Data Product Owner (m/f/d) 80–100%

autoSense Inc.; Zürich; Hybrid; CHF 100,000 - 140,000; Full time

Benefits offered by this job

Flexible working

Home-office options

Central Zurich office

Lunch options nearby

Fair compensation

Job summary

autoSense AG is a fast-growing corporate start-up focused on charging solutions for electric vehicles. You will own the data team's backlog, translate business needs into data products, and lead a team of data engineers and developers to deliver dashboards, reports, and APIs.

You will collaborate with sales, operations, finance, and management, shape data standards, and prototype solutions while staying close to the code to unblock the team when needed.

Qualifications

• 3+ years in data roles, including 1–2 years with product or product-owner responsibility.
• Solid understanding of how a modern data platform fits together: ingestion, transformation, orchestration, and presentation.
• Hands-on experience with data stack: Snowflake, dbt, Airflow, Airbyte, Python.
• Strong SQL. You can read a data model and question it.
• Fluent English and comfortable with German.

Responsibilities

• Own the data team's backlog: prioritise, refine, and run sprint planning.
• Work with internal stakeholders to shape requirements into clear, deliverable data products.
• Lead and coordinate the work of internal and external data engineers and developers, keeping priorities aligned and delivery on track.
• Own customer-facing data products for partners and customers, such as dashboards, reporting, and APIs.
• Drive a unified approach to data: set standards, and define data models with engineering and business.
• Stay close to the code: review pull requests, prototype in SQL, and help debug issues across the pipeline.

Skills

SQL

Product ownership

Stakeholder communication

Data modeling

Tools

Snowflake

dbt

Airflow

Airbyte

Python

Job description

As our Data Product Owner, you shape how autoSense builds and uses data, and you set the priorities for our data team. You turn business and partner needs into data products. You're technical enough to review work, prototype ideas, and unblock the team when it matters.

What you'll do

• Own the data team's backlog: prioritise, refine, and run sprint planning
• Work with internal stakeholders (sales, operations, finance, management) to shape requirements into clear, deliverable data products
• Lead and coordinate the work of our internal and external data engineers and developers, keeping priorities aligned and delivery on track
• Own customer-facing data products for our partners and customers, such as dashboards, reporting, and APIs
• Drive a unified approach to data: set standards, and define data models together with engineering and the business
• Stay close to the code: review pull requests, prototype in SQL, and help debug issues across the pipeline

What you bring

• 3+ years in data roles, including at least 1–2 years with product or product-owner responsibility
• A solid understanding of how a modern data platform fits together: ingestion, transformation, orchestration, and presentation
• Hands-on experience with our stack or similar tools: Snowflake, dbt, Airflow, Airbyte, Python
• Strong SQL. You can read a data model and question it.
• Comfort translating between business and engineering, and the confidence to say no
• Fluent English and comfortable with German

Nice to have

• Experience with a BI tool (e.g. Tableau)
• Knowledge of the underlying infrastructure (AWS)
• Experience in e-mobility, energy, or mobility services
• Experience building data products for external customers or partners

About autoSense

autoSense AG is a fast-growing corporate start-up of the AMAG Group and Zurich Insurance, focused on charging solutions for electric vehicles. Our team brings together more than 10 nationalities and works with flat hierarchies on one of the central questions of the mobility transition: how employees and fleets can charge simply, predictably, and fairly – at home and on the road.

What we offer

• Flexible working and home-office options
• Central office in Zurich's Kreis 4 with access to the roof terrace
• A wide variety of lunch options nearby
• Fair compensation and further benefits
• The chance to shape the data foundation of a growing corporate start-up – with short decision paths and a direct line to management