Senior Lead - Product & Engineering Analytics (d/f/m)

Personio; Berlin; Hybrid; EUR 120,000 - 180,000; Full time

Benefits offered by this job

Salary review

Vacation days

Impact Day

Family support

Remote-friendly

Office gatherings

Job summary

Personio is seeking a Senior Lead - Product & Engineering Analytics to own the data strategy for Product & Tech and lead the next chapter of product analytics. You will report to the Head of Data Analytics, collaborate closely with Product & Engineering leadership, and remain hands-on with the data.

This role focuses on building AI-powered, self-serve insights and a scalable analytics workflow, while growing a high-caliber analytics team and shaping the data-driven future of our products.

Qualifications

• 7+ years in analytics or data science with leadership experience.
• Hands-on AI/LLMs applied to analytics workflows you shipped.
• Strong technical fluency with SQL, Python/R, dbt and BI tools.
• Proven ability to define product metrics and success criteria.
• Excellent communication with senior product and engineering stakeholders.

Responsibilities

• Lead the next chapter of PTech analytics with AI-powered, agentic tooling.
• Own the data & analytics strategy for Product & Tech.
• Guide data usage across the product lifecycle from discovery to post-launch.
• Build and maintain metrics frameworks for PTech teams.
• Partner with product leaders to ground strategy in data.
• Foster a data-driven culture and develop the analytics team while staying hands-on.

Skills

Analytics leadership

Data storytelling

Strategic partnering

Change management

Tools

SQL

Python/R

dbt

Looker

Tableau

Amplitude

Heap

Mixpanel

Snowflake

Job description

Personio's intelligent HR platform helps small and medium-sized organizations unlock the power of people by making complicated, time-consuming tasks simple and efficient. Our team of 1,500 Personios is building user-friendly products that delight our 15,000+ customers and their 1.5 million employees. Ready to make an impact from day one?

This role requires 2 days per week in the office and is based in Munich, Berlin, or Dublin.

We empower Personio’s decision‑making with advanced analytics and strategic insights, while boosting productivity through systems improvement and automation. Be part of our transformative journey in HR technology, where your contributions will shape our data‑driven future.

AI is changing what product analytics can do, and we want to lead that shift. As Senior Lead - Product & Engineering Analytics, you’ll own our data strategy for Product & Tech (PTech) and lead the next chapter of product analytics at Personio: AI-first, agentic, and self‑serve by design. You’ll report to our Head of Data Analytics, partner closely with Product & Engineering leadership, and stay hands‑on with the data yourself. This is a role for someone who wants to build the future of analytics, not just manage it.

Role Responsibilities: What you’ll do

• Lead the next chapter of PTech analytics: Build and embed AI-powered, agentic tooling into how PTech works with data, making self‑serve insight generation and automation the default, not the exception.


• Own the data strategy: Define and drive the data & analytics strategy for Product & Tech, ensuring it evolves alongside how Personio builds products.


• Guide the product lifecycle with data: Define how data is leveraged at each stage of the product development lifecycle, from discovery and opportunity sizing through to post‑launch impact measurement.


• Build metrics frameworks: Define and maintain the metrics frameworks PTech teams use to define and measure success.


• Partner with product leaders: Work hand‑in‑hand with Product & Engineering leadership to ground strategy and roadmap decisions in data.


• Change the culture: Foster a data & measurement‑driven culture across PTech, raising the bar on data literacy and self‑serve capability.


• Lead & stay close to the work: Build and develop a high‑caliber analytics team, while remaining hands‑on enough to prototype, model and analyse alongside them.

Role Requirements: What you need to succeed

• 7+ years in analytics or data science, with at least 3 years experience leading a product analytics function (coaching, hiring, and growing teams)


• Direct, hands‑on experience applying AI/LLMs to analytics workflows (e.g. natural‑language querying, AI agents for insight generation, automated anomaly detection) that you’ve personally shipped, not just read about.


• Expert hands‑on technical skills: SQL, Python/R, dbt or similar, plus fluency with BI tools (Looker, Tableau) and behavioral analytics platforms (Amplitude, Heap, Mixpanel). Snowflake experience is a plus.


• Strong track record defining metrics frameworks and success criteria for product organisations.


• Comfortable operating as a strategic partner to senior Product & Engineering stakeholders.


• Excellent communication skills, able to bring both technical and non‑technical audiences along on a change agenda.

Why Personio?

Personio is an equal opportunities employer, committed to building an integrative culture where everyone feels welcomed and supported. We embrace uniqueness and understand that our diverse, values‑driven culture makes us stronger. We are proud to have an inclusive workplace environment that will foster your development no matter your gender, civil status, family status, sexual orientation, religion, age, disability, education level, or race.

Aside from our people, culture, and mission, check out some of the other benefits that make Personio a great place to work:

• Receive a competitive reward package – reevaluated each year – that includes salary, benefits, and pre‑IPO equity


• Enjoy 28 days of paid vacation, plus an additional day after 2 and 4 years


• Make an impact on the environment and society with 1 (fully paid) Impact Day


• Receive generous family leave, child support, mental health support, and sabbatical opportunities.


• We follow an office‑led, remote friendly approach, including opportunities to work from home and international locations. Many of our teams have designated days for gathering in the office to enhance collaboration and foster a sense of community.


• We enjoy gathering for meals, cultural initiatives, and events like local Summer Sessions and year-end celebrations. There's also healthy snacks, drinks, and a weekly catered lunch.