Head of People Analytics & Innovation
SwitzerlandFull-TimeLead
Salary not disclosed
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Job Details
- Experience
- 8+ years of experience in people analytics, workforce analytics, HR data science, or related quantitative fields 3+ years of experience leading or managing analytics teams, including hiring and talent development
- Required Skills
- PythonSQLSnowflakeTableauData scienceWorkdayLookerNLP
Requirements
- 8+ years of experience in people analytics, workforce analytics, HR data science, or related quantitative fields
- 3+ years of experience leading or managing analytics teams, including hiring and talent development
- Strong hands-on expertise in Python and SQL, including statistical modeling and production-level development
- Proven experience building AI/ML solutions, automation tools, or data products end-to-end
- Experience with modern AI frameworks, including LLMs, GenAI APIs, NLP, or agent-based architectures
- Ability to design and execute enterprise survey programs and translate qualitative data into actionable insights
- Strong data storytelling and executive communication skills, with the ability to simplify complex analyses
- Experience working with HRIS platforms (such as Workday) and BI tools (such as Tableau, Looker, or Snowflake)
- Demonstrated ability to operate as both a strategic leader and hands-on technical contributor
- Bachelor’s degree in a quantitative field such as Data Science, Statistics, Economics, Psychology, or Computer Science (advanced degree preferred)
Responsibilities
- Define and lead the end-to-end people analytics and innovation strategy, aligning it with HR and business priorities while building a roadmap of high-impact initiatives
- Design, develop, and deploy AI-powered tools, automation solutions, and analytics applications using Python, SQL, and modern ML/LLM technologies
- Build predictive and prescriptive models for workforce planning, retention, engagement, mobility, and employee experience
- Create executive-level dashboards, reports, and data visualizations that deliver clear, actionable insights for senior leadership
- Lead enterprise survey and feedback programs, analyzing qualitative and quantitative data to generate strategic recommendations
- Partner with HR and cross-functional stakeholders to identify key analytical needs and deliver data-driven solutions
- Translate complex analytical outputs into compelling narratives and presentations for executive audiences
- Establish scalable data infrastructure, governance frameworks, and self-service analytics capabilities
- Collaborate with Privacy, Legal, Compliance, and Data Engineering teams to ensure responsible and secure data usage
- Build, hire, and mentor a small analytics team while fostering a culture of experimentation and innovation
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