In this role, you will…
Design and own Supermetrics’ data governance framework — defining the standards, policies, and practices that govern how data is created, classified, and maintained across the business.
Lead the implementation and ongoing operation of our data catalogue (Open Metadata), ensuring every business‑critical data asset is documented and discoverable.
Establish and manage a data stewardship programme — partnering with business domain leads to define data ownership and accountability.
Define data quality standards and SLA’s, working with data owners to improve the overall quality of data consumed, integrated and presented to the wider business.
Contribute to our AI governance agenda — ensuring that AI workflows and models built on our data are grounded in governed, auditable, and well‑documented foundations.
Your Day-to-day Work And Responsibilities Include…
Framework Design: Defining the policies and standards for data creation, classification, and maintenance across the business.
Catalog Management: Leading the evolution of our data catalogue (Open Metadata) to ensure assets are documented and well‑understood.
Data Stewardship: Partnering with business domain leads to define data ownership and ensuring those accountabilities are actively maintained.
Quality & SLAs: Working hands‑on with the Data Platform team to instrument automated quality monitoring across our pipelines (BigQuery, dbt, Elementary).
Compliance Partnership: Partnering with Legal (GDPR) and IT (SOC2) to ensure data handling, retention, and access policies are compliant and audit‑ready.
Clarity & Literacy: Building a company‑wide data dictionary and business glossary while advocating data literacy and governance culture.
Leadership: Establishing and chairing a Data Governance Working Group with cross‑functional representation.
This is for you if you have…
6+ years in data roles, with demonstrable experience designing or implementing data governance frameworks in a cloud‑native environment.
Proven hands‑on experience with data cataloguing and metadata management tools (Open Metadata, Collibra, Alation, DataHub, or equivalent).
Solid working knowledge of GDPR and data compliance obligations in a SaaS or technology company context.
Familiarity with modern data stack components: cloud data warehousing (BigQuery preferred), data transformation (dbt), and pipeline orchestration.
Excellent stakeholder management and communication skills — equally comfortable engaging with engineering teams and senior business leaders.
Structured, process‑oriented approach — able to translate governance principles into practical, enforceable operational standards.
We also appreciate if you have…
Experience in a B2B SaaS or high‑growth technology environment.
Hands‑on experience with data quality tooling such as Elementary, Great Expectations, or Monte Carlo.
Familiarity with AI and ML governance concepts — model lineage, responsible AI frameworks, or bias detection.
CDMP, DAMA, or equivalent data governance certification.
Experience with Snowplow, Airflow, or event‑driven data architectures.
Benefits We Offer…
Competitive compensation package, including equity
Great work equipment
Health care benefit and leisure time insurance
Annual 1000 euros of personal learning budget
Sports and wellbeing allowance
Benefits may vary depending on location.
Supermetrics is committed to providing a welcoming and inclusive workplace for all. We believe that a diverse workforce is a strong workforce, and we are dedicated to creating an environment where everyone feels valued and respected. If you require any reasonable accommodations during the application or interview process, please let us know. All requests for accommodation will be kept confidential.
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