AI Product Owner Enterprise AI practice Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You'll be part of an entrepreneurial, high-growth environment of over 320,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready? The Role We are looking for client-facing AI Product Owners to join our growing Enterprise AI practice. As an AI Product Owner you will sit at the intersection of business strategy, user needs, data and emerging AI capabilities — defining where AI should be applied, why it matters and how the value is realised for our clients. You will shape AI use cases, frame the business cases that justify investment, prioritise roadmaps, and be a trusted voice on Responsible AI throughout the product lifecycle. You will work in cross-functional teams alongside data scientists, ML and GenAI engineers, designers, and our clients’ business owners — typically embedded inside client delivery teams connecting business intent and AI engineering. This role is offered across a broad seniority band, from AI Product Owners with around 2–3 years of product ownership experience and early AI exposure, through to Lead AI Product Owners with 10+ years of product experience leading complex multi-product portfolios. Key Responsibilities Shape AI use cases — identify where machine learning, generative AI and agentic AI can solve real business problems, and equally where they cannot Frame business cases and value hypotheses for AI products, including success metrics for probabilistic systems and the realistic costs, risks and dependencies Own and prioritise the AI product backlog, translating ambiguous opportunities into well-scoped, testable increments that data science and engineering teams can deliver Define product vision and roadmaps for AI-enabled products, balancing experimentation with production-grade delivery Translate business problems into AI problems — specify data requirements, evaluation criteria, acceptance criteria and guardrails for ML and GenAI features Advise on Responsible AI in everyday product decisions — fairness, transparency, accountability, human oversight and proportionate risk management Guide AI products across the full lifecycle: ideation, data readiness, prototyping, evaluation, deployment, monitoring and continuous improvement Engage business stakeholders, subject matter experts and end users to validate problems, test prototypes and drive adoption Collaborate with distributed delivery teams, including offshore, to ensure quality and pace Contribute to Infosys Consulting’s thought leadership, accelerators and reusable assets for AI Product Management Requirements Skills and Qualifications: Essential Skills: 2+ years of hands-on Product Ownership experience (rising to 10+ at the more senior levels) 1+ years applying product ownership specifically to AI, ML or data products Strong understanding of how AI, ML, GenAI and agentic AI differ from traditional software — particularly around probabilistic behaviour, data dependency, evaluation and monitoring Demonstrable ability to translate business problems into well-framed AI problems, and back into measurable business outcomes Experience working in Agile / Scrum delivery, owning a backlog and partnering with technical teams Strong stakeholder management — comfortable engaging with both technical contributors and business leaders Depth in at least one industry or one functional domain, with the curiosity and adaptability to operate credibly in new contexts Working knowledge of Responsible AI principles — fairness, transparency, accountability, human oversight Familiarity with current thinking in AI Product Management Excellent written and verbal communication in English Bachelor’s degree; quantitative or technical disciplines are an advantage Willingness to travel — up to around 60% depending on project (UK and international) Preferred Skills: A second major European language is an advantage Functional depth in customer service, marketing, HR, procurement, finance, sales or IT operations Awareness of specific Responsible AI frameworks — for example the EU AI Act, NIST AI RMF, or ISO/IEC 42001 Hands-on familiarity with model evaluation, prompt evaluation, RAG architectures, MLOps concepts and observability for AI systems (essential at Senior and Lead levels) Knowledge of partner platforms — agentic workflow tooling, hyperscaler AI platforms (AWS, Azure, Google Cloud), modern data platforms Consulting or comparable client-facing delivery experience At more senior levels: experience leading distributed and offshore teams, shaping deal pursuits and developing junior talent AI Product Academy certification Certified Scrum Product Owner (CSPO) or SAFe Product Owner / Product Manager (POPM) Hyperscaler AI/ML certifications — AWS, Microsoft Azure or Google Cloud Responsible AI / AI governance credentials (e.g. IAPP AIGP) Personal attributes: Analytical, pragmatic problem-solver; outcome-oriented Self-directed, able to prioritise and juggle multiple workstreams Clear communicator who can simplify complexity for technical and non-technical audiences alike Comfortable with the ambiguity and iteration that come with AI product development Collaborative, curious, continuous learner A quietly confident voice on Responsible AI — willing to challenge as well as enable Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for individuals who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now. Benefits About Enterprise AI Our Enterprise AI practice supports the l