Salesforce Ad

Job Summary:
SalesForce is a leading company in delivering trusted data and AI-driven insights. They are seeking a Director of Decision Science to lead a team focused on developing metrics and insights that enhance Salesforce's Customer 360 Apps, ensuring reliable data for decision-making.
Responsibilities:
• 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.
• 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.
• 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.
• 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.
• 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.
• Lead the definition of north-star metrics, KPI frameworks, and measurement systems to drive product adoption, customer success, and revenue growth; embed data-driven decision-making across product and business teams.
• Drive organizational impact by translating complex data into clear narratives and actionable insights for executive audiences, influencing company-level strategy and investment decisions.
• Develop and grow a team of specialized ICs; establish clear career paths, succession planning, and leadership development while upskilling teams to leverage modern AI technologies (e.g., LLMs such as Claude, Agentforce) as a core part of their analytical workflow and decision-making practice.
• Champion data as a strategic asset across Salesforce, promoting best practices in AI-driven analytics to unlock new product and business value.
Qualifications:
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
• Hands-on familiarity with Salesforce's core platform and product suite is a plus — including Data Cloud, CRM Analytics, Agentforce, and Customer 360 Apps
• Trusted executive partner to VP, SVP, and EVP leaders, influencing company-wide priorities, framing strategic decisions, and representing the function in executive forums.
• 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.
Preferred:
• MBA or Master’s in a quantitative field (computer science, economics, statistics, engineering, or equivalent) preferred.
Company:
We bring companies and customers together on the #1 CRM. Sharing the news, events, and innovation you need to change the world for good. Founded in , the company is headquartered in , , with a team of 10001+ employees. The company is currently Late Stage.