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Director - Human Capital Insights

Remote / Online - Candidates ideally in
New York, USA
Listing for: Threadneedle group
Remote/Work from Home position
Listed on 2026-06-21
Job specializations:
  • IT/Tech
    Business Systems/ Tech Analyst, AI Engineer (Applied/Software), Data Science Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 110200 - 193500 USD Yearly USD 110200.00 193500.00 YEAR
Job Description & How to Apply Below

Job Description

Are you passionate about transforming how organizations leverage data, analytics, and AI to drive workforce decisions? We have an exciting opportunity to join our global Human Resources organization as the Director of Human Capital Insights. In the role, you will shape and lead the next evolution of our People Analytics function – partnering with senior leadership to define and execute a forward‑looking vision that leverages advanced analytics, predictive modeling, and emerging AI and Intelligent Automation (IA) capabilities.

This is a highly visible, hands‑on leadership role responsible for accelerating speed to insight – delivering timely, actionable workforce intelligence that enables leaders to make informed, data‑driven decisions. You will lead a team focused on generating high‑impact insights across the employee lifecycle while modernizing tools, processes, and operating models to support a more agile, data‑centric organization. This individual will partner closely with cross‑functional stakeholders, including HR leaders, business executives, technology teams, and data governance partners to embed analytics into core decision‑making processes and unlock measurable business value.

If you are not located close to a physical office, remote work is considered for qualified candidates.

Key Responsibilities Strategy & Transformation
  • Define and execute the Human Capital Analytics strategy and roadmap, aligned to business priorities and future workforce needs
  • Lead the evolution from reporting to proactive, insight‑driven analytics emphasizing speed, scalability, and business impact
  • Identify and prioritize high‑value use cases across the employee lifecycle, including opportunities to leverage AI and intelligent automation
Advanced Analytics & Insight Generation
  • Lead the design and delivery of advanced analytics solutions, including predictive and prescriptive modeling (e.g., attrition risk, workforce planning, talent mobility)
  • Accelerate speed to insight by streamlining processes, reducing cycle time, and enabling rapid delivery of actionable insights
  • Apply statistical methods, data science techniques, and business acumen to uncover trends, root causes, and opportunities
AI & Intelligent Automation
  • Identify and deploy practical AI and IA use cases that enhance analytics capabilities and improve efficiencies (e.g., segmentation, narrative generation, anomaly detection)
  • Promote responsible AI practices, including governance, transparency, and risk mitigation
Data, Technology & Self‑Service Enablement
  • Modernize and scale analytics capabilities through automation, advanced tooling, and self‑service solutions
  • Eliminate manual processes and duplicate efforts, improving how business partners access and consume insights
  • Partner with data governance teams to ensure data quality, access control, and integrity across key data domains
Executive Communication & Storytelling
  • Translate complex data into clear, compelling executive narratives that inform and influence decision‑making
  • Develop concise, insight‑driven materials for senior leadership, linking workforce analytics to business outcomes
Leadership & Team Development
  • Lead and develop a high‑performing, hybrid team supporting analytics and emerging data science capabilities
  • Foster a culture of innovation, continuous learning, and data‑driven decision making
  • Act as a champion for the function, removing barriers and enabling team success
Required Qualifications
  • Bachelor's Degree or equivalent
  • 10+ years’ relevant experience in analytics, data science or People Analytics
  • Demonstrated experience with advanced analytics, predictive modeling, and statistical techniques
  • Proficiency with modern analytics tools and languages (e.g., Python, R, SQL) and data visualization platforms
  • Experience applying analytics in a data‑rich, complex environment
  • Proven ability to translate complex technical concepts into business‑relevant insights
  • Strong executive communication and storytelling skills
  • Demonstrated ability to operate as a hands‑on leader (player‑coach), balancing strategy and execution
  • Ability to drive alignment across technical and non‑technical stakeholders
Preferred…
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