Senior Director, Technology Program Management

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

We are seeking an exceptional Senior Director of Technology Program Management to serve as the execution backbone for the Chief Data Officer’s organization. This leader will own portfolio governance and execution across our most strategic Data/AI ML Platforms, Analytics, AI, Integration, Automation, Governance, and platform transformation initiatives. The role requires a rare combination of deep technical fluency, exceptional program rigor, executive presence, and the courage to drive accountability across organizational boundaries.

This is not a traditional PMO role. We are looking for a technology leader who can operate at executive altitude while going deep enough to understand architecture, data flows, technical dependencies, product constraints, operational readiness, and delivery risk. This person will create clarity where there is ambiguity, surface issues early, drive decisions, and ensure that commitments translate into measurable outcomes.

Own the end-to-end portfolio operating model for the Chief Data & Intelligence Office, connecting strategy, investments, roadmaps, milestones, dependencies, capacity, risks, and measurable business outcomes. Establish a single, trusted view of portfolio health: what is on track, what is at risk, why it is at risk, who owns recovery, and what decisions or executive interventions are required. Drive annual and quarterly planning, prioritization, sequencing, resource trade-offs, portfolio reviews, and executive steering mechanisms across a highly interdependent technology landscape.

Define portfolio health metrics and mechanisms that improve delivery predictability, decision velocity, dependency management, and value realization.

Lead large-scale, technically complex Data & AI programs spanning modern data platforms, data engineering and ingestion, analytics, governance, master/reference data, integration and APIs, cloud infrastructure, AI/ML, generative AI, agents, and enterprise automation. Partner deeply with Product, Engineering, Architecture, Security, Operations, Governance, and business leaders to translate technical roadmaps into executable integrated plans. Understand and challenge architecture, sequencing, non-functional requirements, technical debt, security, reliability, scalability, data quality, and production-readiness assumptions;

identify systemic risks before they become delivery failures. Manage critical cross-program and cross-platform dependencies, including dependencies across Data Solutions, other Digital Enterprise Technology pillars, Technology & Product, business teams, and strategic partners.

Create a culture where commitments mean something. Establish clear owners, dates, decision rights, exit criteria, and measurable outcomes—and hold yourself and others equally accountable. Surface risks and uncomfortable truths early. Constructively call out missed commitments, insufficient ownership, slow decisions, or execution gaps, and drive a credible recovery plan.…