Technical Product Owner (Data & Analytics)

Summary:

• Location: Philadelphia, PA
• Duration: 5 Months

Responsibilities:

• Own and manage the product backlog for the Data & BI scrum team, continuously refining features and user stories.
• Translate high-level business vision and reporting needs into concrete product roadmaps, epics, and user stories.
• Define clear acceptance criteria and ensure deliverables meet quality standards and stakeholder expectations.
• Engage with a wide range of stakeholders to elicit, document, and validate data and reporting requirements.
• Lead discussions to understand analytics needs, explore technical solutions, and prioritize delivery based on business value.
• Map reporting and data use cases to available solutions in the existing architecture.
• Actively participate in all Agile ceremonies, including sprint planning, daily stand-ups, backlog refinement, retrospectives, and PI planning sessions.
• Work collaboratively with developers, QA, and Scrum Master to ensure clarity, delivery, and continuous improvement.
• Review data products for completeness, accuracy, and alignment with acceptance criteria before release.
• Provide regular updates to stakeholders at various levels of the organization on team progress, challenges, and alignment to business objectives.
• Serve as the point of contact for escalations related to data products or backlog prioritization.

Requirements:

• Strong technical acumen in data product and BI solution delivery.
• Deep understanding of data modeling techniques and architectural patterns (star schema, normalized/denormalized models, etc.).
• Experience working with BI and data wrangling tools (Tableau, Power BI, etc.).
• Proficiency in SQL and stored procedures for querying and transforming data.
• Must be able to manage multiple projects simultaneously at various stages of development while prioritizing commitments and managing time effectively.
• Insurance Industry experience with Disability, FMLA, Life products preferred.
• Experience in Jira or something similar is a MUST.

Preferred Skills:

• Experience working in large, matrixed organizations with diverse stakeholder groups.
• Background in data governance, data quality, and metadata management.
• Familiarity with CI/CD practices and version control for data pipelines or BI artifacts.
• AWS SageMaker (preferred).
• Power BI experience is a plus.
• Familiarity with cloud data platforms and tools, particularly AWS Redshift and Tableau.

Benefits:

• Be a part of a transformative data journey in a highly respected organization.
• Work with cutting-edge data and cloud technologies.
• Drive real business impact with your work.
• Engage in a supportive and innovative culture focused on excellence.