Director, Decision Science

Salesforce Salesforce · Enterprise · San Francisco, CA +1

Salesforce is seeking a Director of Decision Science to lead a team focused on developing data foundations, metrics, and insights for their AI CRM platform. The role involves shaping data strategy, leading a multi-disciplinary team, defining roadmaps, and influencing product and business strategy through data. The candidate will champion AI-driven analytics and ensure AI agents and human decision-makers have access to reliable data.

What you'd actually do

  1. Be the enterprise data and analytics thought leader across Salesforce’s C360 Apps, shaping the long-term data strategy and acting as a trusted advisor to senior executives (GM, VP, and SVP levels) across Product, Engineering, and Go-to-Market.
  2. Lead a high-performing, multi-disciplinary data team (analytics, data engineering, and visualization) with a focus on scalability, innovation, and measurable business impact; establish a culture of excellence, accountability, and continuous improvement.
  3. Define and drive the strategic vision and multi-quarter roadmap for product analytics, aligning data investments with company priorities and ensuring delivery of high-impact data products, platforms, and insights at scale.
  4. Operate as a cross-functional executive partner, influencing product and business strategy through data; proactively identify opportunities, shape decision-making frameworks, and drive alignment across complex stakeholder groups.
  5. Establish best-in-class operating models for analytics delivery, including prioritization frameworks, resource allocation, and execution rigor; ensure consistent, high-quality output across multiple concurrent initiatives.

Skills

Required

  • 10+ years overall experience in data science or analytics, including 5+ years leading high-performing teams and matrixed partners.
  • AI fluency — ability to apply LLMs, Copilots, and agent-based analytics tools (e.g., Claude, Agentforce) to accelerate insight generation, automate analysis, and embed AI into team workflows
  • Experience defining data strategy, metric frameworks, governance standards, and scalable analytical solutions, with enough technical depth to guide tradeoffs in scalable analytical system design
  • Exceptional communicator who can synthesize ambiguity into clear strategy and translate complex data into compelling narratives for executive audiences
  • Demonstrated ability to lead through ambiguity, structure complex problems, and develop innovative, data-driven solutions with measurable business impact.
  • Proficient (5+ years) in statistics or machine learning, strong data manipulation, product analytics, and statistical analysis skills, with advanced SQL, R, SAS, or Python experience.
  • Inspiring leader with a track record of driving multiple large initiatives concurrently across cross-functional teams (Product, Engineering, Customer Success, Product Marketing and more).
  • Strong execution discipline, prioritization skills, and ability to make timely decisions in dynamic environments.
  • Ability to build, develop, and retain top talent while scaling an AI-native analytics organization.

Nice to have

  • MBA or Master’s in a quantitative field (computer science, economics, statistics, engineering, or equivalent) preferred.
  • Hands-on familiarity with Salesforce's core platform and product suite is a plus — including Data Cloud, CRM Analytics, Agentforce, and Customer 360 Apps

What the JD emphasized

  • AI fluency
  • AI-native analytics organization

Other signals

  • AI CRM
  • Agentic Enterprise
  • AI agents
  • AI-driven insights
  • AI-native analytics organization