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Group 1001
Remote Location
Source: Group 1001 careers · View original posting
From Group 1001's posting. “We” and “our” refer to the employer.
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 operations data isn't producing the insight; it's the last mile: the gap between an insight existing and the operation acting on it. That gap closes only when someone inside operations owns the problem and the outcome, not just the analysis. This is that person. You bring the operational fluency, the relationships, and the judgment to turn data and AI capability into changes that show up in how the contact center and back-office run, while a central data and engineering team handles the build.
You frame the problem and own whether it lands; they own production . Both names on the work, never thrown over a wall.
The portfolio. Translate the operations strategy into a prioritized set of the problems most worth solving with data, analytics, and AI. Separate a structural opportunity from quick win noise and own the call on what's worth doing.
The interpretation. Turn data into a narrative that changes a specific decision. Be the point of insight operations leadership turns to and hold your ground when the data contradicts the plan.
The last mile. Drive insight into the real workflow and the moment of decision; you own whether it gets adopted, not just whether it gets delivered.
The hand-off. Qualify what's worth putting into the build queue, write the specs that make a hand-off succeed (clear definitions, the rules a shared data dependency must hold, and what “done" means), and judge whether what comes back is right.
The AI agenda for ops data. As more of the work involves AI, help shape and qualify where it’s worth applying, and represent operations in how those capabilities get used and governed.
Success is measured on outcomes, not output- Decisions are changed and value is realized in the operation.
The right problems - the most important data problems are the ones being worked, in priority order.
Adoption – insight is embedded in real workflows and trusted by the people making the calls
Partnership health – use cases are co-owned with the central data team and land cleanly, with no work thrown over the wall. One operational 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 $130,000/year in our lowest geographic market up to $160,000/year plus bonus in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.
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