Senior Director, Product Management - Enterprise Data & Knowledge Platforms

About the role

At the heart of Salesforce's data and AI strategy sits the Unified Knowledge Services team — and this role leads it. As Senior Director of Product Management, you'll own the enterprise data-to-activation platform and drive delivery of Next Gen Account Hierarchy (NGAH) as a flagship transformation initiative. You'll also steward the enterprise Knowledge Graph platform, the connective tissue between entities, relationships, and signals that powers AI reasoning and GTM intelligence.

This is a high-visibility leadership role at the intersection of data, AI, Agents, and go-to-market transformation — one that directly shapes how the enterprise operates today and how Agentforce-powered experiences are built tomorrow.

Responsibilities

• Lead a Flagship Enterprise Transformation
• Own end-to-end delivery of NGAH to critical path teams by FY28
• Drive enterprise-wide adoption across Sales, Marketing, RevOps, Finance, and Product organizations, with scalable rollout and enablement models for long-tail teams
• Balance speed, accuracy, governance, and adoption in a high-complexity environment
• Drive alignment across 40+ stakeholder teams and organizational leaders
• Define and execute product strategy across Customer Master (identity, match/merge, hierarchy), Enrichment Platform (data quality, vendors, signals), Data Platform (pipelines, governance, activation), and Knowledge Graph (entity relationships, graph traversal, AI-ready data structures)
• Ensure enterprise data flows seamlessly from ingestion → activation → business impact
• Partner deeply with GTM teams to embed trusted customer data into workflows and operational systems
• Drive measurable business outcomes: improved targeting, segmentation, pipeline quality, conversion, ACV, and operational efficiency
• Lead enterprise-wide change management to accelerate adoption and reduce friction across a highly matrixed organization
• Build and Scale a High-Performing Product Organization
• Lead, grow, and coach a team with varying levels of PM maturity, developing the next generation of product leadership talent
• Instill strong product instincts, execution rigor, and an ownership mindset
• Build a culture of accountability, clarity, customer-centricity, and operational excellence
• Lead with an AI-Forward Mindset
• Embed AI into data quality, enrichment, deduplication, signals intelligence, scoring, and workflow automation
• Leverage knowledge graphs as the semantic layer powering Agentforce reasoning, entity disambiguation, and relationship-aware recommendations
• Champion the evolution from traditional systems to intelligent, agent-driven platforms
• Act as a Strategic External Partner
• Serve as Customer Zero for strategic platform partners (e.g., Informatica)
• Influence roadmap direction, validate capabilities at scale, and ensure enterprise readiness
• Evaluate emerging technologies and industry trends relevant to enterprise data and AI ecosystems

Requirements

• 12–15+ years in Product Management with a proven track record delivering large-scale enterprise transformation programs
• Strong background in customer data platforms, master data management (MDM), identity resolution, and customer hierarchy systems
• Deep familiarity with enterprise data platforms, including governance, data pipelines, data modeling, and activation
• Demonstrated ability to influence and drive alignment across large, matrixed organizations without direct authority, including at the executive level
• Ability to operate fluidly between strategic vision and execution details

Preferred Qualifications

• Experience with Informatica MDM or similar enterprise master data management platforms
• Familiarity with enterprise Knowledge Graph architectures and graph-powered systems, including semantic modeling, ontology concepts, entity relationships, and AI-powered reasoning use cases
• Experience partnering with external platform vendors in a Customer Zero or strategic design partner capacity
• Experience with AI-powered enterprise platforms, agentic workflows, intelligent automation, or semantic technologies — including Agentforce or similar AI ecosystems
• A related technical degree