Head Data Science | Banking | 18 + Years Exp

Michael Page; Mumbai; On-site; INR 4,000,000 - 8,000,000; Full time

Benefits offered by this job

Fast-paced environment

Strategic decision-making responsibility

Job summary

A leading banking consultancy in Mumbai is seeking an experienced leader for analytics in Commercial Banking. The role demands over 18 years of experience in analytics or data science, with proven success in large-scale functions and strong stakeholder influence. Candidates will drive strategic decision-making in a fast-paced environment, managing a sizable team while ensuring compliance with industry regulations. This unique opportunity allows for significant impact in a rapidly evolving sector.

Qualifications

• Minimum of 18 years of experience in analytics or data science with leadership exposure in banking.
• Proven ability to influence senior stakeholders.
• Experience in building high-performing analytics teams.
• Track record of building high-performing analytics teams and delivering sustained business impact.
• Well versed with data fundamentals, hands on and technical depth preferred.
• Exposure to model risk management, regulatory expectations, and governance.

Responsibilities

• Own analytics outcomes for Commercial Banking.
• Define analytics strategy aligned to business priorities.
• Lead large multi-disciplinary analytics teams.
• Drive development, deployment, and lifecycle management of credit, risk, propensity, and decisioning models with explainability and compliance.
• Embed analytics into frontline and operational systems for straight-through processing and real-time decision support.
• Partner with Commercial Banking leadership to deliver high-impact analytics use cases with clear ownership and value.
• Collaborate with Enterprise Data Platform, Technology, and Architecture teams for scalable data access.
• Establish analytics governance covering model risk management, validation, monitoring, documentation, and audit readiness.
• Act as accountable leader for analytics talent, capability building, vendor partnerships, and external ecosystem engagement.
• Drive adoption of advanced analytics, ML, and AI while upholding privacy, security, and regulatory requirements.

Skills

Leadership in analytics

Data science expertise

Quantitative analysis

Stakeholder management

Advanced analytics

Machine learning

Model risk management

Job description

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

• 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 preferred.
• 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.