
Director, Talent Analytics, Employee Insights
GE HealthCare
full-time
Posted on:
Location Type: Hybrid
Location: Chicago • Illinois • United States
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Salary
💰 $172,000 - $258,000 per year
Job Level
About the role
- Set and own a multi-channel listening strategy (engagement, lifecycle, pulse, crowdsourcing, roundtables, ERG/affinity feedback, open-text, external signals) and integrate listening signals with other people and business data to inform HR and business strategies.
- Build and manage listening systems (e.g., topic/sentiment modeling, anomaly detection, “early-warning” dashboards) to surface new and emerging themes; establish triage/escalation and follow-through.
- Lead and develop a small People Analytics team delivering descriptive, diagnostic, and predictive insights across the talent lifecycle (attraction, recruiting, onboarding, performance, learning, inclusion, mobility, wellbeing, attrition).
- Translate insights into data-driven HR and business strategies; craft executive-ready narratives, option sets, and ROI/impact estimates; brief senior leaders and boards/committees as needed.
- Support accurate HR data and metrics reporting by defining metric standards, improving data quality/lineage, and publishing enterprise scorecards and self-serve dashboards; raise data literacy across HR and the business.
- Apply research and analytics across priority domains (e.g., performance enablement, manager capability, organization design/team structure, recruiting funnel/conversion, learning effectiveness) to inform strategy and actions.
- Incorporate advanced analytics—including AI/ML and responsible automation (e.g., text summarization, topic clustering, causal inference, experimentation) to improve speed, signal detection, and actionability.
- Establish governance for all listening activities: survey calendar, question bank, sampling standards, reporting thresholds/minimum n-sizes, action-planning expectations, and post-action measurement.
- Advise on and support the ethical use of people data within HR and beyond (policy, privacy impact assessments, small-n suppression, bias/fairness checks, transparency guidelines, access controls).
- Manage vendor selection and performance for survey/analytics/NLP tools.
- Act as a trusted advisor to the HR leadership team and senior business leaders on priorities, trade-offs, and decisions grounded in evidence; facilitate action-planning and track impact.
- Set team KPIs, manage budget/roadmap, and operate a clear intake/prioritization process with SLAs.
Requirements
- 8+ years in People Analytics, HR Research/IO Psychology, or Talent Management, including 3+ years leading teams.
- Proven ownership of enterprise listening strategy and governance with measurable impact on outcomes (e.g., engagement, retention, mobility, performance).
- Expertise in survey methodology (sampling, reliability/validity, driver analysis) and statistics/experimentation; practical experience with NLP/text analytics and early-signal detection.
- Fluency with BI and analytics tools (e.g., Tableau/Power BI/Looker) and query/scripting (SQL; Python or R); ability to guide data architecture and quality improvements.
- Track record of executive communication —turning complex data into clear, actionable recommendations; comfortable briefing senior leaders/boards.
- Experience elevating data-driven decision making (metric catalog, data literacy programs, self-serve analytics) and ensuring accurate, consistent reporting.
- Deep understanding of data privacy/ethics and relevant regulations; capable of partnering with Legal/InfoSec and (where applicable) Works Councils/ER.
- Hands-on exposure to advanced analytics/AI in HR use cases, with a responsible, human-in-the-loop approach.
Benefits
- medical
- dental
- vision
- paid time off
- 401(k) plan with employee and company contribution opportunities
- life
- disability
- accident insurance
- tuition reimbursement
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
people analyticssurvey methodologyNLPtext analyticsstatisticsexperimentationdata architecturedata qualityadvanced analyticsAI
Soft skills
executive communicationdata-driven decision makingtrusted advisoraction-planningteam leadershipbudget managementprioritizationfacilitationdata literacyimpact tracking