AI Solution Product/Program Manager
Job in
Phoenix, Maricopa County, Arizona, 85003, USA
Listed on 2026-06-02
Listing for:
Diverse Lynx
Full Time
position Listed on 2026-06-02
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Data Science Manager, IT Project Manager, Data Analyst
Job Description & How to Apply Below
Position: : AI Solution Product/Program Manager
Location :
Phoenix, AZ Onsite
Type of Hire :
Long Term Contract
Rate : $65-70/Hour
Role Description:
- Creating and maintaining a framework that outlines the policies, processes, and procedures for solution development and management.
- Establish clear lines of accountability and decision making for solution development and management.
- Effectively communicate, influence, and collaborate with diverse stakeholders, including executives, and development teams to successfully drive governance enforcement.
- Perform solutioning duties by de-mystifying complex needs in partnership with Product Delivery, Technology and Design partners.
- Documenting and Socializing solution frameworks and standards with Product and Technology teams.
- Creating and presenting leadership updates.
- Identify, prioritize, and deliver AI/ML and Generative AI use cases that measurably improve acquisition funnel performance (e.g., conversion, completion rates, decision speed, personalization).
- Translate business challenges into AI-enabled product requirements in partnership with Data Science and Engineering teams.
- Define experimentation strategies (A/B testing, pilots, model performance metrics) to validate AI solutions and quantify business impact.
- Partner with Risk, Compliance, and Governance teams to ensure Responsible AI implementation and regulatory adherence.
- Embed model monitoring, feedback loops, and performance KPIs into product lifecycle management.
- Influence roadmap prioritization to transition EAPP toward AI-native platform capabilities.
Qualification:
- 8-10 years of Product or Solution Management experience.
- Experience ideating, implementing and monitoring product, governance frameworks, including defining and tracking KPIs Strong knowledge of SDLC and Technical acumen.
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