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Why this grade This listing scored 57/100, which is a C. It lost the most ground on freshness. See the breakdown
- Pay transparency 25 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
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-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
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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
As Lead Talent Acquisition Analyst, you will serve as the architect of our talent acquisition data strategy. This is a strategic, high-impact role bridging the gap between complex data infrastructure, advanced resource modeling, and executive decision-making.
You will design the frameworks that measure hiring efficiency and build the narrative that guides our global talent acquisition strategy. The insights you surface will directly influence executive decisions, resource allocation, and long-term business growth.
Responsibilities:
Design and own the TA data architecture ecosystem, ensuring seamless integration between our ATS, HRIS, and Clinical Recruiting analytics.
Build, maintain, and scale robust data pipelines and automated dashboards that serve as the "single source of truth" for TA metrics globally.
Establish governance standards for data cleanliness, compliance (GDPR, EEOC, etc), and TA reporting methodologies across the organization.
Develop sophisticated recruiter capacity and workload models to ensure the TA team is optimally staffed to meet fluctuating business hiring demands.
Architect predictive hiring models (e.g., time-to-fill forecasting, offer acceptance curves, and funnel conversion yield ratios) to identify potential hiring bottlenecks before they impact the business.
Partner with Finance and Workforce Planning to align headcount budgets, attrition forecasts, and hiring plans into a cohesive operational model.
Translate complex datasets into compelling, executive-ready narratives and presentations for the Head of Talent Acquisition, Executive Team, and Business Unit Leaders.
Lead quarterly and annual business reviews (QBRs/ABRs) for the TA organization, delivering actionable insights rather than just raw numbers.
Act as an internal consultant, proactively identifying trends, anomalies, or inefficiencies in the hiring funnel and recommending data-driven interventions to TA leadership.
Data Architecture & Strategy
Capacity & Predictive Modeling
Executive Storytelling & Insights
Qualifications:
7+ years of experience in data analytics, business intelligence, or workforce planning, with at least 3+ years specifically focused on Talent Acquisition/HR analytics at an enterprise scale.
Technical Expertise: Advanced proficiency in Excel or SQL is required. Strong experience building enterprise-grade data models in Tableau, Power BI, or Visier is a plus.
Storytelling Mastery: Exceptional communication and presentation skills. You have a proven track record of distilling technical data into clear, concise, and persuasive presentations for executive-level audiences.
Financial & Operational Acumen: Proven experience building complex capacity models and headcount forecasting frameworks from scratch, preferably in a fast-paced or scaling environment.
Systems Knowledge: Deep familiarity with modern ATS data structures and talent CRM platforms. Direct experience with Lever or Ashby is highly preferred, though expertise with other enterprise systems (e.g., Greenhouse, Workday, Gem, etc) is also acceptable.
Originally posted on Himalayas
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Where this listing came from
- 01 Aug 2026 VC talent network employer ATS first sighting
- 03 Aug 2026 Himalayas also listed, 2 days later
Seen on 2 boards over 4 days.