Global AI Platform Leader — Strategy & Scale

Teradata Corporation (SE)

Springfield (IL)

Hybrid

USD 263.000 - 395.000

Vollzeit

14 Tage+
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Benefits dieser Stelle

Flexible work model
Comprehensive benefits

Zusammenfassung

Teradata seeks an AI Platform Product Management Leader to define and drive the strategy for Teradata’s AI platform portfolio, including VantageCloud Lake and AI/ML lifecycle management. You will lead a global team, collaborating with engineering, data science, cloud, and security to deliver scalable, trusted AI capabilities.

You will shape roadmaps, identify enterprise use cases, and ensure measurable business impact while maintaining performance, cost efficiency, openness, and trust across the

Qualifikationen

  • 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 lifecycle management, ModelOps, LLMOps, generative AI, agentic AI, vector search, 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.

Aufgaben

  • 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 platform, 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.
  • 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.

Kenntnisse

Executive leadership
Product strategy
AI platform
Stakeholder management
Cross-functional collaboration
Go-to-market

Ausbildung

Advanced degree in Computer Science, Data Science, Engineering, Business Analytics

Tools

Python
Jupyter
APIs

Jobbeschreibung

Teradata seeks an AI Platform Product Management Leader to define and drive the strategy for Teradata’s AI platform portfolio, including VantageCloud Lake and AI/ML lifecycle management. You will lead a global team, collaborating with engineering, data science, cloud, and security to deliver scalable, trusted AI capabilities.

You will shape roadmaps, identify enterprise use cases, and ensure measurable business impact while maintaining performance, cost efficiency, openness, and trust across the

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