Lead, Workforce Intelligence

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryUser ExperienceJob DetailsAbout SalesforceSalesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.Lead, Workforce IntelligenceSalesforce is seeking a Lead in Workforce Intelligence with a specialized focus on Machine Learning and Applied Research. In this role, you 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. This is an individual contributor (IC) role; you will not have direct reports, but will be expected to lead through influence, technical expertise, and cross-functional collaboration.You will be expected to drive impact through computational rigor and technical evangelism, transitioning ad-hoc research into scalable, reproducible, and automated tools that provide real-time guidance to the business.Key ResponsibilitiesStrategic 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 QualificationsEducation : 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.Unleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: 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.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: 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