Technical Product Owner - Data & Analytics & Backlog Management
Work schedule hours are from 8:30 a.m. to 5:00 p.m. eastern standard time.
Worksite location address: 50 SOUTH 16TH STREET, PA, 19102
Interview process: 1st round video with hiring manager, 2nd round in person, with separate managers.
Job Summary
We are seeking a dynamic Technical Product Owner to join our agile delivery team and drive the development of impactful data and analytics solutions. As a lead member of the scrum team, you will collaborate closely with business analysts, BI developers, report consumers, data and BI architects to translate vision into actionable roadmap items. You’ll play a critical role in transforming complex business needs into refined backlog items that align with our long-term data strategy.
This is a hands-on role that combines strong technical skills with strategic thinking and excellent communication. You’ll be responsible for guiding the delivery of high-quality, scalable, and insightful data products while ensuring alignment to business priorities.
Key Responsibilities
Product Ownership & Backlog Management
• 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.
Stakeholder Engagement & Requirements Definition
• Engage with a wide range of stakeholders—business analysts, BI creators, report consumers, and architects—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.
Agile Delivery & Ceremonies
• 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.
Quality & Communication
• 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.
Required Skills & Qualifications
• 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, Python, and stored procedures for querying and transforming data.
• Familiarity with cloud data platforms and tools, particularly:
o AWS Redshift
o Tableau
o AWS SageMaker (preferred)
o (Power BI experience is a plus)
• 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 Qualifications
• 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.
Personal Attributes
• Strategic thinker with a detail-oriented mindset
• Strong communicator able to tailor messaging to both technical and non-technical audiences
• Self-driven with a passion for solving business problems through data.
• Collaborative, diplomatic, and flexible in dynamic team environments.
• A team mindset and the ability to adapt
Why Join Us?
• 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.
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