AI Product Strategy Leader — Senior Director

Teradata

Boston (MA)

Hybrid

USD 180,000 - 260,000

Full time

14 days+

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Job summary

Teradata seeks a senior AI Product Leader to define and execute the AI product strategy across our global portfolio. You will shape how Teradata integrates AI/ML into enterprise-scale data platforms, steer roadmaps, and balance innovation with governance, performance, and cost.

You will collaborate with engineering, data science, UX, and governance teams to drive AI initiatives globally. You will lead with a focus on hybrid and multi-cloud deployments, ensuring scalable, reliable, and

Qualifications

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 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 & 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.

Responsibilities

Define and influence AI product management strategy across Teradata’s global portfolio.
Set the roadmap for embedding AI into enterprise-scale workloads with governance and cost considerations.
Collaborate with engineering, cloud, data science, UX, and governance to deliver AI capabilities.
Report to SVP of Product Management and partner with product engineering and platform leaders worldwide.
Lead strategic AI product direction and ensure enterprise readiness and scalable performance.