AI Program Manager
About The Position
Principal Duties and Responsibilities Lead end-to-end delivery of analytics transformation initiatives, guiding projects through the full stage gate process from discovery to production. Serve as the strategic orchestrator and translator-aligning data science, engineering, and business teams around shared goals, timelines, and deliverables. Translate high-level business challenges into clearly scoped analytics use cases, with defined success criteria and measurable KPIs. Partner with stakeholders to design and run stage gates, ensuring that each project milestone includes structured assessments, go/no-go decisions, and learnings incorporated into design. Establish and institutionalize measurement frameworks that evaluate business value creation at each phase of an analytics initiative Manage project backlogs, intake pipelines, and prioritization frameworks to focus on high-impact analytics opportunities. Build and communicate compelling transformation narratives, leveraging visualization, storytelling, and executive-ready documents that drive engagement and decision making. Ensure business readiness for analytics products in production-including training, process integration, and stakeholder support. Coach teams through common analytics project challenges such as ambiguous problem framing, data limitations, or unclear business buy-in. Stay current with industry best practices in analytics enablement, data governance, and program management.
Responsibilities
- Lead end-to-end delivery of analytics transformation initiatives, guiding projects through the full stage gate process from discovery to production.
- Serve as the strategic orchestrator and translator-aligning data science, engineering, and business teams around shared goals, timelines, and deliverables.
- Translate high-level business challenges into clearly scoped analytics use cases, with defined success criteria and measurable KPIs.
- Partner with stakeholders to design and run stage gates, ensuring that each project milestone includes structured assessments, go/no-go decisions, and learnings incorporated into design.
- Establish and institutionalize measurement frameworks that evaluate business value creation at each phase of an analytics initiative
- Manage project backlogs, intake pipelines, and prioritization frameworks to focus on high-impact analytics opportunities.
- Build and communicate compelling transformation narratives, leveraging visualization, storytelling, and executive-ready documents that drive engagement and decision making.
- Ensure business readiness for analytics products in production-including training, process integration, and stakeholder support.
- Coach teams through common analytics project challenges such as ambiguous problem framing, data limitations, or unclear business buy-in.
- Stay current with industry best practices in analytics enablement, data governance, and program management.
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What This Job Offers
Career Level
Principal
Industry
Insurance Carriers and Related Activities
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
