Senior Data Product Specialist

GAINSCO•Richardson, TX

2d•Hybrid

About The Position

GAINSCO is seeking a Senior Data Product Specialist to own the strategy, lifecycle, adoption, and performance of trusted enterprise data products. The role connects business needs with Data and Analytics capabilities to ensure data products are reusable, well-governed, accessible, and aligned with measurable business outcomes. The specialist establishes product direction, prioritizes investments, coordinates cross-functional delivery, and helps consumers discover, understand, trust, and use data products effectively. The ideal candidate brings strong product judgment and business acumen and communicates clearly with technical and non-technical audiences. The role defines product visions, value propositions, intended consumers and decisions, business outcomes, and success measures. It develops outcome-based roadmaps, prioritizes investments, owns the full product lifecycle, aligns business and technical stakeholders, drives adoption, and monitors product health. It also mentors team members and cross-functional partners on data product practices and outcome accountability. The position is hybrid. GAINSCO describes itself as an employer that values professional growth, contributions, innovation, and recognition. Applicants must be eligible to work lawfully in the U.S. immediately; the employer will not sponsor U.S. work authorization. Offers are contingent on satisfactory background investigation and pre-employment drug test results.

Requirements

High school diploma or equivalent required.
At least 5 years of experience in data product management, digital product management, analytics product ownership, data commercialization, or a related product-focused field.
At least 1 year of experience in the Property & Casualty insurance or financial services industry.
Experience defining consumer needs, business outcomes, service expectations, and measurable product success indicators.
Experience leading products through the full lifecycle, including discovery, launch, adoption, optimization, scaling, lifecycle review, and retirement.
Experience prioritizing product investments based on business value, strategic alignment, product performance, risk, cost, feasibility, and capacity.
Experience partnering with business and technical teams to communicate product priorities, decisions, tradeoffs, risks, and expected value.
Experience using Azure DevOps, Visio, Lucidchart, Miro, or comparable product planning, collaboration, and visualization tools.
Working knowledge of data platforms, data management, data governance, and the data stack.
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.
Must be eligible to lawfully work in the U.S. immediately; GAINSCO will not sponsor applicants for U.S. work authorization.
Must pass a satisfactory background investigation and pre-employment drug test, contingent on offer.

Nice To Haves

Bachelor’s degree in Product Management, Information Systems, Data Analytics, Business, Finance, or a related field.
Experience in Personal Auto insurance.
At least 2 years of experience owning or supporting enterprise data products across cross-functional teams.

Responsibilities

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.