Optum, a global leader in health optimization, is seeking a senior Data Product Capability Manager to drive strategic data initiatives. This hybrid role bridges data product ownership and cross-functional coordination, focusing on defining, governing, and enabling the consumption of enterprise data capabilities.

Reporting to Product Management, this position acts as a crucial link between business stakeholders, data owners, IT, and data governance teams. The goal is to ensure data products align with enterprise strategy, quality standards, and business value objectives, ultimately improving health outcomes for millions.

Join a culture of inclusion and opportunity to make a significant impact on global health advancement.

Key responsibilities include defining and managing the enterprise data capability roadmap, identifying data investment priorities, and maintaining the capability backlog. This involves assessing vendor and internal data needs, documenting requirements, and partnering with procurement and legal teams.

Engage with business and domain stakeholders to validate authoritative data sources and attribute requirements, facilitating workshops to surface needs and build consensus. Collaborate closely with IT and engineering for agile delivery planning, participating in sprint and PI planning.

Support enterprise data governance frameworks, policies, and practices, ensuring compliance with data standards and regulatory obligations. Define and enforce data quality standards, metrics, and SLAs for data products, working with engineering and analytics teams for monitoring and improvement.

Own the end-to-end lifecycle of enterprise data products, from ideation to sunset, ensuring documentation and alignment to business outcomes. Serve as the primary point of contact for data capability delivery, managing stakeholder expectations and providing executive reporting. Assess and improve data maturity, championing metadata standards and data catalog adoption for enhanced data discoverability.

A Bachelor's degree in Information Systems, Business, Computer Science, Data Science, or a related field is required, coupled with a minimum of 9 years of experience in product management, data management, or a related area. Demonstrated success in delivering data or technology capabilities within complex enterprise environments is essential.

Hands-on experience in agile delivery environments, including proficiency with frameworks like Scrum and tools such as Jira or Azure DevOps, is necessary. Experience supporting data governance initiatives, including data quality programs or regulatory compliance efforts, is also required.

Possess a solid understanding of structured data concepts, including data modeling, data dictionaries, systems of record, master data management, and enterprise data architecture principles. The ability to elicit, document, and prioritize data requirements from stakeholders, reconciling conflicting priorities, is crucial. Exceptional cross-functional communication and stakeholder management skills, with the ability to influence without direct authority, are paramount.