Director, Applied AI Product Management - Remote

Cigna Healthcare

Bloomfield (CT)

Hybrid

USD 155,000 - 259,000

Full time

14 days+

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Benefits offered by this job

Medical benefits

Vision benefits

Dental benefits

401(k)

Life insurance

Tuition reimbursement

Paid time off

Paid holidays

Leaves of absence

Job summary

The Cigna Group in Bloomfield, CT is seeking a Director, Technical Product Management - Applied AI to lead strategy and delivery of AI-enabled Finance products across global teams. You will translate complex business needs into prioritized roadmaps and scalable enterprise solutions.

The ideal candidate combines strong technical product leadership with AI, data platforms, and enterprise architecture knowledge, thriving in a global matrixed environment and driving adoption and measurable business

Qualifications

8+ years of experience building, managing, or delivering enterprise platforms or technology products.
Demonstrated experience partnering with Engineering and Architecture teams to deliver complex, integrated solutions.
Strong understanding of enterprise technology, data platforms, and AI capabilities, with the ability to evaluate practical use cases, constraints, and tradeoffs.
Ability to translate business problems into clear product requirements, roadmaps, and executable delivery plans.
Experience leading initiatives in a global, matrixed organization and influencing stakeholders.
Executive-level communication skills, including the ability to present recommendations, delivery risks, and tradeoffs to business and technical leaders.
Demonstrated ability to navigate ambiguity, manage competing priorities, and drive results in an evolving environment.
Bachelor’s degree in Computer Science, Information Systems, or Business Administration or related field.

Responsibilities

Define and execute the product vision, strategy, and roadmap for Finance AI products and enabling technology capabilities.
Partner with Finance process owners and technical leaders to identify high-value opportunities, clarify user needs, and convert business problems into prioritized product requirements.
Make product decisions that balance business value, user experience, technical feasibility, risk, and long-term maintainability.
Promote reusable capabilities and scalable solution patterns that can be applied across Finance rather than creating isolated point solutions.