Head Data Science | Banking | 18 + Years Exp

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

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