Technical Product Owner

Summary: Work Mode: Hybrid or Remote (with occasional visits to the Philly office) Location: 50 South 16th Street, PA, 19102 Duration: 5 months with potential to extend Responsibilities: Own and manage the product backlog for the Data & BI scrum team, refining features and user stories. Translate business vision and reporting needs into product roadmaps, epics, and user stories. Define acceptance criteria and ensure deliverables meet quality standards and stakeholder expectations. Engage with stakeholders to elicit, document, and validate data and reporting requirements. Lead discussions to understand analytics needs, explore solutions, and prioritize delivery based on business value. Participate in Agile ceremonies, including sprint planning, daily stand-ups, backlog refinement, retrospectives, and PI planning sessions. Collaborate 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 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. Experience with BI and data wrangling tools (Tableau, Power BI, etc.). Familiarity with cloud data platforms and tools, particularly AWS Redshift, Tableau, AWS SageMaker (preferred), and Power BI. Ability to manage multiple projects simultaneously while prioritizing commitments and managing time effectively. Insurance industry experience with Disability, FMLA, Life products preferred. Experience in Jira or similar tools is a must. Preferred Skills: Experience 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. 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.