Technical Product Owner - AI at St Louis, MO (Hybrid)

Job Title: Technical Product Owner - AI
Location: St Louis, MO (Hybrid)
Duration: 12+ Months Contract

Note: PP Number is Must
No OPT/CPT/H1B T/ EAD
Must be Local

Skills
Mandatory Skills : Project Planning, Project Financial Management, Project Governance

Role Technical Product Owner
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 multimillion dollar budgets ensuring rigorous timeline adherence and delivering AI solutions that provide measurable ROI

Your key responsibilities will include
Develop and maintain a rolling 12month roadmap that aligns with LOBOPS enterprise wide transformation goals and objectives
Budget Oversight Manage a multimillion dollar budget tracking spend across AI initiatives use cloud infrastructure GPUTPU 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 AIML use cases
Manage the product backlog using data driven frameworks to balance technical debt foundational infrastructure and high ROI features
Experience managing 7figure 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