AI Product Management Director

Overview

We are seeking a hands-on Product Director, AI/ML to lead strategy and execution for high-impact AI/ML capabilities across the company. This role serves as the shared-services AI/ML product lead, enabling commercial and internal product features with scalable, reusable, and compliant AI/ML capabilities. The role begins as an Individual Contributor Director reporting directly to the VP, Product Management for the Lumina Data Platform, with the opportunity to grow into a people-leadership role as our AI/ML requirements expand.

Additionally, this role has end-to-end product ownership for LLM capabilities within the Data & Analytics business unit—driving autonomous workflows, multi-step reasoning agents, orchestrated task flows, and high-value data-intensive AI capabilities. This is a high-visibility role ideal for a product leader who combines strong technical fluency, cross-functional leadership, and drives execution across Product, Data Science and Engineering.

• Lead shared-services AI/ML product capabilities used across multiple product lines.
• Partner with platform, data science, engineering, and BU product leadership to align on AI/ML vision, drive roadmap, execution and capacity management.
• Oversee roadmap and delivery for Agentic AI within the Data & Analytics business unit.
• Influence long-term organizational design and may take on people leadership as the function scales.
• Balance commercial and internal product priorities, maintaining an investment strategy aligned to enterprise and BU strategic goals.
• Own product strategy and delivery for AI governance and ML Ops, establishing robust frameworks for model lifecycle management, compliance, and operational excellence.

• AI/ML Product Strategy & Vision
• Own the AI/ML capability roadmap and vision aligned to portfolio strategy.
• Define multi-quarter investment themes that balance internal acceleration with commercial product differentiation.
• Identify opportunities where LLMs can accelerate classical ML cycles, including automated evaluation, data summarization, hypothesis generation, and model quality refinement.
• Shared-Services AI/ML Ownership
• Serve as the central product lead for shared AI/ML components, including vector stores, RAG pipelines, evaluation harnesses, LLM safety tooling, feature stores, and model governance frameworks.
• Drive adoption across multiple product lines, ensuring consistency, compliance, and time-to-value acceleration.
• Reduce duplication and enable data science to build AI/ML capabilities faster and more safely.
• LLM Ownership (Data & Analytics BU)
• Own the full product strategy and delivery of LLM capabilities within the D&A business unit.
• Define value propositions for autonomous AI agents, multi-step reasoning systems, and orchestration frameworks tied to D&A customer outcomes.
• Work closely with Product and AI Engineering leadership to take LLM features from concept to production with rigorous evaluation, reliability, and governance.
• LLM – Accelerated ML Development

• Synthetic data generation
• Automated documentation, explanations, and evaluation
• Feature exploration and error analysis
• Prompt engineering and safety reviews
• Governance, Safety & Compliance
• Embed safe-by-design principles into shared-services and D&A AI/ML capabilities.
• Partner with Governance, Legal, and Info Sec to ensure model transparency, auditability, and responsible-AI compliance.
• Establish best practices for prompt safety, hallucination mitigation, lineage, and monitoring of LLM capabilities.

• Operate initially as an individual contributor Director with strong influence, cross-functional leadership, and executive-level communication.
• As AI/ML investments scale, help define team structure and may assume direct people leadership responsibilities.
• Mentor PMs and partner with Data Science and AI Engineering leaders to elevate AI product delivery maturity.

• 9–12+ years in Product Management, Data Science, or ML-adjacent fields for data-heavy B2B SaaS environments
• 3+ years hands-on with LLMs/Generative AI…