Senior Product Owner (AI & Data focus)

Kforce has a client in Phoenix, AZ that is seeking a Senior Product Owner, AI & Data Strategy to help define, build, and scale enterprise AI products while advancing the trusted data foundations that enable those solutions to succeed. Summary: This is a senior-level individual contributor opportunity for an experienced product leader who can bridge strategy and execution, identify high-value AI opportunities, and partner across Product, Technology, Data, Architecture, Governance, and Business teams to deliver measurable outcomes. Responsibilities:

• Define and execute AI product strategies, roadmaps, and measurable business outcomes
• Evaluate, prioritize, and guide enterprise AI initiatives based on customer value, business impact, data readiness, technical feasibility, and risk
• Lead product discovery, experimentation, MVP development, launch planning, adoption, and continuous improvement efforts
• Translate strategic objectives into well-defined product backlogs, features, user stories, and success metrics
• Partner with data teams to improve data quality, governance, accessibility, lineage, and AI readiness
• Incorporate responsible AI principles, including privacy, compliance, security, governance, and human oversight requirements into product design
• Collaborate on AI platform capabilities and emerging AI-driven innovations across the enterprise
• Develop executive-level business cases, roadmap recommendations, performance scorecards, and strategic communications
• Drive stakeholder alignment and influence decision-making across cross-functional teams
• Measure product success through adoption, operational efficiency, productivity improvements, quality enhancements, and risk reduction

• Bachelor’s degree or equivalent combination of education and relevant experience
• 5+ years of experience in product management, product ownership, digital products, data products, analytics, or related disciplines
• Proven success leading product strategy, roadmaps, backlogs, and delivery for complex enterprise products or platforms
• Experience delivering AI-powered, machine learning, advanced analytics, intelligent automation, or workflow solutions
• Experience supporting organizational change management and user adoption initiatives
• Working knowledge of: Generative AI; Large Language Models (LLMs); Retrieval-Augmented Generation (RAG); AI agents; Prompt engineering; Model evaluation; AI observability
• Strong understanding of enterprise data management practices, including: Data governance; Data quality; Data lineage; Metadata management; Privacy controls; Access management
• Strong analytical thinking, prioritization, and business case development skills
• Ability to influence stakeholders without direct authority and communicate effectively with both technical and non-technical audiences, * Relevant certifications in product management, AI, data management, Snowflake, Salesforce, or Microsoft technologies
• 8+ years of experience spanning product strategy, AI product delivery, and data strategy
• Experience within financial services, wealth management, broker-dealer, RIA, or other highly regulated environments
• Experience with modern AI and data platforms such as: Snowflake AI; Salesforce Data Cloud; Salesforce Agentforce; Einstein AI; Azure AI Services; Comparable enterprise AI platforms
• Exposure to AI governance, privacy, security, model risk management, and responsible AI programs

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce’s sole discretion unless and until paid and may be modified in its discretion consistent with the law.

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