People Analytics Leader: AI, Data & Insights

Lever, Inc.; Ireland; On-site; EUR 120,000 - 180,000; Full time

Benefits offered by this job

Remote-first

Competitive bonus

Learning budget

Job summary

Lever, Inc. is seeking a Manager, People Analytics to lead a distributed team focused on turning workforce data into strategic insights. You will orchestrate data science, engineering, and UX efforts to create scalable analytics products and AI-powered tools for decision-makers.

The role emphasizes privacy-conscious data ecosystems, GDPR compliance, and a strong product mindset. Expect collaboration across regions with travel for events as needed.

Qualifications

• Advanced degree or equivalent in data-related field with strong statistical foundations.
• Experience translating business questions into research objectives and data products.
• Strong ability to synthesize findings and communicate to technical and non-technical audiences.

Responsibilities

• Lead a multidisciplinary squad of People Data Scientists, Software Engineers, and UX Designers.
• Own development of analytics products turning workforce data into strategic insights.
• Translate business questions into research priorities and scalable data products.
• Move beyond descriptive reporting to predictive and prescriptive analytics.
• Translate data models and findings into clear narratives for leaders.
• Guide development of AI-powered tools surfacing insights for decision-makers.
• Establish robust data stewardship, privacy, and GDPR compliance in People data ecosystems.
• Shape strategic roadmaps and ensure high-quality outcomes.
• Promote data literacy and responsible data use across the organization.

Skills

Data science

SQL

Python

Leadership

Communication

Product mindset

AI/ML interest

English proficiency

Education

Data science or quantitative discipline degree

Statistics background

Tools

dbt

Airbyte

Superset

Trino

Docker

Kubernetes

Job description

Lever, Inc. is seeking a Manager, People Analytics to lead a distributed team focused on turning workforce data into strategic insights. You will orchestrate data science, engineering, and UX efforts to create scalable analytics products and AI-powered tools for decision-makers.

The role emphasizes privacy-conscious data ecosystems, GDPR compliance, and a strong product mindset. Expect collaboration across regions with travel for events as needed.