Technical Product Owner

Job Title: Technical Product Owner

Location: Saint Louis, MO (Hybrid Local Candidates Only)
Duration: Long Term

Role Overview

We are seeking a highly experienced Technical Product Owner to support a large-scale AI Transformation Program. This role is critical in managing high-impact AI initiatives, overseeing financials, timelines, and deliverables, and ensuring the successful lifecycle management of generative and predictive AI models.

The ideal candidate will ensure AI systems are production-ready, scalable, ethical, and performant, while delivering measurable business value and ROI.

Key Responsibilities AI Transformation & Product Leadership

• Lead and manage a portfolio of AI/ML initiatives from ideation through production deployment.

• Own the end-to-end product lifecycle of generative and predictive AI models.

• Define, maintain, and execute a rolling 12-month product roadmap aligned with LOB, Operations, and enterprise-wide transformation goals.

Financial & Budget Management

• Manage multi-million-dollar budgets across AI initiatives.

• Track and optimize spending across:

  • Cloud infrastructure (GPU/TPU usage)

  • Third-party AI platforms and tools

  • Vendors and consulting partners

  • Internal engineering and data science resources

• Perform Cost-Benefit Analysis (CBA) for AI and technical initiatives.

ROI & Performance Tracking

• Define and monitor KPIs to measure AI business impact.

• Track ROI from deployment through measurable cost savings and revenue uplift.

• Monitor model velocity (time from validated POC to production deployment).

Executive & Stakeholder Engagement

• Serve as the primary interface with C-suite and senior leadership.

• Provide regular executive-level updates on:

  • Portfolio health

  • Risk profiles

  • Timeline adherence

  • Value realization and ROI

• Translate complex AI concepts into clear business insights for executive audiences.

Delivery & Timeline Management

• Maintain rigorous project schedules and delivery milestones.

• Identify risks and bottlenecks early and implement mitigation strategies.

• Ensure on-time and high-quality delivery of AI products.

Backlog & Product Strategy

• Manage and prioritize the product backlog using data-driven frameworks.

• Balance:

  • Technical debt

  • Foundational AI/ML infrastructure

  • High-ROI features and enhancements

• Evaluate internal processes and market trends to identify high-potential AI/ML use cases.

AI Adoption & Change Management

• Act as an AI Evangelist across business units.

• Drive adoption of AI tools through training, enablement, and change management.

• Support cultural transformation toward data-driven decision-making.

Analytics & Reporting

• Interpret AI performance dashboards and analytical reports.

• Recommend product pivots and strategic decisions based on insights.

• Present findings clearly to both technical and non-technical stakeholders.

Required Qualifications

• Proven experience as a Technical Product Owner or Product Manager in AI/ML-driven environments.

• Strong understanding of Generative AI, Predictive Models, and ML lifecycle management.

• Experience managing 7-figure budgets for technical or AI initiatives.

• Strong knowledge of cloud platforms and AI infrastructure costs (GPU/TPU).

• Excellent stakeholder management and executive communication skills.

• Strong analytical, financial, and decision-making abilities.

Key Success Metrics

• Model Velocity: Reduced time from POC validation to production deployment.

• Business Impact: Measurable cost savings or revenue uplift driven by AI initiatives.

• ROI Realization: Clear linkage between AI deployment and financial outcomes.

• Adoption Rates: Successful enterprise-wide adoption of AI solutions.