Senior Product Manager, AI-Driven Insurtech (Remote)

Howden

Chicago (IL)

Remote

USD 150,000 - 170,000

Full time

32 hours ago
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Benefits offered by this job

Medical, dental, and vision insurance
401(k) retirement plan
Flexible Paid Time Off and parental-le
Life and Disability insurance

Job summary

Howden is seeking a Senior Product Manager to own the colleague experience during our AI-driven transformation within the US Retail insurance broking business. You will coordinate with business teams, technology partners, and solution providers to deliver prioritized, end-to-end capabilities.

The role requires forward‑thinking, strong organization, and the ability to turn ambiguity into concrete plans, with exposure to AI-driven tools and governance practices.

Qualifications

  • 5+ years as a Product Manager in insurance, broking, or insurtech.
  • Experience owning a vendor platform and managing partner roadmaps to quality standards.
  • Familiarity with US retail broking processes.
  • Hands‑on experience owning product backlogs in Azure DevOps or Jira.

Responsibilities

  • Maintain cross-platform backlog view and surface dependencies for leadership.
  • Lead backlog refinement, user stories, acceptance criteria, and prioritization.
  • Collaborate with Data, Architecture, and Security to align with governance and AI standards.
  • Define future-state processes incorporating automation and AI-enabled capabilities.
  • Run experiments and prototyping with success criteria and human-in-the-loop validation.

Skills

Product management
Stakeholder communication
Backlog management
AI governance
Vendor management

Tools

Azure DevOps
Jira

Job description

Howden is seeking a Senior Product Manager to own the colleague experience during our AI-driven transformation within the US Retail insurance broking business. You will coordinate with business teams, technology partners, and solution providers to deliver prioritized, end-to-end capabilities.

The role requires forward‑thinking, strong organization, and the ability to turn ambiguity into concrete plans, with exposure to AI-driven tools and governance practices.

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