Overview
On Site
$0.00/-
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - to 08/22/2026
Skills
Technical Product Owner Data & Analytics
Job Details
Job Title: Technical Product Owner Data & Analytics
Location: Philadelphia, PA (Hybrid - 1 day a week onsite)
Duration: 8 Months +
NOTE:
- Locals Only
- Must be available for in-person interveiw
Job Description:
What You'll Do
Product Leadership & Strategy
- Candidate must have excellent verbal and written skill sets, excellent communicator.
- 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 to ensure deliverables meet quality standards and stakeholder expectations.
Stakeholder Engagement & Requirements
- Collaborate with diverse stakeholders-including 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 existing architectural solutions.
Agile Delivery & Quality Assurance
- Actively participate in all Agile ceremonies: sprint planning, daily stand-ups, backlog refinement, retrospectives, and PI planning.
- Work collaboratively with developers, QA, and the Scrum Master to ensure clarity, efficient 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 primary point of contact for escalations related to data products or backlog prioritization.
What You'll Bring
Required Skills & Qualifications
- Must have 3 plus years of experience as a Technical Product Owner.
- Must have previous work experience with Big Data projects and financial insurance industry in the work history portion of their resume .
- Strong technical acumen in data product and BI solution delivery.
- Deep understanding of data modeling techniques and architectural patterns (e.g., star schema, normalized/denormalized models).
- Experience with BI and data wrangling tools (e.g., Tableau, Power BI).
- Proficiency in SQL, Python, and stored procedures for querying and transforming data.
- Must have 2 plus years of experience with cloud data platforms and tools, particularly:
- AWS Redshift
- Tableau
- AWS Sage Maker (Power BI experience is a plus)
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- Ability to manage multiple projects simultaneously, prioritizing commitments and managing time effectively.
- Insurance industry experience with Disability, FMLA, and Life products is preferred.
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.