<p>AI Product Owner - Consulting Analyst</p> <p>Location: Washington DC</p> <p>About Cognizant Consulting</p> <p>Cognizant Consulting is more than Cognizant's consulting practice-we're a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we're looking for our next colleague who'll join us in shaping the future of business. Could it be you?</p> <p>About the role</p> <p>An AI Product Owner bridges the gap between business strategy and AI development, acting as the primary owner of the product backlog for AI-driven solutions. Unlike a traditional Product Owner, this role requires specialized knowledge of machine learning, data quality, and model performance to ensure AI applications are accurate, ethical, and valuable.</p> <p>In this role you will</p> <ul> <li>Product Strategy & Roadmap: Define the vision and roadmap for AI features (e.g., recommendation engines, chatbots) that align with business goals. </li><li>Backlog Management: Define, prioritize, and maintain the AI product backlog, creating actionable user stories and acceptance criteria based on experimental data. </li><li>Cross-Functional Collaboration: Serve as the central hub between stakeholders, data scientists, machine learning engineers, and designers, facilitating technical understanding and business feasibility. </li><li>Model Performance & Evaluation: Monitor AI model performance post-launch, tracking KPIs such as accuracy, false-positive rates, automation rates, and cost-per-transaction. </li><li>Data & Ethical Governance: Ensure data quality and address ethical concerns, such as bias mitigation, data privacy, and compliance with regulations like GDPR or the EU AI Act. </li><li>Agile Delivery: Participate in all Scrum ceremonies (stand-ups, sprint planning, reviews, and retrospectives) to guide the delivery team. </li></ul> <p>Required Skills & Qualifications</p> <ul> <li>Experience: 3-5+ years in a Product Owner, Business Analyst, or similar role, with direct experience in AI, Machine Learning, or data science projects. </li><li>AI Acumen: Understanding of LLMs, Generative AI, RAG (Retrieval-Augmented Generation), and MLOps to make informed technical trade-offs. </li><li>Technical Familiarity: Proficiency in data tools (SQL, Python) to analyze data and communicate efficiently with engineers. </li><li>Communication: Ability to translate complex technical concepts into actionable business requirements and vice-versa </li></ul> <p>Work Model</p> <p>We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a position requires 3-4 days a week in a client office (Washington DC). Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.</p> <p>The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.</p> <p>Compensation</p> <ul> <li> <p>$86,500-$101,500</p> </li><li> <p>This position is eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans</p> </li></ul> <p>Benefits</p> <p>Medical, dental, vision and life insurance</p> <ul> <li> <p>401(k) plan and contributions</p> </li><li> <p>Employee stock purchase plan</p> </li><li> <p>Employee assistance program</p> </li><li> <p>10 paid holidays plus PTO</p> </li><li> <p>Paid parental leave and fertility assistance</p> </li><li> <p>Learning and development certifications and programs</p> </li></ul> <p>Post closing date</p> <p>Applications will be accepted until 04/31/2026</p>