Lead, Workforce Intelligence

About the role

Salesforce is seeking a Lead in Workforce Intelligence focused on Insight Strategy & Design. This is a strategic individual contributor (IC) role responsible for the end-to-end lifecycle of workforce analytics across HR domains (e.g. talent, org health, and employee experience).

Responsibilities

• Design and implement agentic analytical experiences, including Agentforce agents and Slack, that deliver proactive workforce insights in the flow of work.
• Partner with engineering to move from prototype to production, managing data model requirements, testing, and iteration cycles.
• Conduct workforce analysis - forming hypotheses, identifying root causes, and quantifying business implications. Connect data across HR domains (e.g. talent growth & development, org health, employee experience) to inform specific leadership actions.
• Evolve and maintain insights embedded in Tableau and Agentforce products, used by leaders globally. Manage data validation, quality assurance, and metric iterations for workforce signals. Incorporate AI-augmented approaches where they accelerate rigor and speed.
• Apply user-centered design principles to data. Develop narratives and interfaces that translate technical signals into clear, actionable insights for functional leaders.
• Cross-Functional Collaboration: Collaborate with HR Product, Data Engineering, and partner data teams to align strategies, proactively remove technical and organizational blockers, and ensure the insights roadmap stays on track.

Requirements

• Education: Bachelor's degree or Master's degree in a quantitative field (e.g., Computer Science, Data Science, Statistics, Economics, I/O Psychology).
• People Analytics Experience: 5+ years in people/workforce analytics with a proven track record of delivering insights to senior leaders, presenting complex data and fielding difficult questions.
• AI & Design Mindset: Comfortable experimenting with tools like AI coding assistants, prompt engineering, and agentic frameworks, and motivated to bring what works into the analytics development lifecycle.
• Technical Expertise: Familiarity with AI coding assistants (e.g., Cursor, Codex, Claude Code) and agentic frameworks. Strong proficiency in SQL, Tableau, and HR data modeling.
• Proven ability to lead the full analytical product lifecycle, delivering integrated data solutions and actionable visualizations.
• Analytical & Statistical Rigor: Proven ability to conduct sophisticated analyses, test hypotheses, and quantify business impact. Experience in communicating statistical concepts to non-technical audiences, with a preference for experience in predictive modeling and experimentation.
• Influence & Collaboration: Proven ability to navigate a matrixed environment, collaborate cross-functionally, and translate technical complexity into clear business value.
• Communication & Storytelling: Exceptional written and verbal communication, crafting data-driven narratives that persuade and move senior leaders to action with a clear "so what?".
• Autonomy: Proven ability to operate with moderate autonomy, handling day-to-day projects independently while seeking guidance for high-level strategy and prioritization.

Qualifications

Not specified.

Skills

• Strong analytical and statistical skills.
• Tableau expertise.
• Experience with AI and agentic tools.
• User-centered design principles.
• Collaboration and cross-functional skills.
• Effective communication and storytelling abilities.

Benefits

Not specified.

Pay

$148,500 - $223,900 annually.

Schedule

Not specified.