Lead, Workforce Intelligence

Lead, Workforce Intelligence Salesforce is seeking a Lead in Workforce Intelligence with a specialized focus on Machine Learning and Applied Research. This individual contributor role will drive the end-to-end lifecycle of workforce research – from problem formulation and experimental design to the delivery of high‑fidelity predictive models. You will combine deep technical expertise in Machine Learning with a consulting mindset to help leaders decode complex workforce patterns and employee experiences. You will not have direct reports but will lead through influence, technical expertise, and cross‑functional collaboration. Key responsibilities include: Strategic ML & Problem Formulation : Define ambiguous business challenges as rigorous research questions. Assess and prioritize new work for scope and urgency, managing stakeholder expectations and pivoting based on changing business needs. Predictive & Causal Modeling : Conduct mid‑to‑high complexity data analyses, building robust Machine Learning models (predictive and descriptive) on structured and unstructured enterprise data. Lead the development of causal identification strategies to determine the effectiveness of talent initiatives. Data Productization & Visualization : Drive the "productization" of data by architecting high‑impact, self‑service analytics tools. Ensure models and dashboards integrate seamlessly with existing business tools to provide actionable, real‑time insights. Evidence‑Based Storytelling : Lead the strategic narrative on workforce data by translating complex ML outputs into clear, compelling narratives. Articulate findings clearly to inform specific stakeholder actions, demonstrating how data leads to concrete outcomes. Innovation & Technical Evangelism : Remain at the forefront of emerging AI, Agents, and LLMs. Proactively champion their adoption and train others on new solutions to ensure they integrate into a human‑centric talent model. Cross‑Functional Collaboration : Partner with cross‑functional peers (e.g., Data Engineering, Finance, Business Partners) on projects involving people data or metrics, ensuring alignment and providing high‑quality, accurate insights. Preferred Qualifications Education : Master’s or PhD in a highly quantitative or computational research field (e.g., Computer Science, Data Science, I/O Psychology, Econometrics, or Statistics). Experience : 5+ years of experience in data science, people analytics, or applied research, with a track record of delivering scientific insights to leadership (Director+). Programming : Mastery of Python or R and SQL is required. Candidates must be proficient in performing data manipulation, statistical modeling, and automation within a code‑based environment. Data Visualization : Expert‑level proficiency in Tableau; experience architecting visuals that simplify complex, heterogeneous enterprise data. Machine Learning : Experience with ML frameworks (e.g., Scikit-learn, PyTorch, TensorFlow) and advanced techniques, including NLP, clustering, or LLM‑driven labeling. Methodological Rigor : Deep understanding of experimental design, causal inference, and computational statistics. Communication : Exceptional skills in translating complex technical concepts for non‑technical audiences and informing specific team or stakeholder actions. Autonomy : Proven ability to operate with moderate autonomy, handling day‑to‑day projects independently while seeking guidance for high‑level strategy and prioritization. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. What that means exactly is that at Salesforce, we believe in equality for all. We believe we can lead the path to equality in part by creating a workplace that is inclusive and free from discrimination. Workplace discrimination is illegal. Any employee or potential employee will be assessed 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. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. Compensation and Benefits 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. More details about company benefits can be found at the following link: . At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,500 - $223,900 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable. #J-18808-Ljbffr salesforce.com, inc.