Senior Data Product Specialist

About GAINSCO

Founded in 1978, GAINSCO offers property and casualty insurance with an emphasis on non-standard personal auto policies. It serves drivers nationwide by providing minimum-limits personal auto coverage, making insurance more accessible to a broader market. In 2020, GAINSCO, Inc. and its subsidiaries were acquired, making a significant milestone that strengthened GAINSCO’s ability to grow and expand its reach in the personal auto industry market while continuing to build on its decades of specialized expertise.

Join a team that is dedicated to supporting your professional growth and long-term success.

Who We Are

At GAINSCO, we are a team driven by passion, creativity, and a commitment to excellence. We celebrate achievements, encourage innovative thinking, and recognize the unique strengths each person brings. Our people truly set us apart. If you’re seeking a company where your contributions are valued, your efforts have a visible impact, and your dedication is recognized, take the next step in your career with us.

GAINSCO is seeking a Senior Data Product Specialist to own the strategy, lifecycle, adoption, and performance of trusted enterprise data products. This role connects business needs with Data and Analytics capabilities, ensuring data products are reusable, well-governed, accessible, and aligned with measurable business outcomes. You will establish product direction, prioritize investments, coordinate cross-functional delivery, and help consumers discover, understand, trust, and use data products effectively. The ideal candidate brings strong product judgment, business acumen, and the ability to communicate clearly with both technical and non-technical audiences.

What does a Senior Data Product Specialist do?

• Define the vision, value proposition, target consumers, intended decisions, business outcomes, and success measures for assigned data products.
• Build outcome-based product roadmaps and prioritize investments based on consumer value, strategic alignment, product health, risk, cost, feasibility, and capacity.
• Own the full data product lifecycle, from concept and investment decisions through launch, adoption, optimization, scaling, and retirement.
• Align business sponsors, data owners, Engineering, Architecture, Governance, Analytics, and Platform teams around priorities, funding, releases, and outcomes.
• Drive adoption and monitor product health through usage, satisfaction, trust, reliability, service performance, reuse, and business outcomes.
• Mentor team members and cross-functional partners on data product practices, lifecycle standards, consumer engagement, and outcome accountability.

What is required?

Education:

• High school diploma or equivalent required.
• Bachelor’s degree in Product Management, Information Systems, Data Analytics, Business, Finance, or a related field preferred.

Experience:

• 5+ years of experience in data product management, digital product management, analytics product ownership, data commercialization, or a related product-focused field is required.
• 1+ years of experience in the Property and Casualty insurance industry is required, particularly within Personal Auto is preferred.
• 2+ years of experience owning or supporting enterprise data products across cross-functional teams is preferred.
• Experience defining consumer needs, business outcomes, service expectations, and measurable product success indicators is required.
• Experience leading products through the full lifecycle, including discovery, launch, adoption, optimization, scaling, lifecycle review, and retirement is required.
• Experience prioritizing product investments based on business value, strategic alignment, product performance, risk, cost, feasibility, and capacity is required.
• Experience partnering with business and technical teams to communicate product priorities, decisions, tradeoffs, risks, and expected value is required.
• Experience using Azure DevOps, Visio, Lucidchart, Miro, or comparable product planning, collaboration, and visualization tools.

Other skills and abilities:

• Working knowledge of data quality, metadata, lineage, governance, master and reference data, analytics, and enterprise data platforms.
• Working knowledge of SQL and familiarity with technologies such as Azure data services, Snowflake, Airflow, Kafka, Fivetran, and Power BI.
• Ability to translate complex business and data concepts into clear product strategies, priorities, and recommendations.
• Ability to evaluate product usage, consumer feedback, performance, risk, and value to guide product and investment decisions.
• Strong communication, storytelling, stakeholder management, and influencing skills.
• Ability to lead through collaboration and align cross-functional teams without direct authority.
• Ability to mentor others and strengthen data product thinking and outcome accountability across the organization.

What else do you need to know?

• Hybrid
• Excellent benefits package medical & dental, vision insurance, life insurance, short-term and long-term disability insurance.
• Parental Leave Policy
• 401K + Company Match
• PTO Plan + Paid Company determined Holidays.

**Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity**

All offers are contingent upon a successful background investigation (including employment, education, criminal and DMV verification- when applicable) and a pre-employment drug test with results satisfactory to GAINSCO.

GAINSCO is an Equal Employment Opportunity Employer