Director of Decision Science

Join Salesforce as the Director of Decision Science, leading the decision science team to develop data foundations, metrics, and insights that fuel Salesforce's Customer 360 Apps. You will shape the long-term data strategy, influence product and business strategy through data, and establish best-in-class operating models for analytics delivery. This role requires 10+ years of experience in data science or analytics, with a focus on AI fluency and exceptional communication skills.

• Lead the decision science team in developing data foundation, metrics, and insights that fuel Salesforce's Customer 360 Apps.
• Shape the long-term data strategy and act as a trusted advisor to senior executives across Product, Engineering, and Go-to-Market.
• Define and drive the strategic vision and multi-quarter roadmap for product analytics, aligning data investments with company priorities.
• Trusted executive partner to VP, SVP, and EVP leaders, influencing company-wide priorities, framing strategic decisions, and representing the function in executive forums
• 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
• MBA or Master’s in a quantitative field (computer science, economics, statistics, engineering, or equivalent) preferred
• Demonstrated ability to lead through ambiguity, structure complex problems, and develop innovative, data-driven solutions with measurable business impact
• Inspiring leader with a track record of driving multiple large initiatives concurrently across cross-functional teams (Product, Engineering, Customer Success, Product Marketing and more)
• Exceptional communicator who can synthesize ambiguity into clear strategy and translate complex data into compelling narratives for executive audiences
• Ability to build, develop, and retain top talent while scaling an AI-native analytics organization
• Hands-on familiarity with Salesforce's core platform and product suite is a plus — including Data Cloud, CRM Analytics, Agentforce, and Customer 360 Apps
• Strong execution discipline, prioritization skills, and ability to make timely decisions in dynamic environments
• 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