What You'll Do In this role, you will serve as a senior Products leader driving Teradata's AI product management strategy across our global portfolio. You will define and influence how Teradata integrates AI/ML technologies into our enterprise-scale data and analytics platforms.
Your impact will be shaping how customers harness Teradata Cloud and data warehouse capabilities through AI-driven insights, automation, and intelligent applications. You will set the roadmap for embedding AI into mission-critical workloads, balancing innovation with performance, governance, and compliance.
Success in this role will be measured by delivering enterprise-grade AI solutions optimized for hybrid and multi-cloud deployments, unlocking measurable customer value while ensuring scalability, reliability, and cost-efficiency of AI workloads.
Who you will work with On our team, we collaborate with engineering, cloud infrastructure, data science, UX, and governance functions to bring next-generation AI capabilities into Teradata's enterprise ecosystem. We are responsible for the product vision, roadmap, and execution of AI initiatives, ensuring they meet both business and technical objectives.
This role reports to the SVP of Product Management and will partner closely with product engineering and platform leaders worldwide. You will act as the strategic AI product leader for Teradata, influencing global product direction.
What makes you a qualified candidate - Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field (PhD preferred).
- 10+ years of product management experience, including 5+ years leading AI/ML or advanced analytics products.
- Deep technical expertise in AI/ML concepts, including LLMs, foundation models, supervised/unsupervised learning, fine-tuning, inference pipelines, and multi-modal AI.
- Proven success embedding AI into enterprise-scale platforms, especially in data management, analytics, or cloud environments.
- Strong technical fluency with AI infrastructure - including distributed training, inference optimization, GPU/accelerator integration, and workload orchestration.
- Experience defining APIs, SDKs, and developer integrations for enterprise AI adoption.
- Demonstrated knowledge of hybrid and multi-cloud architectures and their impact on AI performance, scalability, and cost optimization.
- Familiarity with governance and compliance frameworks (HIPAA, GDPR, SOC2) and applying them to AI/ML solutions.
- Exceptional communication skills with the ability to influence C-level stakeholders and articulate AI product strategy.
- Track record of customer engagement, market analysis, and competitive benchmarking in enterprise software.
What you will bring - Expertise in optimizing AI workloads across cloud and hybrid environments, ensuring cost-efficiency and performance at scale.
- Hands-on knowledge of GPU, TPU, and emerging accelerator technologies for training, inference, and fine-tuning AI models.
- Ability to bridge AI model development with structured and unstructured enterprise data at petabyte scale.
- A strong understanding of responsible AI, including fairness, explainability, auditability, and bias detection.
- Vision to anticipate industry trends and position Teradata's AI offerings as differentiated and enterprise-ready.
- Passion for enabling intuitive, AI-powered user experiences (e.g., natural language query, automated insights, intelligent automation).
- Ability to operate as a senior leader - setting strategy, guiding technical direction, and influencing globally.
#LI-CP2
