Lead - Workforce Intelligence

Salesforce•Chicago, IL

1d•$148,500 - $223,900

About The Position

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.

Requirements

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 as well as 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.

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.