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.