Product Manager – Data Platform (F/M/D)
NavVis
| Company | NavVis |
| Category | Uncategorised |
| Location | Munich Hybrid (NavVis GmbH) |
| Remote | Hybrid |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 8 May 2026 |
| Last verified | 5 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
OUR VISION
When people use our technology to "bridge the gap" between the physical and digital worlds, they don’t just capture reality - they create a new one. In this new reality, they are smarter, more productive, more streamlined, and more creative - because they have the digital foundation to build the world they want to live in.
That’s what NavVis offers in all our products and services: the tools to not just map the world as it is, but to pave the way to a better future. To forge something new. Physical or digital, there is only one reality. And it’s the reality NavVis empowers people to build better.
THE OPPORTUNITY
Does owning and scaling an internal data and analytics platform that powers decision-making across the organization appeal to you?
In this role, you will lead the evolution of our internal data and analytics platform — from both a technical and product perspective. You will work closely with Product, Engineering, and business stakeholders to define priorities, shape the platform roadmap, and ensure teams have reliable, trustworthy data to make informed decisions.
This is a player-coach role combining leadership, platform ownership, and hands-on execution. You will guide and coordinate a small team of data engineers whil e remaining deeply involved in pipeline design, data modeling, source integrations, and analytics delivery. You will help define how the organization uses data today and build the foundation for how it will use data in the future.
HOW YOU WILL MAKE AN IMPACT
Own data quality standards, metric definitions, and data contracts to ensure reliable and trustworthy data
Guide and coordinate a small data engineering team, providing technical guidance, test data integrat ion, and day-to-day direction
Design and contribute hands-on to ELT pipelines, data models, and source integrations across the platform
Drive the ongoing Databricks migration from both a technical and product perspective
Own the platform roadmap and OKRs in collaboration with senior leadership
Gather and prioritize requirements from stakeholders across Product, Engineering, and the business and translate business needs into platform improvements, pipeline initiatives, dashboards, and analytics outputs
Establish and manage a clear intake and prioritization process for platform and analytics requests
Drive platform adoption through documentation, demos, and enablement activities
WHAT WILL HELP YOU SUCCEED IN THE ROLE
5+ years of experience in data engineering, analytics engineering, data platform ownership, or related technical leadership roles
Experience leading or mentoring small en gineering or analytics teams in a hands-on environment
Strong SQL skills and practical experience designing and maintaining ELT pipelines and data models
Experience working with modern data platforms and warehouses, including Databricks and related tooling
Hands-on experience with source integrations, orchestration workflows, and data quality management
Experience building dashboards, analytics outputs, and data solutions for diverse technical and business stakeholders
Strong product and platform mindset with the ability to prioritize based on impact, usability, and stakeholder value
Strong communication skills with the ability to explain technical concepts, trade-offs, and priorities clearly
Fluency in English as it is our official language of communication across the company
HOW WE WILL KNOW WE ARE A PERFECT MATCH
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