Technical AI Product Owner - Onsite

We are looking for a highly experienced Technical Product Owner who will support our transformation program and help to manage projects with financials, timelines , deliverables.

• The ideal candidate will oversee the validation and lifecycle of our generative and predictive models.
• Your mission is to ensure our AI systems are not just smart but are reliable enough for production, ethically sound, and performant under scale.
• What You'll Do As a Technical Product Owner, you will spearhead our AI Transformation initiatives, managing a portfolio of high-impact projects from conception to deployment.
• You will be responsible for defining & managing the delivery roadmap, managing multi-million dollar budgets, ensuring rigorous timeline adherence, and delivering AI solutions that provide measurable ROI.

AYour key responsibilities will include:

• Develop and maintain a rolling 12-month roadmap that aligns with LOB,OPS, enterprise-wide transformation goals and objectives.
• Budget Oversight: Manage a multi-million dollar budget, tracking spend across AI initiatives, use cloud infrastructure (GPU/TPU costs), third-party platform, vendors, and human capital.
• ROI Tracking: Establish and monitor KPIs to measure the business impact of AI initiatives, ensuring a clear path from deployment to bottom-line growth.
• Executive Interfacing: Provide regular updates to C-suite stakeholders on AI initiatives portfolio health, risk profiles, and value realization.
• Timeline Adherence: Maintain rigorous project schedules, identifying bottlenecks early and implementing mitigation strategies to ensure on-time delivery.
• AI Evangelism: Work with business units to ensure high adoption rates of AI tools, facilitating the cultural shift toward data-driven decision-making by enabling change management & training.
• Analytical Ability: Interpret AI initiatives, associated performance dashboards/reports to make informed product pivots FOR C-suite stakeholders.
• Evaluate internal processes and market trends to identify high-potential AI/ML use cases.
• Manage the product backlog using data-driven frameworks to balance technical debt, foundational infrastructure, and high-ROI features.
• Experience managing 7-figure budgets and performing Cost-Benefit Analysis (CBA) for technical projects.
• Model Velocity: Time taken from a validated POC to a production-deployed model Business Impact: Total cost savings or revenue uplift attributed to AI interventions