensuring robustness, explainability, and regulatory compliance.
* Embed analytics into frontline and operational systems to enable straight-through processing, automation, and real-time decision support.
* Partner with Commercial Banking leadership to identify, prioritize, and deliver high-impact analytics use cases with clear business ownership and value realization.
* Work closely with Enterprise Data Platform, Technology, and Architecture teams to ensure comprehensive, scalable, reliable, and compliant data access for analytics.
* Establish strong analytics governance covering model risk management, validation, monitoring, documentation, and audit readiness.
* Act as the single accountable leader for analytics talent, capability building, vendor partnerships, and external ecosystem engagement within Commercial Banking.
* Drive adoption of advanced analytics, machine learning, and AI responsibly, aligned with data privacy, security, and regulatory requirements.

The Successful Applicant

As a successful candidate, you should have -

* 18+ years of experience across analytics, data science, or quantitative domains, with leadership exposure in banking or financial services.
* Proven experience owning large-scale analytics and data science functions with outcomes
* Ability to operate at scale, influencing senior business, risk, and technology stakeholders.
* Track record of building high-performing analytics teams and delivering sustained business impact.
* Well versed with data fundamentals, hands on and technical depth prefered
* Exposure to model risk management, regulatory expectations, and governance

What's on Offer

  • Work in a fast paced and data driven environment.
  • Being responsible for organisation level strategic decision making.
Quote job ref
JN-022026-6953577

Job summary

Function
Analytics
Sub Sector
Machine Learning
What is your area of specialisation?
Financial Services
Location
Mumbai
Job Type
Permanent
Job Reference
JN-022026-6953577

Diversity & Inclusion at Michael Page

We don't just accept difference - we celebrate it. We encourage applicants from all backgrounds to apply for this role and are committed to building inclusive, diverse workplaces where everyone can thrive. If you require any support or reasonable adjustments during the recruitment process, please let us know.