Director, People Analytics and Workforce Intelligence

About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions.
About the Role: 

The Director of People Analytics and Workforce Intelligence will lead our global workforce intelligence strategy, transforming complex talent and organizational data into actionable business outcomes. Reporting to the Sr. Director, People Solutions, you will bridge HR, Artificial Intelligence, and enterprise analytics. 

We are seeking a visionary leader to architect scalable solutions that empower executive leadership and managers to make data-driven decisions. You will build proactive tools to create insights that shift the paradigm from reactive reporting to predictive talent interventions.

This role can be based in our Madison, WI office, or fully remote/virtual. Remote candidates must be physically located within the United States.

Responsibilities

Define and execute the global roadmap for People Analytics, aligning workforce insights directly with core business strategy and growth goals.

Lead the design, development, and deployment of custom AI-driven analytics tools, internal dashboards, and predictive decision-support applications for leaders and managers.

Shift the organizational paradigm from reactive, descriptive reporting to proactive, predictive talent interventions (e.g., flight-risk modeling, workforce planning, skill gap forecasting, performance drivers).

Utilize Generative AI frameworks across HR data ecosystems to automate insights generation, summarize employee sentiment, and streamline talent operations.

Partner with IT, Enterprise Data, and Security teams to ensure rigorous data governance, privacy compliance (GDPR/CCPA), and ethical AI frameworks for employee data.

Champion data democratization across the company by training and empowering People Business Partners and business managers to self-serve actionable insights.

Serve as the principal data advisor to the People Leadership Team, translating complex analytical findings into compelling executive narratives.

Design framework models that measure the ROI of People programs, culture initiatives, compensation strategies, retention plans, and talent acquisition pipeline efficiency.

Benchmark internal metrics against industry standards and macroeconomic trends to anticipate organizational talent shifts.

Qualifications

10+ years of progressive experience in Analytics, Business Intelligence, or Workforce Data Science

Demonstrated experience building or deploying AI/ML models (e.g., predictive modeling, NLP for sentiment analysis, LLM integrations) that translate raw data into user-friendly organizational tools.

Advanced proficiency in SQL, Python/R, and enterprise HR systems (Workday, SuccessFactors, etc.), along with demonstrated experience implementing a data warehouse that connects to a BI visualization platform (e.g., Tableau, PowerBI, Looker).

Exceptional narrative and storytelling ability—capable of distilling complex statistical models into clear, high-impact strategies for executive stakeholders.

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Industrial/Organizational Psychology, Business Analytics, or a related quantitative field.

"We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.   By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice."
Salary: 189000 - 231000 USD per year