Delivery Manager - Data Engineering & Architecture - BFSI

Required Skills & Experience:

Primary Skills:

• Informatica PowerCenter, IDMC, IICS
• Oracle Database & Netezza
• Data Warehousing
• ETL / ELT Development
• Data Modeling
• Enterprise Data Architecture
• Delivery Management

Secondary Skills:

• Databricks
• Azure Cloud Data Platform
• PostgreSQL
• Snowflake
• PySpark

Preferred Skills:

• Data Governance
• Data Quality Management
• Metadata Management
• Data Lineage
• AI / ML Solutions
• Generative AI
• Agentic AI

Qualifications:

• 15 - 20+ years of experience in Data Management, Data Engineering, BI / Analytics, Enterprise Architecture, and Delivery Leadership.
• Strong architectural and hands-on expertise in Informatica PowerCenter, IDMC, and IICS.
• Extensive experience with Oracle, Netezza, Data Warehousing, ETL / ELT, and Data Modeling.
• Deep understanding of modern cloud - based data platforms including Databricks and Azure.
• Experience delivering large - scale data modernization and enterprise transformation programs.
• Strong knowledge of Data Governance, Data Quality, Metadata Management, and Data Lineage.
• Proven experience managing large delivery teams across multiple geographies.
• Excellent client - facing, stakeholder management, and communication skills.

Domain Experience:

• Banking & Financial Services (BFSI)
• Risk & Regulatory Reporting
• Financial Data Platforms
• Highly Regulated Industries

Leadership Competencies:

• Executive Stakeholder Management
• Enterprise Solution Architecture
• Large Program Delivery
• Strategic Client Engagement
• Commercial & Financial Management
• Team Building, Coaching & Mentoring
• Organizational Leadership

Success Measures:

• High client satisfaction and retention
• Successful delivery of programs within budget and timelines
• Adoption of modern data and AI platforms
• Business growth and account expansion
• Robust data architecture and governance implementation
• Team development and leadership effectiveness

Education:

• Bachelor's or Master's Degree in Computer Science, Information Technology, Engineering, Management Information Systems (MIS), or a related discipline.

Ideal Candidate:

• A strategic and technology - driven leader capable of driving Client Engagement, Delivery Ownership, and Enterprise Data Architecture, while leading Data & AI transformation initiatives leveraging Informatica, Netezza, Databricks, Cloud Data Platforms, and emerging AI technologies.