Manager, People Analytics

Jobgether SRL; Ireland; On-site; EUR 120,000 - 180,000; Full time

Benefits offered by this job

Remote-first

Performance bonus

Learning budget

Travel opportunities

Wellness program

Job summary

Our partner company in Ireland seeks a Manager, People Analytics to lead a multidisciplinary team creating data-driven products that transform workforce data into actionable insights.

Role focuses on predictive analytics, automation, and AI, translating complex questions into research objectives and scalable data solutions while ensuring privacy and security across a distributed environment.

Qualifications

• Academic background in data science, mathematics, engineering, or related quantitative field.
• Strong foundations in statistics and analytical methods.
• Experience with data science, data wrangling, databases, and software engineering.

Responsibilities

• Lead multidisciplinary team including Data Scientists, Software Engineers, and UX Designers.
• Develop data-driven products turning workforce data into strategic insights.
• Translate research objectives into scalable data products and stories for decision-makers.
• Guide AI-powered tools and agents to surface workforce insights.
• Ensure GDPR-compliant, privacy-conscious data stewardship.

Skills

Data science

SQL

Python

R

Data visualization

Communication

Leadership

Education

Quantitative discipline

Tools

Superset

Tableau

dbt

Airbyte

Kubernetes

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Manager, People Analytics based in Ireland.

This is a strategic leadership opportunity at the intersection of people analytics, data science, software engineering, and product development.

You will lead a multidisciplinary team building data-driven products that help organizations make better workforce decisions.

The role goes beyond traditional reporting, using predictive analytics, automation, AI, and experimentation to turn workforce data into actionable insights.

You will translate complex people and business questions into research objectives, scalable data products, and compelling stories for decision-makers.

You will also help shape a secure, privacy-conscious People Data ecosystem that serves as a trusted source of workforce intelligence.

The environment is highly distributed, technology-focused, and collaborative, with significant scope to influence how modern AI and open-source data technologies are applied to People functions.

This is a remote position available across the Americas and EMEA, with periodic international travel for company events.

Accountabilities

• Lead and mentor a multidisciplinary product squad comprising People Data Scientists, Software Engineers, and UX Designers.
• Own the development of people analytics products that transform workforce data into strategic insights and practical business outcomes.
• Bridge people science, business requirements, and software engineering by translating human and organizational objectives into clear technical and research priorities.
• Move beyond descriptive reporting toward predictive and prescriptive analytics, including identifying patterns and signals that can inform workforce decisions.
• Translate complex data models, research findings, and analytical outputs into clear, compelling narratives for business leaders and managers.
• Guide the development of AI-powered tools and agents capable of surfacing relevant workforce insights in a timely and accessible way.
• Establish and maintain strong data stewardship practices, ensuring that People data is secure, reliable, privacy-conscious, and compliant with applicable requirements such as GDPR.
• Help develop a trusted People Data ecosystem that provides consistent, high-quality information across People-related products and services.
• Identify opportunities to use technology and automation to improve workplace effectiveness while creating more capacity for high-value human interactions.
• Build and execute strategic roadmaps, ensuring teams are aligned, supported, and able to deliver high-quality outcomes.
• Promote data literacy, responsible data use, experimentation, and continuous improvement across the wider organization.

Requirements

• Academic background in data science, mathematics, engineering, or another quantitatively focused discipline, with strong foundations in statistics and analytical methods.
• Demonstrated experience with data science, data wrangling, databases, SQL, software engineering, or related technical disciplines.
• Strong coding or scripting capabilities in languages such as Python, R, JavaScript, or comparable technologies.
• Experience with data visualization and analytics platforms such as Superset, Tableau, or similar tools.
• Ability to translate ambiguous business questions into clearly defined research objectives and select appropriate analytical or research methodologies.
• Proven ability to synthesize complex findings and communicate them effectively to technical and non-technical audiences.
• Demonstrated leadership experience, including managing, mentoring, coaching, and motivating multidisciplinary technical professionals.
• Strong product mindset and the ability to develop and execute well-structured roadmaps.
• Curiosity, adaptability, resilience, and willingness to challenge established approaches and explore new technologies.
• Strong interest in AI, data platforms, automation, and open-source technologies.
• Excellent written and spoken English with strong communication and presentation skills.
• High standards for precision, reliability, accessibility, collaboration, and quality.
• Strong personal accountability, self-motivation, and commitment to delivering meaningful outcomes.
• Experience with dbt, Airbyte, Ranger, Superset, Temporal, or Trino is an advantage.
• Familiarity with Docker, Kubernetes, agentic engineering, product management, or UX and design is a plus.
• Willingness to travel internationally approximately 2–4 times per year for company events lasting up to two weeks.

Benefits

• Remote-first working environment for professionals based in the Americas or EMEA.
• Compensation determined according to geographic location, experience, and performance.
• Performance-driven annual bonus or commission in addition to base compensation.
• Bi-annual compensation reviews.
• Personal learning and development budget of USD 2,000 per year.
• Company recognition and rewards programs.
• 40 days of annual leave per year, including public holidays and company-wide holiday periods.
• Maternity and paternity leave.
• Team Member Assistance Program and wellness platform.
• Twice-yearly in-person team sprints and opportunities to collaborate with colleagues internationally.
• Opportunities to travel to new locations for company events and meet distributed colleagues.
• Priority Pass lounge access for eligible travel.
• Inclusive working environment with support for reasonable travel accommodations where required.