Technology Leader - BFSI (Data & AI

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.

Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 24 sequential quarters of growth with $436.5M in Q4 FY26 revenue, up 17.4% Y-o-Y growth. Our 26,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries.

We won the 2025 ISG Star of Excellence™ Award for AI and Data Excellence and were named a Leader in the Everest Group Talent Readiness for Next-generation Data, Analytics and AI Services PEAK Matrix® Assessment 2025.

The Technology Leader – Data, Analytics & AI is a mission-critical leadership role within our Banking & Financial Services practice. This executive will own the end-to-end vision, strategy, and delivery roadmap for data, analytics, and AI across our banking, capital markets, insurance, and wealth management client portfolio.

The Technology Leader will serve as a trusted advisor to Chief Data Officers, Chief AI officers Chief Risk Officers, Chief Digital Officers, and CTOs at Tier 1 banks, global insurers, asset managers, and payment networks — helping them modernize fragile data estates, meet intensifying regulatory obligations, and unlock commercial advantage through data-driven intelligence. The focus would be on partner platforms e.g. Databricks, Snowflake along with deeper understanding of real-time and batch financial services processes.

• Define and evolve the BFS-specific data and analytics target-state architecture — spanning retail banking, wholesale/investment banking, insurance, payments, and wealth management business lines.
• Architect multi-year transformation roadmaps that balance regulatory imperatives (BCBS 239, DORA, SR 11-7, GDPR/ CCPA) with commercial data monetization and customer intelligence programs.
• Lead data modernization strategy utilizing platforms such as Databricks, Snowflake for institutions navigating fraud and core banking modernization, post-merger integrations, or cloud adoption, AI enablement programs.
• Lead end-to-end solutioning for complex, multi-geography data programs covering: AI led regulatory data lineage and reporting automation (CCAR, FRTB, LCR, NSFR, Ana Credit), enterprise risk and finance data integration, trade and transaction data platforms, and customer 360 / Know Your Customer (KYC) data products.
• Architect and review platforms e.g. Databricks Lakehouse, cloud data warehouse, and data mesh patterns tailored to BFSI workloads including market data, reference data, instrument master, and high-volume transaction processing.
• Design real-time and near-real-time data pipelines for use cases such as fraud detection, AML transaction monitoring, liquidity risk, and algorithmic trading. Leverage Kafka and other platforms to work on real time.
• Act as a trusted advisor to CDOs, CROs, CFOs, CTOs, and Chief Compliance Officers at financial institutions; lead executive workshops and shape multi-year investment priorities.
• Navigate the intersection of business transformation, technology risk, model risk, and operations within highly regulated, systemically important financial institutions.
• Represent the firm in strategic client conversations, RFPs, and conference/industry forums (e.g., Sibos, Money
  20/20, GARP, ISDA).