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
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Lead and manage a portfolio of AI/ML initiatives from ideation through production deployment.
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Own the end-to-end product lifecycle of generative and predictive AI models.
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Define, maintain, and execute a rolling 12-month product roadmap aligned with LOB, Operations, and enterprise-wide transformation goals.
Financial & Budget Management
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Manage multi-million-dollar budgets across AI initiatives.
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Track and optimize spending across:
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Cloud infrastructure (GPU/TPU usage)
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Third-party AI platforms and tools
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Vendors and consulting partners
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Internal engineering and data science resources
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Perform Cost-Benefit Analysis (CBA) for AI and technical initiatives.
ROI & Performance Tracking
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Define and monitor KPIs to measure AI business impact.
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Track ROI from deployment through measurable cost savings and revenue uplift.
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Monitor model velocity (time from validated POC to production deployment).
Executive & Stakeholder Engagement
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Serve as the primary interface with C-suite and senior leadership.
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Provide regular executive-level updates on:
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Translate complex AI concepts into clear business insights for executive audiences.
Delivery & Timeline Management
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Maintain rigorous project schedules and delivery milestones.
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Identify risks and bottlenecks early and implement mitigation strategies.
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Ensure on-time and high-quality delivery of AI products.
Backlog & Product Strategy
AI Adoption & Change Management
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Act as an AI Evangelist across business units.
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Drive adoption of AI tools through training, enablement, and change management.
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Support cultural transformation toward data-driven decision-making.
Analytics & Reporting
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Interpret AI performance dashboards and analytical reports.
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Recommend product pivots and strategic decisions based on insights.
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Present findings clearly to both technical and non-technical stakeholders.
Required Qualifications
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Proven experience as a Technical Product Owner or Product Manager in AI/ML-driven environments.
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Strong understanding of Generative AI, Predictive Models, and ML lifecycle management.
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Experience managing 7-figure budgets for technical or AI initiatives.
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Strong knowledge of cloud platforms and AI infrastructure costs (GPU/TPU).
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Excellent stakeholder management and executive communication skills.
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Strong analytical, financial, and decision-making abilities.
Key Success Metrics
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Model Velocity: Reduced time from POC validation to production deployment.
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Business Impact: Measurable cost savings or revenue uplift driven by AI initiatives.
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ROI Realization: Clear linkage between AI deployment and financial outcomes.
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Adoption Rates: Successful enterprise-wide adoption of AI solutions.