Head of Product & Engineering Analytics

About Personio

Personio offers an intelligent HR platform designed to simplify complex and time-consuming tasks for small and medium-sized enterprises. With a team of 1,500 employees, we serve over 15,000 customers and 1.5 million users, creating user-friendly products that truly resonate.

This role requires a presence in the office two days per week and can be based in Munich, Berlin, or Dublin.

Role Summary

We empower decision-making across the company through strategic insights, automation, and systems improvement. As the Head of Product & Engineering Analytics, you will craft and lead the data strategy for our Product & Tech division. You will pioneer an AI-driven, agentic, and self-serve approach to product analytics, collaborating closely with Product and Engineering leadership while maintaining a hands-on role.

Key Responsibilities

• Drive the evolution of Product & Tech analytics by embedding AI-enabled, autonomous tools that prioritize automated, self-service insight creation.
• Develop and own the data and analytics strategy for the Product & Tech department, aligning it with product development methodologies.
• Utilize data comprehensively throughout the product development lifecycle, from initial discovery and sizing opportunities to assessing post-launch outcomes.
• Establish and maintain metric frameworks that empower teams to set and measure success effectively.
• Collaborate closely with senior product and engineering leaders to anchor strategic and roadmap decisions in data-driven insights.
• Cultivate a data-centric culture by enhancing data literacy and promoting self-serve analytics capabilities within Product & Tech.
• Build, mentor, and lead a high-performing analytics team while remaining engaged in hands-on activities such as prototyping, modeling, and data analysis.

Qualifications and Experience

• Minimum 7 years in analytics or data science, including at least 3 years leading product analytics teams involving coaching, recruitment, and team growth.
• Proven direct experience implementing AI and large language models in analytics, including practical deployments such as natural language queries, AI-driven insights, and automated anomaly detection.
• Strong technical proficiency with SQL, Python or R, dbt or similar tools; comfortable with BI platforms such as Looker and Tableau, and behavioral analytics tools including Amplitude, Heap, or Mixpanel; Snowflake experience is advantageous.
• Expertise in developing metrics frameworks and defining success criteria within product organizations.
• Ability to act as a trusted strategic partner to senior product and engineering executives.
• Exceptional communication skills capable of engaging both technical and non-technical stakeholders during transformational initiatives.

Why Join Personio?

Personio is an equal opportunity employer committed to fostering an inclusive and supportive workplace. We celebrate diversity and recognize that our strength lies in a values-driven culture.

Additional benefits include:

• Competitive salary and benefits package, reviewed annually, including pre-IPO equity.
• 28 days paid vacation with extra leave after 2 and 4 years of service.
• One fully paid Impact Day dedicated to environmental and social contributions.
• Generous family leave, child support, mental health resources, and sabbatical opportunities.
• Flexible remote-friendly work environment with designated office days to promote collaboration.
• Community events, cultural initiatives, catered weekly lunches, and healthy workplace refreshments.