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.