Technical AI Product Owner - Onsite Job at SPAR Information Systems LLC, Saint Louis, MO

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  • SPAR Information Systems LLC
  • Saint Louis, MO

Job 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.

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

Job Tags

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