Sr. Director, Product Management: Hardware AI & Data Platforms & Partnerships - US

Teradata is a leading company in cloud analytics and data platforms for AI. In this role, you will lead product strategy and partnership execution with Dell, focusing on on-premises and hybrid hardware-based AI and data warehouse platforms.

Responsibilities:

• Lead the product strategy, partnership execution, and joint solution development between Teradata and Dell, focusing on on-premises and hybrid hardware-based AI and enterprise data warehouse platforms
• Ensure that Teradata’s data and AI platform delivers best-in-class performance, scalability, reliability, and cost efficiency on Dell infrastructure
• Own the product vision for how Teradata’s on-prem and hybrid data warehouse and AI platforms integrate, co-innovate, and co-deliver with Dell’s hardware
• Define and drive a coordinated roadmap that aligns Teradata’s on-prem and hybrid data warehouse, analytics, and AI capabilities with Dell’s infrastructure portfolio
• Shape how Teradata scales across Dell’s global enterprise customer base by delivering validated, hardware-aware solutions
• Deliver a joint on-prem and hybrid product strategy that aligns Teradata’s AI and enterprise data warehouse platforms with Dell’s compute, storage, and networking
• Define hardware-optimized reference architectures for Teradata on Dell, including CPU- and GPU-accelerated configurations for analytics and AI workloads
• Drive validated designs and turnkey deployment models for on-prem and hybrid customers, covering sizing, performance tuning, resiliency, and lifecycle management
• Ensure Teradata’s data warehouse and AI platforms leverage Dell’s high-performance storage, GPU systems, and scalable compute to meet enterprise SLAs
• Enable Teradata on Dell APEX, private cloud, and customer-managed infrastructure, with consistent deployment, upgrade, and operations experiences
• Partner with Dell engineering and solution teams to ensure predictable performance, security, compliance, and cost efficiency across environments
• Support Teradata and Dell field teams with solution positioning, demos, customer architectures, and technical narratives
• Apply foundational AI expertise to identify where hardware-accelerated AI, model inference, and analytics-AI convergence can improve customer outcomes

Requirements:

• 12+ years of product management experience in enterprise technology, on-prem infrastructure platforms, data warehousing, analytics, or AI systems
• Proven success leading hardware-aware platform products, hybrid cloud solutions, or large-scale on-prem enterprise platforms
• Deep understanding of enterprise data warehouse architectures, including performance optimization, workload management, concurrency, and scalability on physical infrastructure
• Strong knowledge of Dell infrastructure, including PowerEdge servers, storage platforms (PowerScale, PowerStore, PowerFlex), GPU systems, APEX services, and Dell AI Factory
• Experience delivering joint OEM solutions, validated designs, or co-engineered hardware/software offerings
• Ability to translate hardware constraints and opportunities (CPU/GPU, memory, storage tiers, networking) into clear product requirements and roadmaps
• Demonstrated ability to influence cross-functional teams across engineering, alliances, sales, and partner organizations
• Foundational AI knowledge, including how GPU acceleration, inference workloads, and hybrid AI architectures impact platform design
• Strong executive-level communication skills with the ability to articulate value to customers, partners, and internal stakeholders
• Prior experience working directly with Dell or similar OEM partners in product, engineering, alliances, or solutions roles
• Strong technical background in on-prem or hybrid data platforms, distributed systems, and performance-sensitive workloads
• Experience building enterprise data warehouse platforms on physical or hybrid infrastructure
• Hands-on exposure to GPU-accelerated systems, AI inference pipelines, and analytics-plus-AI workloads
• Experience defining reference architectures, sizing models, and lifecycle management frameworks for on-prem solutions
• Deep understanding of enterprise customer requirements around availability, security, compliance, upgradeability, and cost control
• Passion for delivering AI-ready data warehouse platforms that meet customers where their data lives