Director, Technical Product Management - Applied AI

The Cigna Group•Bloomfield, CT

2d•$155,300 - $258,800•Hybrid

About The Position

The Director, Technical Product Management - Applied AI leads the strategy, development, and delivery of AI-enabled products and technology solutions that improve Finance operations and decision-making. Working across Finance, Engineering, Data, and Architecture teams, this leader translates complex business needs into practical product strategies, prioritized roadmaps, and scalable enterprise solutions. The ideal candidate combines strong technical product leadership with a working knowledge of modern AI, data platforms, and enterprise architecture. This individual thrives in a global, matrixed environment, and drives cross-functional teams from concept through adoption and measurable business impact.

Requirements

8+ years of experience building, managing, or delivering enterprise platforms or technology products, including significant technical product management responsibilities.
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.

Nice To Haves

Experience delivering AI-enabled products or data-intensive solutions
Finance or healthcare industry experience.
Experience supporting product adoption, operating model changes, or enterprise-scale transformation.
Master'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.
Lead cross-functional delivery across discovery, solution design, development, testing, deployment, and post-launch optimization.
Coordinate complex technical dependencies, integrations, and sequencing across Engineering, Data, Architecture, and other enterprise partners.
Ensure products meet enterprise expectations for scalability, reliability, supportability, security, data integrity, and architectural alignment.
Establish clear outcomes, milestones, and decision points; surface risks early and drive timely resolution of delivery barriers.
Build trusted partnerships with Finance process owners, technology teams, and program leaders to align product delivery with strategic priorities and desired business outcomes.
Communicate progress, risks, dependencies, and tradeoffs clearly to executive sponsors and steering forums, enabling informed decisions.
Drive readiness, adoption, and operationalization of delivered capabilities.
Influence across a global matrixed organization, aligning stakeholders with different priorities around a shared product direction.