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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Owner, AI & Data Strategy - **Company:** Kforce Inc. - **Location:** Phoenix, AZ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Data Governance, Identity and Access Management, Machine Learning, Meta-Data Management, Microsoft Software, Software Product Management, Azure Machine Learning, Salesforce.Com, Enterprise Data Management, Privacy Controls, Large Language Models, Snowflake, Prompt Engineering, Model Validation, Generative AI, Agentic-AI, Data Strategy, AI Platforms, Data Lineage, Data Management, Machine Learning Operations - **Published:** September 30, 2026 - **Apply:** https://www.dice.com/job-detail/153bcbdf-0ca9-48b8-9b34-d96ee50796f7 ## About the Role * 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 ## Description 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., 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., * 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 ## Related Videos - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI PowerPlay: Building High-Impact Teams & Transformative Solutions](https://www.wearedevelopers.com/videos/1005-ai-powerplay-building-high-impact-teams-transformative-solutions) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Building Products in the era of GenAI](https://www.wearedevelopers.com/videos/827-building-products-in-the-era-of-genai) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? 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