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.

Required Skills & Experience:

• 2+ years of experience with AWS, including Redshift.
• Proficiency in Tableau (our primary BI tool).
• Deep understanding of data modeling and Big Data concepts.
• Proven experience building out new data models and implementing data mesh architecture.
• Familiarity with creating new governance models for production and business environments.
• Ability to write compelling stories within reports in Tableau Cloud.
• Experience working with SageMaker and creating roadmaps for data solutions.
• Strong knowledge of cloud-native data solutions and querying data in the cloud.

Role Requirements:

Technical Product Owner – Data & Analytics

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 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).