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Data is our entire value proposition—join us to build out the governance structures to support the next for the next generation of intelligence at Supermetrics. We’re looking for a Data Governance Lead to join our Data Strategy team in Helsinki or Dublin office.
Job Responsibility:
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
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
Requirements:
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
Nice to 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
What we offer:
Competitive compensation package, including equity