Either Full or Part Time, more than 6 months
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Job Summary Our company At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI. What You'll Do In this role, you will lead the product strategy and execution for Teradata's AI platform capabilities, with a focus on helping enterprises move from AI experimentation to trusted, governed, production-scale AI. You will shape the roadmap across Teradata VantageCloud Lake, ClearScape Analytics, AI Unlimited, ModelOps, LLMOps, enterprise vector capabilities, and open ecosystem integrations that enable customers to build, deploy, monitor, and scale AI/ML, generative AI, and agentic AI use cases on trusted enterprise data. Success in this role requires a product leader who can translate rapidly evolving AI market needs into differentiated platform capabilities, customer value, and measurable business outcomes. You will define how Teradata enables customers to prepare data, train models, operationalize AI pipelines, integrate with leading LLM providers, manage model governance, and activate AI-driven insights at enterprise scale while maintaining performance, cost efficiency, openness, and trust. 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 Who You'll Work With You will lead a global product management team and work closely with engineering, architecture, data science, cloud platform, security, customer success, sales, partners, and executive leadership. This team is responsible for advancing Teradata's AI platform strategy and enabling customers to operationalize AI on trusted, governed data at enterprise scale. As the AI Platform Product... Marketing Managers
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