Solution, Portfolio, Delivery and Support Manager

Solution, Portfolio, Delivery and Support Manager

Leads teams focused on Business systems and solution development and support. Designs, builds and supports solutions or improvements to business systems that can be accomplished through technology or alternative uses of existing technology. Oversees technical debt management, currency, KPIs and optimization of people. Serves as a liaison between the technical team, organization leadership, and providers. Oversees technical debt management, currency, KPIs, optimization of people and vendor activity for multiple vendors, may serve as primary relationship manager.

Oversee and lead the program execution for our Data Accessibility strategy. The ideal candidate will possess an understanding of the complexities involved in large-scale data migration projects, particularly from mainframe (e.g., DB2) and open systems (e.g., Oracle, SQL Server) to cloud environments. This includes familiarity with data extraction, transformation, and loading (ETL) patterns, data governance, and the challenges of integrating disparate data sources for a unified data warehouse. Experience working with teams that have successfully implemented such migrations is crucial.

Leadership and Program experience operating in an agile environment. The individual for this role should have experience participating in initiatives focused on data quality, data governance, and compliance. This involves understanding the importance of data integrity, security, and regulatory requirements in a multi-customer data environment, and ensuring that program efforts align with critical standards.

While not expected to be a data modeler or a DBA, the candidate should have familiarity of various database technologies (relational, e.g., DB2, Oracle, SQL) and the fundamental concepts of data modeling. This enables effective communication with data architects and engineers, ensuring the data warehouse design meets business requirements for multi-customer access and insights.

Demonstrated experience in guiding teams through the processes of data curation, cleansing, and transformation to create high-quality, consumable data assets. This includes understanding the lifecycle of data from raw source to curated insights and how to enable various stakeholders and customers to effectively access and utilize that data for their analytical needs.

Prior experience implementing data strategies. A solid understanding of AWS cloud data services and their application in building scalable and resilient data platforms. This isn't about being an expert in each service, but knowing how services like AWS S3, Amazon Redshift, AWS Glue, and Amazon RDS fit together within a modern data architecture. The candidate should be comfortable discussing technical trade-offs and dependencies with others.