Senior Product Owner

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