Lead - Workforce Intelligence

Lead, Workforce Intelligence (Salesforce) Salesforce is seeking a Lead, Workforce Intelligence to shape the future of employee listening and organizational research. The role sits at the intersection of data science, engineering, behavioral science, and people analytics, transforming workforce and employee experience data into scalable intelligence that drives strategic business decisions across the company. Key Responsibilities Design and execute innovative workforce intelligence studies that combine employee listening, behavioral science, and advanced analytics to understand employee experiences and organizational outcomes. Identify, evaluate, and operationalize emerging workforce data sources and employee listening data. Develop scalable approaches for transforming unstructured workforce data into reusable intelligence assets through methods such as topic modeling, embeddings, large language models, clustering, and classification. Build analytical frameworks and data products that enable workforce insights to be generated consistently, efficiently, and at scale. Partner closely with Data Engineering, HR Technology, and platform teams to define technical requirements, data models, and architectures that support workforce intelligence initiatives. Prototype and operationalize new analytical capabilities, bridging the gap between exploratory research and production-ready workforce intelligence solutions. Lead the development of organizational network analysis and collaboration intelligence capabilities to understand patterns of influence, connectivity, and information flow across the enterprise. Design scalable approaches for coding, categorizing, summarizing, and synthesizing large volumes of employee feedback and unstructured workforce data. Translate complex analytical findings into compelling narratives, visualizations, and recommendations for senior leaders and stakeholders. Serve as a thought partner to Employee Listening, HR Business Partners, Talent teams, and executive stakeholders on emerging workforce trends and opportunities. Stay current on advances in AI, computational social science, workforce sensing, employee listening, and organizational research methodologies, identifying opportunities to apply new approaches within Salesforce. Champion best practices in workforce intelligence, responsible AI, data governance, and research methodology. Preferred Qualifications Master’s degree or PhD in Data Science, Statistics, Computer Science, Economics, I/O Psychology, Organizational Behavior, Computational Social Science, or a related quantitative discipline. 5+ years of experience in workforce intelligence, people analytics, employee listening, data science, applied research, survey science, computational social science, or a related field. Advanced proficiency in SQL and either Python or R, with demonstrated experience building production-quality analytical workflows and scalable data solutions. Experience applying natural language processing, large language models, text analytics, topic modeling, embeddings, clustering, network analysis, or related advanced analytical methods. Experience designing scalable analytical workflows, reusable data assets, or data products that support broader organizational decision‑making. Familiarity with collaboration, communication, employee listening, workforce, behavioral, or organizational datasets is strongly preferred. Experience working closely with Data Engineering, platform, or technology teams to operationalize analytical solutions and data assets. Knowledge of cloud‑based analytics environments (e.g., AWS) and modern data ecosystems. Experience building or supporting data pipelines, analytical infrastructure, APIs, or automated workflows is highly desirable. Strong foundation in quantitative research methods, statistical analysis, and evidence-based decision making. Exceptional communication and storytelling skills, with the ability to translate complex analytical concepts into actionable business recommendations. Demonstrated ability to thrive in ambiguity, independently drive initiatives, and influence cross‑functional stakeholders without direct authority. Curiosity about emerging AI technologies and a passion for reimagining how organizations understand employee experience in the age of intelligent systems. Equal Employment Opportunity Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. We assess all employees and prospective employees on the basis of 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, across all aspects of employment. Accommodations If you need a reasonable accommodation during the application or recruiting process, please submit a request via the Accommodations Request Form. Candidate Privacy Statement Salesforce uses artificial intelligence (AI) tools to help recruiters assess and evaluate candidates. Humans make all final hiring decisions. Please see the Candidate Privacy Statement for more information about our use of AI and your privacy rights. #J-18808-Ljbffr 100 Salesforce, Inc.