Global AI Product Management Leader

Teradata is a company that empowers organizations with better information through its Autonomous Knowledge Platform. The AI Platform Product Management Leader will lead the product strategy and execution for Teradata’s AI platform capabilities, focusing on enabling enterprises to transition from AI experimentation to trusted, governed, production-scale AI.

Responsibilities:

• Own and champion the product vision, strategy, and roadmap for Teradata’s AI platform portfolio, including VantageCloud Lake, ClearScape Analytics, AI Unlimited, ModelOps, LLMOps, enterprise vector capabilities, and AI/ML lifecycle management
• Define platform capabilities that enable customers to build, test, deploy, monitor, and govern AI/ML, generative AI, and agentic AI solutions using trusted enterprise data
• Partner with engineering, architecture, data science, cloud, security, and go-to-market teams to translate AI strategy into scalable product execution
• Lead and develop a global team of product managers responsible for roadmap definition, prioritization, customer discovery, launch readiness, and product adoption
• Engage with customers, field teams, partners, and executive stakeholders to identify AI platform use cases, adoption barriers, market opportunities, and competitive differentiation
• Drive product decisions around open ecosystem interoperability, including Python, Jupyter, open table formats, cloud data lakes, external model providers, open-source models, and leading cloud LLM services
• Shape capabilities that support in-database analytics, feature engineering, model training, model deployment, real-time scoring, vector search, retrieval-augmented generation, and governed AI operations
• Establish clear success metrics for adoption, usage, time to value, revenue impact, customer outcomes, platform performance, and AI workload efficiency
• Create compelling product narratives that connect Teradata’s AI platform capabilities to business value, trusted AI, operational scale, and differentiated enterprise outcomes
• Influence organization-wide priorities that accelerate adoption of Teradata’s AI platform and strengthen Teradata’s market position in enterprise AI, analytics, and data platforms

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
• Executive-level communication skills with the ability to align technical teams, business leaders, customers, and field organizations around a clear AI platform strategy
• Deep awareness of enterprise AI market trends, including trusted AI, governed AI operations, generative AI, agentic AI, AI-ready data, cloud economics, and open ecosystem interoperability
• Strong product judgment across data preparation, feature engineering, in-database analytics, model training, model deployment, model monitoring, vector capabilities, and production AI operations
• A strategic, outcome-based mindset focused on customer adoption, differentiated value, platform scalability, cost efficiency, and measurable business impact
• Experience building repeatable product operating rhythms, including roadmap governance, prioritization frameworks, launch readiness, adoption tracking, and escalation paths
• Ability to lead through influence across global teams and create strong partnerships with engineering, field, marketing, customer success, partners, and executive stakeholders
• Customer-first orientation with the ability to turn market signals, competitive insights, and enterprise AI adoption patterns into actionable product direction