Director Product Management- Kroger Precision Marketing AI Platforms (P4107)
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Job Description
KPM is launching a new AI Platforms domain to accelerate safe, scalable, and value-creating AI across our commercial business. As Product Director, AI Platforms, you will own the product vision and strategy for internal and external AI platform capabilities-spanning AI standards adoption, partner ecosystem, reusable/scalable pipelines, and advanced data science enablement-and lead a team of Product Managers to execute. You will partner closely with enterprise AI teams to align on tooling and governance, then apply those standards to commercial use cases across Insights, Incentives, and Media.
Key Responsibilities
- Define and execute AI platform strategy for KPM, including shared services (e.g., prompt/RAG services, feature/embedding stores, evaluation frameworks) and reusable pipelines.
- Partner with enterprise AI teams to adopt standards for governance, compliance, and responsible AI while enabling speed and innovation.
- Lead and develop a team of Product Managers, fostering strong product discovery, prioritization, and delivery practices.
- Manage vendor and partner relationships on behalf of KPM for AI tooling, MLOps, and cloud platforms; drive build-vs-buy decisions.
- Establish and track KPIs for platform adoption, reliability, governance compliance, and cost efficiency.
- Engage stakeholders across KPM leadership to align priorities and communicate ROI.
Minimum Qualifications
- 10+ years in product management, with 5+ years leading platform or AI/ML products at enterprise scale.
- Proven experience managing Product Managers and driving cross-functional delivery.
- Strong understanding of AI/ML lifecycle: data prep, model development, deployment, monitoring, and governance.
- Familiarity with LLMs/GenAI (prompting, RAG, agentic patterns), feature stores, and evaluation frameworks.
- Expertise in product discovery, roadmap development, and outcome-based prioritization.
Preferred Qualifications
- Experience with Azure, Databricks, Kubernetes, and modern MLOps tooling.
- Background in retail analytics, retail media, adtech, or data-driven marketing platforms.
- Strong vendor management and strategic partnership skills.
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