Director – Data, Analytics & AI (BFSI)

We are seeking an accomplished Data & Analytics Leader to drive enterprise-wide Data, Analytics, and AI transformation initiatives within the Banking, Financial Services, and Insurance (BFSI) sector.

This is a strategic leadership position combining technology consulting, enterprise transformation, business development, and client engagement. The ideal candidate will bring extensive experience in shaping data-led business strategies, building executive relationships, developing strategic opportunities, and delivering measurable business outcomes.

You will work closely with CDOs, CIOs, CAIOs, and senior business stakeholders to define transformation strategies, accelerate AI adoption, and drive business growth.

Key Responsibilities

1. Strategic Leadership & Client Advisory

• Build trusted relationships with CDOs, CIOs, CAIOs, and senior business executives.
• Advise BFSI clients on enterprise data strategy, analytics transformation, AI adoption, and data modernization.
• Lead executive workshops, strategic discussions, and transformation planning sessions.
• Translate business challenges into actionable roadmaps and measurable business outcomes.

2. Business Development & Growth

• Drive business growth across Data, Analytics, and AI consulting services.
• Identify, qualify, and develop strategic opportunities from initial engagement through proposal and closure.
• Lead RFP responses, solution development, commercial discussions, and executive presentations.
• Build strategic partnerships with technology providers, alliance partners, and consulting practices.
• Develop reference customers and establish long-term strategic client relationships.

3. Enterprise Data, Analytics & AI Transformation

• Define enterprise data strategies, target architectures, operating models, and governance frameworks.
• Drive modernization initiatives across cloud data platforms, data engineering, analytics, and AI.
• Guide the adoption of AI, Generative AI, Agentic AI, Machine Learning, and Responsible AI.
• Champion modern data platforms, data products, self-service analytics, and decision intelligence.
• Ensure solutions meet enterprise requirements for scalability, security, regulatory compliance, and cost optimization.

4. Program & People Leadership

• Provide executive oversight across large-scale consulting and transformation engagements.
• Establish governance frameworks covering delivery milestones, risks, dependencies, quality, and business outcomes.
• Lead and mentor cross-functional teams across consulting, architecture, engineering, analytics, and AI.
• Develop reusable frameworks, reference architectures, consulting offerings, and delivery playbooks.
• Support leadership development, talent acquisition, succession planning, and capability building.

Required Qualifications & Experience

• 18+ years of professional experience across Data, Analytics, AI, Technology Consulting, and Enterprise Transformation.
• Extensive expertise in Enterprise Data Strategy, Data Architecture, Data Governance, Data Products, and Data Modernization.
• Strong understanding of the end-to-end data value chain, including data engineering, integration, ETL/ELT, APIs, DataOps, and platform engineering.
• Proven experience leading enterprise Analytics and Business Intelligence initiatives.
• Strong knowledge of AI/ML, Generative AI, Agentic AI, MLOps/LLMOps, and Responsible AI.
• Experience designing and delivering enterprise-scale solutions using Azure, AWS, GCP, Databricks, Snowflake, and modern data platforms.
• Strong understanding of BFSI industry requirements, including regulatory compliance, data privacy, security, risk management, and auditability.
• Demonstrated success in consulting, business development, pre-sales, solution architecture, opportunity management, and commercial negotiations.
• Experience managing large transformation programs and engaging with C-suite executives.
• Proven ability to lead geographically distributed, cross-functional teams.

Education & Certifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, Business, Data, or a related discipline.
• Master's degree or MBA preferred.
• Relevant certifications in Cloud, Enterprise Architecture, Data Management, Analytics, AI, Program Management, or Executive Leadership are advantageous.

Leadership Competencies

• Executive stakeholder management and relationship building.
• Strategic thinking and business development.
• Excellent communication, presentation, and influencing skills.
• Strong commercial and business acumen.
• Enterprise transformation and program governance.
• Team leadership, mentoring, and capability development.
• High ownership, accountability, and commitment to client success.