Position Details
Data Modernization Program Manager Apply
Job Title: Data Modernization Program Manager
Location: Erie PA - Onsite 5 days a week
Duration: 12+ Months
Experience Needed: 15+ Years
Location: Erie PA - Onsite 5 days a week
Duration: 12+ Months
Experience Needed: 15+ Years
Note: Candidate must have experience with Property and Casualty insurance Domain
Role Overview:
We are seeking a seasoned Data Modernization Program Manager to lead an enterprise-wide transformation program focused on modernizing our data ecosystem on AWS. This role will drive the migration of legacy data platforms to a cloud-native AWS Data Lake architecture integrated with Snowflake for scalable analytics. The successful candidate will combine program leadership skills with a deep understanding of AWS cloud services, data engineering best practices, and enterprise governance.
Key Responsibilities:
We are seeking a seasoned Data Modernization Program Manager to lead an enterprise-wide transformation program focused on modernizing our data ecosystem on AWS. This role will drive the migration of legacy data platforms to a cloud-native AWS Data Lake architecture integrated with Snowflake for scalable analytics. The successful candidate will combine program leadership skills with a deep understanding of AWS cloud services, data engineering best practices, and enterprise governance.
Key Responsibilities:
- Program Leadership & Strategy, running PI and Program planning sessions
- Own and execute the AWS-centric data modernization roadmap, including AWS Data Lake build-out and Snowflake integration.
- Collaborate with business and technology leaders to define modernization priorities, target architecture, and measurable success metrics.
Execution & Delivery:
- Lead the migration of on-premises and legacy data platforms into AWS Data Lake and Snowflake
- Oversee data ingestion pipelines using AWS Glue, AWS Lambda, AWS Kinesis, and other AWS-native services.
- Implement automated ETL/ELT processes integrating AWS services with Snowflake.
Technology & Architecture:
- Partner with architects to design scalable AWS Data Lake architectures and high-performance Snowflake schemas.
- Optimize AWS S3 storage, Snowflake compute usage, and data partitioning strategies.
- Integrate AWS-native services (Glue, Athena, Redshift Spectrum) with Snowflake for hybrid workloads.
- Establish metadata management and data quality frameworks leveraging AWS Glue Data Catalog and Snowflake governance features.
Team & Stakeholder Management:
- Lead cross-functional teams of data engineers, cloud engineers, BI developers, and governance specialists.
- Coordinate with AWS account teams, Snowflake solution architects, and vendors to drive adoption of best practices.
- Ensure transparent communication with executives and stakeholders on program progress, risks, and dependencies.
- Risk, Compliance, and Optimization
- Enforce AWS security best practices, including encryption, IAM roles, and data access controls.
- Monitor KPIs, cost metrics, and optimize AWS & Snowflake resources for performance and budget efficiency.
Preferred Skills
- AWS Certified Solutions Architect Professional or AWS Certified Data Analytics Specialty.
- Snowflake SnowPro Core or Advanced certification.
- PMP Certified
Sample Success Metrics
- Legacy platform decommissioned within planned timelines.
- X% improvement in data query performance in Snowflake.
- Reduction in data storage and compute costs on AWS by X%.
- Increased adoption of self-service analytics using AWS + Snowflake.
