The Senior Data Program Manager will lead strategic initiatives focused on modernizing and scaling enterprise data platforms. This role demands deep expertise in Master Data Management (MDM) ETL modernization and cloud-native architectures on AWS with a strong emphasis on program governance stakeholder alignment and delivery excellence.
Key Responsibilities
- Program Leadership: Drive end-to-end delivery of large-scale data modernization programs including MDM and ETL transformation initiatives.
- Cloud Transformation: Lead migration from legacy ETL platforms (e.g. Informatica PowerCenter) to AWS-native solutions using PySpark Glue and other services
- Architecture & Strategy: Collaborate with solution architects to define scalable integration architectures and next-gen MDM SaaS ecosystems
- Stakeholder Management: Engage with cross-functional teams including business technology and client partners to ensure alignment and transparency.
- Governance & Reporting: Establish program governance frameworks track KPIs and report progress to senior leadership and clients.
- Team Enablement: Mentor engineering leads and data architects fostering a culture of innovation and accountability.
Required Skills & Experience
- 10 years in data program management with proven success in large-scale data platform delivery.
- Deep expertise in MDM systems ETL tools and data integration frameworks.
- Strong hands-on experience with AWS services: EC2 S3 Glue EMR Lambda IAM CloudFormation etc.
- Familiarity with PySpark Kafka TALEND and CI/CD pipelines (Jenkins GitHub).
- Experience in data governance metadata management and data quality frameworks.
- Excellent communication stakeholder engagement and leadership skills.