Data Insights Lead

Group 1001•Zionsville, IN

About The Position

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. Group1001’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. 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.

Requirements

Deep understanding of a direct-to-consumer financial services business — its growth model, customer funnel, and the decisions that move it. This outweighs technical depth.
Roughly a decade leading data or insight work with measurable business impact, in analytics, consulting, or a data-heavy domain role — and the credibility to influence senior decision-makers.
Able to interrogate data and models critically and interpret them soundly, without needing to build them yourself.
Turns analysis into decisions, earns the trust of senior stakeholders, and is comfortable holding a point of view — including an unpopular one.
Conversant in what AI and agentic capability can and can't do, and where it's worth applying.
Shares accountability and frames problems well; doesn't throw requirements over a wall.
Tells a structural opportunity from a quick-win distraction and prioritizes accordingly.

Responsibilities

Translate Gainbridge's strategy into a prioritized set of the problems most worth solving with data, analytics, and AI. Separate structural opportunity from quick win noise and own the call on what's worth doing.
Turn data and models into a narrative that changes a specific decision. Be the point of insight Gainbridge leadership turns to — and hold your ground when the data contradicts the strategy.
Drive insight into the actual workflow and the moment of decision. You own whether it gets adopted, not just whether it gets delivered, and you build the data literacy that makes insight trusted and used.
As the domain's outputs increasingly include AI, you shape and qualify where it's worth applying — and represent Gainbridge in how those capabilities get governed.
Co-own every use case with the data and engineering team that builds it. You frame the problem and own the outcome; they own production. Both names on the work — never thrown over a wall.