Data Product Owner: Shape Data & Dashboards for Mobility

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

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.