Product & Delivery Ownership • • Own the end-to-end delivery of a data or analytics product, from requirements and prioritization through delivery and continuous improvement. • Define and communicate product objectives, priorities, and expected business outcomes. • Take accountability for product outcomes and value delivered, rather than focusing solely on completion of individual tickets. • Work closely with engineering teams to translate business objectives into actionable product requirements. • Prioritize product initiatives based on business value, customer needs, technical dependencies, and delivery considerations. • Track delivery progress, identify risks and dependencies, and proactively drive resolution of issues that could impact product outcomes. • Collaborate with engineering leadership to establish realistic delivery plans and priorities. • Ensure delivered capabilities meet business objectives and expected product outcomes. Backlog & Requirement Management • • Own and continuously refine the product backlog for the data/analytics product. • Define, prioritize, and maintain features, user stories, and product requirements. • Work with engineering teams to refine requirements and ensure sufficient clarity before development. • Balance new feature development with enhancements, technical dependencies, defects, and other product priorities. • Facilitate backlog refinement and prioritization discussions with engineering and business stakeholders. • Ensure backlog priorities remain aligned with the overall product objectives and delivery roadmap. Senior Stakeholder Management • • Establish strong working relationships with senior engineering stakeholders, business leaders, and cross-functional teams. • Act as the key product interface between business stakeholders and engineering teams. • Facilitate discussions involving product priorities, technical dependencies, delivery risks, and business outcomes. • Communicate product progress, challenges, risks, and decisions effectively to senior stakeholders. • Manage competing stakeholder priorities and drive alignment on product direction. • Present product status, delivery progress, and outcome metrics to leadership. Data & Analytics Product Management • • Work with data and engineering teams to understand data sources, analytics capabilities, product requirements, and dependencies. • Translate business needs into data and analytics product capabilities. • Define success criteria and measurable outcomes for product initiatives. • Use product and delivery data to assess performance and identify opportunities for improvement. • Drive continuous enhancement of the product based on stakeholder feedback, business needs, and measurable outcomes. Required Skills & Experience • • Proven experience as a Product Owner / Data Product Owner / Analytics Product Owner with ownership of a data or analytics product. • Strong experience managing end-to-end product delivery and outcomes. • Demonstrated experience managing product backlogs, prioritization, requirements, and delivery activities. • Strong stakeholder-management experience, particularly working with senior engineering stakeholders. • Ability to effectively communicate business objectives and product priorities to technical teams. • Demonstrated ability to take accountability for outcomes rather than simply managing tickets or task completion. • Strong understanding of Agile product development and delivery practices. • Experience working closely with Engineering, Data Engineering, Analytics, QA, and other technical teams. • Strong analytical, problem-solving, prioritization, and decision-making skills. • Excellent communication and presentation skills, with the ability to interact effectively with both technical and business leadership. • Ability to manage multiple priorities, dependencies, and stakeholders in a complex delivery environment. Strongly Preferred Skills • • Prior experience in Engineering Productivity, DevOps, Software Engineering Intelligence (SEI), or related technology/product environments. • Experience managing products or platforms focused on: • Engineering productivity • Developer experience • DevOps • Software delivery • Engineering metrics and analytics • Software Engineering Intelligence • Experience working with engineering productivity or developer-platform teams. • Experience running or managing vendor Proofs of Concept (POCs), including defining evaluation criteria, coordinating technical stakeholders, assessing outcomes, and presenting recommendations to leadership. • Exposure to evaluating third-party products and technology solutions. • Experience working with senior technology leadership and enterprise engineering organizations.