Role: Technical Product Owner – Need Locals
Location: St. Louis, MO (Fully onsite)
Duration: 12+ Months
Description:
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.
Responsibilities:
• 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