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Director, Analytics & Workforce Intelligence

Job in Seattle, King County, Washington, 98127, USA
Listing for: Blue Origin
Full Time position
Listed on 2026-06-28
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst, AI Engineer (Applied/Software), Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 187923 - 263092 USD Yearly USD 187923.00 263092.00 YEAR
Job Description & How to Apply Below
Position: Director, People Analytics & Workforce Intelligence

Application close date:

Applications will be accepted on an ongoing basis until the requisition is closed.

At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We're working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!

This role is part of Blue Origin corporate functions, providing centralized support across Blue Origin business unit teams, functions, and locations.

At Blue Origin, we are building a modern, AI-enabled HR organization where data and intelligence are embedded into every product and decision.
Director of People Analytics & Workforce Intelligence will revolutionize how Blue Origin approaches talent decisions by creating an ecosystem that powers all aspects of our people strategy. In partnership with a broader HR Technology organization, this role will lead a team of analysts, data engineers and data scientists to deliver and maintain existing analytics products and services while also leading a transformation from traditional HR reporting to a sophisticated, product-driven approach that delivers actionable intelligence across the organization.

This visionary leader will redefine how Blue Origin leverages people data to drive mission-critical decisions.

Key Responsibilities Strategic Leadership & Transformation
  • Define and implement a comprehensive people analytics strategy that aligns with Blue Origin's business objectives and talent priorities
  • Establish a clear vision for how data, AI, and intelligence are embedded across HR products and decision points
  • Create a multi-year roadmap for analytics capabilities development, data infrastructure, and AI integration
  • Serve as a trusted advisor to executive leadership, transforming complex workforce data into strategic insights that drive organizational performance
Product Development & Innovation
  • Lead the development of intelligence-driven HR products that solve critical business problems
  • Transform analytics into scalable product features such as attrition risk signals, hiring funnel optimization tools, and manager decision support systems
  • Identify and prioritize high-impact AI use cases across HR functions (Talent Acquisition, Total Rewards, Employee Experience, etc.)
  • Ensure insights are delivered in workflow (embedded in products) or via AI interactions
  • Partner with HR Tech and Engineering teams to deploy models and intelligent systems that enhance decision‑making
Operational Excellence & Delivery
  • Develop and maintain self‑service reporting solutions using BI tools like Tableau for dashboards and self‑service reporting solutions, ensuring data accuracy, reliability, and compliance
  • Define and lead the tracking of key performance indicators (KPIs) that provide actionable insight into workforce trends, operational effectiveness, and progress against Blue Origin's strategic people goals
  • Establish clear productivity and performance standards for the analytics function, ensuring consistent delivery
  • Partner with HR Tech and Product Management teams to establish optimal cross‑functional ways of working to ensure successful release management and service delivery
Advanced Analytics & Data Science
  • Build predictive models to forecast talent needs, identify retention risks, and optimize workforce planning
  • Develop analytical frameworks to evaluate program effectiveness and ROI on talent investments
  • Create custom analytical solutions for complex organizational challenges
  • Accelerate the transition from transactional reporting to predictive and prescriptive analytics
Team Leadership & Capability Building
  • Build and lead a high‑performing analytics and product team that combines technical expertise with business acumen
  • Develop team capabilities across data engineering, data science, visualization, and product management
  • Establish standards and best practices for metrics, KPIs, experimentation, and analytical rigor
  • Mentor team members and create growth opportunities that attract and retain top analytics talent
  • Foster a culture of innovation, continuous learning, and…
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