Senior Lead - Workforce Intelligence

## Job Title Senior Lead - Workforce Intelligence ## Job Category User Experience ## Job Details ### About Salesforce Salesforce 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. Salesforce is seeking a Lead, Workforce Intelligence to help shape the future of employee listening and organizational research. This role sits at the intersection of data science, data engineering, behavioral science, and people analytics, helping transform complex workforce and employee experience data into scalable intelligence that drives strategic business decisions. As a member of the Workforce Intelligence team, you will partner with researchers, analysts, HR leaders, and technical teams to transform workforce data into actionable insights that inform strategic decisions across the company. You will help establish scalable approaches for analyzing employee feedback, collaboration patterns, communication signals, and emerging workforce datasets while ensuring insights remain interpretable, actionable, and grounded in sound scientific principles. This role is ideal for someone who enjoys moving between strategy and execution: designing analytical frameworks, developing machine learning and LLM solutions, creating reusable intelligence assets, and partnering closely with engineering teams to operationalize workforce intelligence capabilities. You will play a critical role in shaping how Salesforce listens to and learns from its workforce in the age of AI. In this role, you will combine expertise in data science, computational social science, employee research, and applied AI to transform fragmented workforce data into scalable intelligence. You will help identify and operationalize new sources of workforce insight, develop innovative approaches for analyzing employee experience and collaboration data, and create reusable intelligence assets that enable deeper understanding of organizational health, workforce dynamics, and how work happens across Salesforce. Working across structured and unstructured datasets, you will apply methods such as natural language processing, network analysis, machine learning, and large language models to uncover meaningful patterns and generate actionable insights. You will partner closely with data engineering and technology teams to help operationalize new workforce sensing capabilities, contributing technical expertise that bridges exploratory research and scalable analytics solutions. You will play a key role in advancing how Salesforce leverages employee listening, collaboration signals, and digital trace data to inform workforce strategy, employee experience, talent outcomes, and organizational effectiveness. A successful candidate combines strong technical depth with intellectual curiosity and a consulting mindset. You are energized by ambiguous problems, capable of independently driving work from concept through implementation, and skilled at influencing stakeholders through evidence-based recommendations. You are comfortable working across disciplines and can effectively communicate complex analytical concepts to both technical and non-technical audiences. ## Responsibilities - Design and execute innovative workforce intelligence studies that combine employee listening, behavioral science, and advanced analytics to better 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, helping bridge the gap between exploratory research and production-ready workforce intelligence solutions. - Lead the development of organizational network analysis and collaboration intelligence capabilities to better 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. ## Requirements - Strong technical depth in data science, computational social science, employee research, and applied AI. - Experience in designing analytical frameworks, developing machine learning and LLM solutions, and creating reusable intelligence assets. - Ability to independently drive work from concept through implementation. - Skilled at influencing stakeholders through evidence-based recommendations. - Comfortable working across disciplines and communicating complex analytical concepts to both technical and non-technical audiences. - Proven ability to translate complex analytical findings into compelling narratives, visualizations, and recommendations for senior leaders and stakeholders. - Experience in working with structured and unstructured datasets, applying methods such as natural language processing, network analysis, machine learning, and large language models. - Experience in partnering with data engineering and technology teams to operationalize new workforce sensing capabilities. - Experience in leading the development of organizational network analysis and collaboration intelligence capabilities. - Experience in designing scalable approaches for coding, categorizing, summarizing, and synthesizing large volumes of employee feedback and unstructured workforce data. - Experience in staying current on advances in AI, computational social science, workforce sensing, employee listening, and organizational research methodologies. - Experience in championing best practices in workforce intelligence, responsible AI, data governance, and research methodology. ## Nice to Have - Master's degree or PhD in Data Science, Statistics, Computer Science, Economics, I/O Psychology, Organizational Behavior, Computational Social Science. ## Benefits - Opportunity to shape the future of employee listening and organizational research at Salesforce. - Collaborate with cross-functional teams including researchers, analysts, HR leaders, and technical teams. - Work on cutting-edge technologies and methodologies in AI, computational social science, and workforce sensing. - Influence strategic decisions across the company through actionable insights. - Lead the development of innovative solutions for analyzing employee experience and collaboration data. - Contribute to the advancement of workforce intelligence, responsible AI, data governance, and research methodology. - Work in a dynamic and innovative environment that values intellectual curiosity and a consulting mindset. - Opportunity to impact organizational health, workforce dynamics, and how work happens across Salesforce.