BFSI Tech Leader: Data, Analytics & AI Strategy

Persistent Systems; New Jersey; On-site; USD 250,000 - 350,000; Full time

Job summary

Persistent Systems is seeking a Technology Leader for Data, Analytics & AI in New Jersey to own end-to-end vision, strategy, and delivery across banking, capital markets, insurance, and wealth management client portfolios.

The role requires executive-level engagement with CDOs, CROs, and CTOs to modernize data estates, comply with regulatory obligations, and drive data-driven commercial advantage using platforms like Databricks and Snowflake.

Qualifications

• 20+ years of data and analytics leadership experience.
• Experience delivering large-scale BFSI data programs.
• Executive stakeholder engagement with C-level.
• Deep understanding of regulatory data requirements.
• Proven ability to lead multi-geography data platforms.

Responsibilities

• Define and evolve the BFS-specific data and analytics target-state architecture.
• Architect multi-year transformation roadmaps balancing regulatory imperatives with data monetization.
• Lead data modernization using Databricks and Snowflake across regulated industries.
• Lead end-to-end data programs including regulatory data lineage and reporting.
• Design real-time data pipelines for fraud detection, AML monitoring, and risk analytics.
• Advise CDOs, CROs, CFOs, CTOs and compliance on data strategy and investments.
• Represent the firm in client conversations and industry forums.

Skills

Data & analytics leadership

Enterprise architecture

Regulatory data programs

Cloud data platforms

Databricks

Snowflake

Kafka

BigQuery

AWS

Azure

GCP

Tools

Databricks

Snowflake

Kafka

BigQuery

AWS

Azure

GCP

Job description

Persistent Systems is seeking a Technology Leader for Data, Analytics & AI in New Jersey to own end-to-end vision, strategy, and delivery across banking, capital markets, insurance, and wealth management client portfolios.

The role requires executive-level engagement with CDOs, CROs, and CTOs to modernize data estates, comply with regulatory obligations, and drive data-driven commercial advantage using platforms like Databricks and Snowflake.