Global AI Product Management Leader
Skills
Computer ScienceAdoptionCompetitive DifferentiationCustomer SuccessData AnalyticsDatabasesGlobal Product Management
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Proven experience leading product strategy for enterprise AI analytics data platforms cloud platforms or AI/ML infrastructure
- Demonstrated success defining and scaling platform products that drive customer adoption revenue growth and measurable business outcomes
- Strong understanding of AI/ML lifecycle management ModelOps LLMOps generative AI agentic AI vector search retrieval-augmented generation and enterprise AI governance
- Experience with cloud data platforms data lakes open table formats Python-based analytics workflows Jupyter notebooks APIs and integrations with open-source or cloud-native AI services
- Ability to translate complex technical capabilities into clear product strategy customer value go-to-market positioning and executive-level decision frameworks
- Advanced degree in a relevant field such as Computer Science Data Science Engineering Business Analytics or equivalent practical experience
Nice to have
- Executive communication
- Strategic mindset
- Customer-first orientation
- Cross-functional influence
- Outcome-focused
- Market awareness
Day to day
- Lead Teradata’s AI platform product strategy and execution across enterprise AI, analytics, and data platform capabilities.
- Define and evolve a roadmap that helps customers move from AI experimentation to governed production-scale deployment using trusted enterprise data.
- Partner with engineering, architecture, data science, cloud, security, and go-to-market teams to deliver scalable product outcomes and strong adoption.