Technical Product Owner – Data & Analytics

Description

Hours- Candidates should be flexible to work a 8-hour shift between 8 AM – 5;00 PM with a one hour lunch.

Fulltime hybrid, Monday and Friday remote, Tuesday through Thursday in office.

Possibility of Conversion to Full-Time: Open for extension of job assignment, possible conversion to fulltime with the right candidate.

About the Role

Are you a dynamic Technical Product Owner with a passion for transforming data into powerful insights? We're seeking a lead member to join our agile delivery team and drive the development of impactful data and analytics solutions.

• In this hands-on role, you'll be the bridge between complex business needs and technical execution. You'll collaborate closely with business analysts, BI developers, report consumers, and data/BI architects to translate vision into a clear, actionable roadmap.
• You'll play a critical role in shaping our long-term data strategy by transforming requirements into refined backlog items.
• If you possess strong technical acumen, strategic thinking, and excellent communication skills, this is your opportunity to guide the delivery of high-quality, scalable, and insightful data products that directly align with our business priorities.

What You'll Do

Product Leadership & Strategy

• 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)
• 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.

Personal Attributes

• A 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.
• Possesses a team-first mindset and adaptability