Director, Decision Science

Salesforce

Direct decision science team shaping data strategy for Salesforce's Customer 360 Apps. Drive innovation and measurable impact through AI-driven insights and analytics.

Posted 6/13/2026full-timeSan Francisco • California • 🇺🇸 United StatesLead💰 $197,300 - $313,700 per yearWebsite

Tech Stack

Tools & technologies

CloudGoPythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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
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
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.

Benefits

Comp & perks

time off programs
medical, dental, vision
mental health support
paid parental leave
life and disability insurance
401(k)
employee stock purchasing program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data scienceanalyticsAI fluencyLLMsmachine learningstatisticsSQLRSASPython

Soft Skills

exceptional communicatorinspiring leaderability to lead through ambiguitystrong execution disciplineprioritization skillsability to make timely decisionssynthesize ambiguity into clear strategydevelop innovative solutionstranslate complex data into narrativesbuild and retain top talent

Certifications

MBAMaster’s in quantitative field