AI Product Owner

We are hiring a senior, technically strong Product Owner to lead a portfolio of AI, Data/AI and digital products, taking each from business problem to delivered product and measurable adoption. You will sit between business partners, UX, Forward Deployed Engineers (FDEs) and engineering/development teams, turning broad opportunities and ambiguous problems into well defined, executable products. You will own the roadmap and the day to day execution: the Jira board, the backlog, user stories, acceptance criteria and priorities. This is a hands on, AI first role. You do not need to be a data scientist or ML engineer. You do need to understand how quickly the AI landscape is changing, use modern AI tools daily, and apply new capabilities to your own work and your team's. This position is located in our Plano, Texas office with work performed at client site in Plano, Texas; however, a hybrid working model is acceptable. You will be required to be at client site 3 5 days/week. What You'll Do Product strategy and discovery

. Take opportunities from problem definition to requirements, roadmap, backlog, delivery, measurement and adoption. . Start with the business problem, the user experience and the measurable outcome, not just managing JIRA tickets. . Define product vision, roadmaps and success metrics for a portfolio of AI, Data/AI and digital products, aligned to business priorities. . Ask sharp questions, challenge assumptions and quickly learn unfamiliar business and technical domains.

Backlog and delivery ownership

. Own the product backlog and the Jira board: epics, user stories, acceptance criteria, priorities and dependencies. . Lead backlog refinement, sprint planning, prioritization and release readiness with engineering and FDE teams. . Make trade off decisions on scope, sequencing and timing, and keep stakeholders informed of progress and risk. . Make sure every story is clear enough to build and test, and that delivered work meets its acceptance criteria.

Cross functional partnership

. Act as the connection point between business leaders, end users, UX designers, FDEs, architects and engineers. . Discuss APIs, data, AI/ML, integrations and platform choices credibly with architects and engineers. . Work with UX to shape workflows and experiences, and use rapid prototypes to test concepts before committing build effort. . Present clearly to executives and business partners, and go deep with technical teams.

Measurement and adoption

. Define outcome measures up front and track them after release. . Gather and analyze user and business feedback, and feed it back into the roadmap. . Drive adoption, not only delivery, by working with business owners and users on rollout, enablement and change.

AI first ways of working

. Use LLMs, copilots and productivity tools (Microsoft Copilot, ChatGPT, Claude, Gemini or equivalent) every day to research topics, synthesize large volumes of content, draft and refine requirements and user stories, challenge product ideas, summarize feedback and prototype workflows. . Improve presentations, documentation and communication with AI assistance. . Track new AI capabilities as they emerge, test them and bring practical uses to the team.

What You'll Bring

. 5+ years of product ownership or product management experience, including delivering technology or data products in an enterprise setting. . A track record of turning ambiguous business problems into roadmaps, epics, user stories and acceptance criteria, and of shipping against them. . Hands on command of Agile delivery and Jira: owning a backlog and board, running refinement and sprint planning, managing dependencies and release readiness. . Technical fluency to hold productive conversations with architects and engineers about APIs, data, AI/ML, integrations and platforms. You do not need to be an engineer. . Practical, everyday use of modern AI tools such as Microsoft Copilot, ChatGPT, Claude or Gemini, with concrete examples of how they changed the way you work. . Curiosity and the ability to learn new tools, technologies and concepts quickly as the AI landscape changes. . Experience defining success metrics and using them to judge whether a product is delivering its intended outcome. . Strong written and verbal communication, from executive and business audiences to UX and engineering teams. . Experience working with UX, and with engineering or forward deployed teams, in a cross functional product setting.

Nice to Have

. Prior experience on AI, machine learning, analytics or data platform products. . Experience with forward deployed or customer embedded delivery models. . Agile or product certifications (for example CSPO, SAFe POPM or PSPO). . Experience building quick prototypes or proofs of concept, including with AI assisted tools. . Familiarity with responsible AI, data governance and security considerations in enterprise settings. . Bachelor's degree in business, computer science, engineering or a related field, or equivalent experience.

Who Thrives in This Role

. Product thinker: starts with the business problem, the user experience and the measurable outcome. . Smart and curious: understands unfamiliar problems quickly, asks the right questions and challenges assumptions. . Technically comfortable: credible with architects and engineers without needing to be one. . Strong executor: brings structure to ambiguity through roadmaps, priorities, epics, stories and measurable outcomes. . Hands on AI user: experiments with new LLMs and tools and finds practical ways to use them in daily work. . Continuous learner: keeps pace with the evolving AI landscape and is comfortable with new tools and concepts. . Strong communicator: moves easily between business leaders, users, UX designers, product teams and engineers.

This role is not a Scrum or Jira administrator position, and it does not call for someone whose AI knowledge is mainly theoretical. We are looking for a hands on, AI savvy product leader who learns quickly, embraces new technology and carries ideas from business problem through to delivered product and measurable adoption.

Other Information:

CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $101,000.00 $176,700.00. CGI's benefits are offered to eligible professionals on their first day of employment to include: . Competitive compensation . Comprehensive insurance options . Matching contributions through the 401(k) plan and the share purchase plan . Paid time off for vacation, holidays, and sick time . Paid parental leave .Learning opportunities and tuition assistance . Wellness and Well being programs