Lead, Workforce Intelligence
Listed on 2026-07-01
-
IT/Tech
Business Intelligence, AI Engineer (Applied/Software), Data Analyst
Lead in Workforce Intelligence – Insight Strategy & Design
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 such as talent, organizational health, and employee experience. The role requires strong analytical skills, Tableau expertise, and experience with AI and agentic tools to deliver clear, actionable insights to senior leaders and help shape how those insights are built and delivered as our capabilities evolve.
CoreResponsibilities
- Agentic Implementation & Productionalization:
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. - Analysis & Interpretation:
Conduct workforce analysis—forming hypotheses, identifying root causes, and quantifying business implications. Connect data across HR domains to inform specific leadership actions. - Analytics Product Development:
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. - Insight Strategy & Design:
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.
- Education:
Bachelor’s or Master’s degree in a quantitative field (Computer Science, Data Science, Statistics, Economics, I/O Psychology). - People Analytics
Experience:
5+ years delivering insights to senior leaders, presenting complex data, and fielding difficult questions. - AI & Design Mindset:
Comfortable experimenting with AI coding assistants, prompt engineering, and agentic frameworks, and motivated to integrate effective practices into the analytics development lifecycle. - Technical Expertise:
Proficiency in SQL, Tableau, and HR data modeling; familiarity with AI coding assistants and agentic frameworks; proven ability to lead the full analytical product lifecycle. - Analytical & Statistical Rigor:
Conduct sophisticated analyses, test hypotheses, quantify business impact, and communicate statistical concepts to non‑technical audiences. Preference for experience in predictive modeling and experimentation. - Influence &
Collaboration:
Navigate a matrixed environment, collaborate cross‑functionally, and translate technical complexity into clear business value. - Communication & Storytelling:
Exceptional written and verbal communication; craft data‑driven narratives that persuade senior leaders and clearly explain the “so what?”. - Autonomy:
Operate with moderate autonomy on day‑to‑day projects while seeking guidance on high‑level strategy.
In the United States, compensation offered will be determined by factors such as location, job level, job‑related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time‑off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.
Typical base salary range for this position is $148,500 – $223,900 annually (base only; does not include bonus, incentive, equity, or benefits).
Salesforce is an equal‑opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. It means employees and candidates are assessed on merit, competence, and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law.
This policy applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment, discipline, termination, and all other aspects of employment.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).