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Gainbridge, part of Group 1001, seeks a senior data leader to translate strategy into actionable data, analytics, and AI initiatives. You will own the domain-level demand gate, ensure insights move into decisions, and partner with engineering to deliver measurable business outcomes.
You will shape AI agendas, foster data literacy, and collaborate across teams to ensure adoption and governance of analytic solutions that impact growth and risk management.
Group 1001 is a consumer-centric, technology-driven family of insurance companies on a mission to deliver outstanding value and operational performance by combining financial strength and stability with deep insurance expertise and a can-do culture.
Group 1001's culture emphasizes the importance of collaboration, communication, core business focus, risk management, and striving for outcomes. This goal extends to how we hire and onboard our most valuable assets - our employees.
Gainbridge, a part of the Group 1001 enterprise, is a self-managed, innovative, digital platform providing its clients with direct access to trusted financial products to smartly grow their savings over time. Gainbridge strives to offer products through its platform that are simple, intuitive, and backed by smart technology with no complexity or hidden fees. Gainbridge empowers clients to take control of the financial future with simple solutions that are accessible to everyone no matter their budget.
The hardest problem in data isn't producing insight - it's the last mile: the gap between an insight existing and the business acting on it. That gap closes only when someone inside the business owns the problem and the outcome, not just the analysis. This is that person for Gainbridge, Group 1001's direct-to-consumer financial services business. Gainbridge runs on decisions - where to acquire customers, how to price products, when to act on risk. This role exists to make sure data moves those decisions, not just informs them. You bring the business fluency, the relationships, and the judgment to translate data and AI capability into outcomes that show up in the business - while a dedicated data and engineering team handles the build. And the accountability comes with authority. This is not an influence-only role: you hold the demand gate for the domain (nothing enters the build queue without your qualification), acceptance authority over what counts as done, and a formal escalation path when delivered insight isn't acted on. You can stop work from starting, stop work from closing, and force a conversation when work isn't used.
On outcomes, not output. Decisions changed - outcomes moved at Gainbridge; the measure is value realized, not artifacts shipped. The right problems - the domain's most important problems are the ones being worked, in priority order. Adoption - insight is embedded in real workflows and trusted by the people making decisions. Partnership health - use cases are co-owned and land; both sides have standing. A wall of dashboards no one acts on is failure. One decision changed for the better is the job working.
Compensation: Our compensation reflects the cost of labor across several U.S. geographic markets.
The base pay for this position ranges from $140,000/year in our lowest geographic market up to $180,000/year in our highest geographic market.
Pay is based on factors such as market location, job-related skills, and experience.
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