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.
