Salesforce is seeking a Senior Lead, Workforce Intelligence to drive enterprise-level workforce insights and strategic storytelling for our most senior stakeholders. In this high-visibility role, you'll partner directly with the Employee Success (ES) COO and Chief People Officer - and other senior leaders across the Employee Success Leadership Team (ESLT) - to shape how the enterprise understands and acts on workforce data. You'll lead board-level reporting, quarterly business reviews (QBRs), and ad hoc reporting for executive leadership, while also supporting ES Business Partners and broader enterprise consulting engagements. The work sits at the intersection of strategy and execution and requires a high level of judgment. This role blends technical fluency with executive presence and consulting acumen - someone equally comfortable building a rigorous analysis and presenting it to the C-suite. Key Responsibilities • Enterprise Insight Leadership: Own the delivery of board decks, QBRs, and ad hoc reporting for executive leadership that translate complex workforce data into clear strategic narratives for the most senior audiences in the company. • Proactive Insight Generation: Identify and surface proactive, forward-looking insights for the Employee Success Leadership Team - not just responding to requests, but anticipating what leaders need to know before they ask. • Executive Partnership: Serve as a trusted advisor to the ES COO and Chief People Officer, translating their strategic priorities into an analytics agenda and ensuring insights land with appropriate nuance and executive polish. • Cross-Functional Consulting: Work across HR Business Partner and enterprise consulting teams to understand business context, prioritize high-impact analyses, and ensure workforce intelligence work stays grounded in real organizational needs. • Evidence-Based Storytelling: Synthesize workforce data, business context, and external benchmarks into compelling, decision-ready narratives - bringing both data rigor and a consulting mindset. • Technical Oversight: Guide the technical approach for enterprise analyses - from data pulls and modeling through visualization - ensuring accuracy, consistency, and quality at the standard required for executive and board-level consumption. • Stakeholder & Priority Management: Assess and prioritize incoming requests from senior leaders based on scope, urgency, and impact; manage competing timelines (e.g., board cadence vs. ad hoc leadership asks) without sacrificing quality. • Team & Practice Leadership: Contribute to the maturity of the Workforce Intelligence function's enterprise-reporting practice - templates, standards, and repeatable frameworks for recurring executive deliverables. • AI Tooling & Innovation: Actively use and champion modern AI tools (e.g., Cursor, Claude Code, Gemini, Codex, Snowflake Cortex) to accelerate analysis, prototyping, and reporting workflows - and bring an innovation mindset to identifying new ways AI can improve the speed and quality of workforce intelligence deliverables. Preferred Qualifications • 7+ years of experience in people analytics, workforce planning, or management consulting, including direct experience presenting to senior executives or boards. • Proven experience building and delivering board-level or C-suite reporting (e.g., board decks, QBRs, executive leadership briefings). • Strong consulting skills - able to navigate ambiguity, manage multiple senior stakeholders, and translate strategic priorities into an analytics roadmap. • Expertise in basic coding (e.g. SQL) and data visualization tools (e.g., Tableau), and experience organizing and synthesizing data across multiple sources with a high bar for accuracy. • Experience leading advanced analytics projects. Hands-on experience with advanced analytics, statistical or machine learning methods are a plus. • Master's or advanced degree in a related field (e.g., I/O Psychology, Organizational Behavior, Public Policy, Business) preferred but not required given equivalent experience. • Experience partnering with HR Business Partners (HRBPs) - the HR professionals embedded with business leaders - as well as other enterprise-level stakeholders across a large, complex organization is highly preferred. • Hands-on familiarity with AI coding and analysis tools such as Cursor, Claude Code, Gemini, Codex, or Snowflake Cortex, with a track record of applying them to real workflows (not just experimentation). • Demonstrated curiosity and initiative in exploring emerging AI tools and techniques, and translating that exploration into practical improvements for the team's analytics and reporting practice.