AI & Data Product Manager

Applicants must be legally authorized to work in the United States at the time of hire and must not require employer sponsorship now or in the future. This position is not eligible for employment visa sponsorship, and the company will not assume sponsorship obligations for existing visa holders.

Living Our Values

All associates are guided by Our Values. Our Values are the unifying foundation of our companies. We strive to ensure that every decision we make and every action we take demonstrates Our Values. We believe that putting Our Values into practice creates lasting benefits for all of our associates, shareholders, and the communities in which we live.

Why Join Us

Career Growth: Advance your career with opportunities for leadership and personal development.
Culture of Excellence: Be part of a supportive team that values your input and encourages innovation.
Competitive Benefits: Enjoy a comprehensive benefits package that looks after both your professional and personal needs.

Total Rewards

Our Total Rewards package underscores our commitment to recognizing your contributions. We offer a competitive and fair compensation structure that includes base pay and performance-based rewards. Compensation is based on skill set, experience, qualifications, and job-related requirements. Our comprehensive benefits package includes medical, dental, and vision insurance, wellness programs, retirement plans, and generous paid leave. Discover more about what we offer by visiting our Benefits page.

A Day In The Life

The AI & Data Senior Product Manager at The Friedkin Group (TFG) owns the full product lifecycle — from discovery through production — and is accountable for ensuring data, analytics, and AI solutions are adopted, trusted, and deliver measurable business impact. This role operates at the intersection of business strategy, data science, AI engineering, and software delivery, translating enterprise vision into shipped product. Working closely with business stakeholders and Use Case Owners, the AI & Data Senior Product Manager crafts enterprise digital products powered by data, advanced analytics, machine learning, and Generative AI. They define performance metrics, success criteria, and adoption approaches while aligning technical execution with strategic objectives. Operating in a forward-deployed capacity, they surface emerging business needs, challenge the status quo with a builder mentality, and lead cross-functional teams to deliver scalable, high-impact solutions at speed. The ideal candidate is a hands-on product leader with strong technical fluency across modern data and AI platforms, capable of navigating complex, ambiguous environments. They ensure solutions are not only delivered efficiently but embedded into business processes, adopted by users, and generating sustained value across The Friedkin Group family of companies.

As a AI & Data Product Mgr You Will

Product Strategy & Vision
Translate business vision into clear technical product features, roadmaps, and design specifications — incorporating data, advanced analytics, automation, and GenAI capabilities grounded in technical feasibility.
Act as a trusted advisor and thought partner to business leaders, recommending novel and transformative approaches to solve business problems using data & analytics.
Identify and champion high-value AI and data product opportunities, including LLM agents, intelligent workflows, and document/process automation, with a track record of measurable business impact.
Stay ahead of AI innovation by integrating emerging technologies (multimodal models, agentic AI, reinforcement learning) and industry best practices into product strategy.
Backlog Management & Agile Delivery
Own and manage the product backlog, prioritizing features based on business value, technical feasibility, and strategic alignment; write detailed user stories with clear acceptance criteria.
Collaborate with the Scrum Master and development team to plan and prioritize releases, ensuring timely and high-quality delivery of product increments.
Operate in a forward-deployed capacity to uncover deep technical requirements and surface emerging business needs before they become blockers.
Work closely with project management and cross-functional product development teams to manage the delivery process, ensuring the product is built to defined requirements and user stories.
Cross-Functional Collaboration
Drive collaboration across applied science, AI engineering, data engineering, software engineering, cloud platform, and project management teams to deliver AI/ML solutions at scale.
Partner with Business Use Case Owners to define user acceptance criteria and testing procedures; work with technical teams to define the technical testing strategy.
Manage the technical rollout of the product, coordinating across IT, business, and product support teams; provide content needed to support business deployment.
Translate technical details into business-friendly language for non-technical audiences, support Business Use Case Owners in developing change and enablement approaches and stakeholder communications.
Product Performance & Governance
Define and track product performance metrics including adoption, usage, model performance, and business impact, monitor user feedback loops for continuous improvement.
Ensure compliance with regulatory, ethical, and risk frameworks; embed model explainability, fairness, and auditability into product design.
Apply working knowledge of security, compliance, and data governance for AI — including data classification, PII/PHI handling, access controls, and model risk management.
Lead change management efforts to ensure adoption and sustained value realization; manage customer relationships and business user engagement.
Accountable for product performance. Shared accountability for business outcomes with Business Use Case Owner.
Perform other duties as assigned; comply with all policies and standards; review