Note: The job is a remote job and is open to candidates in USA. Group 1001 is a consumer-centric, technology-driven family of insurance companies focused on delivering value and operational performance through financial strength, insurance expertise, and collaboration. The Operations Analytics Lead will own the operations data and analytics portfolio, translate insights into operational decisions and workflow changes, and guide AI opportunities in partnership with a central data and engineering team.
Responsibilities
- 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
- 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
- Drive insight into the real workflow and the moment of decision; you own whether it gets adopted, not just whether it gets delivered
- 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
- 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
- Decisions are changed and value is realized in the operation
- The most important data problems are the ones being worked, in priority order
- Insight is embedded in real workflows and trusted by the people making the calls
- 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
Skills
- 8+ years in a data product owner, analytics, or data-SME role, with a track record of data work that changed a business outcome, not just reports delivered
- Real fluency with operational data and reporting; you can read a messy data landscape and say what matters
- Analytical judgment: you can interrogate data and models critically and interpret them soundly without needing to build them yourself
- Comfortable partnering with a central data organization without turf friction; ideally, you've sat as the embedded data owner next to a central data team before
- Communication and influence: you turn analysis into decisions, earn the trust of senior stakeholders, and can hold a point of view, including an unpopular one
- Applied AI fluency: conversant in what AI and agentic capability can and can't do, and where it's worth applying
- Working knowledge of the modern data stack (Snowflake and the tooling around it) so you can speak the builders' language
- Intellectual curiosity: you ask why the data looks the way it does, dig into discrepancies, and keep learning
- How you work with people matters as much as what you know: empathy and the instinct to read the room; you give feedback as a question and take it without ego; you stay flexible when plans shift, because they always
- Insurance, financial services, or other regulated-industry background
- Contact center or operations domain experience (Amazon Connect, Snowflake-based analytics
- Hands-on experience defining dashboards or data products that teams use
Benefits
- Employees (and their families) are eligible to participate in the Company’s comprehensive health, dental, and vision insurance plan options.
- Employees are also eligible for Basic and Supplemental Life Insurance.
- Employees are also eligible for Short and Long-Term Disability.
- All employees (regardless of hours worked) have immediate access to the Company’s Employee Assistance Program and wellness programs—no enrollment is required.
- Employees may also participate in the Company’s 401K plan, with matching contributions by the Company.
- Remote work arrangement
Company Overview
Company H1B Sponsorship