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Supermetrics

Data Governance Lead

Supermetrics · Dublin, County Dublin, Ireland

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  • Hybrid
  • Full-time
  • €100,000 / year
  • Dublin, County Dublin, Ireland

Job highlights

  • Design and own data governance framework.
  • Lead data catalog implementation and operation.
  • Establish data stewardship program.
  • Define data quality standards and SLAs.
  • Contribute to AI governance initiatives.

About the role

About the Role

Data is our entire value proposition—join us to build out the governance structures to support 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. 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. Hear why our team likes it here at https://supermetrics.com/careers/life-at-supermetrics 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 do not hesitate to let us know. All requests for accommodation will be kept confidential. Join us on our mission to make data a marketing superpower Supermetrics builds an end-to-end marketing intelligence platform, with 15% of global advertising spend reported through our products. We help marketers turn their data into insights that improve business results and predict the best next step. Our technology streamlines marketing data for over 200,000 businesses through a network of agencies and customers like Shopify, HubSpot, and Nestlé. Since our founding in 2013, we’ve grown from a one-person shop to a key player in the industry—and we’re just getting started! We're a team of 400+ growth-minded people from diverse backgrounds. Together, we make a multicultural, resourceful, and collaborative team. Supermetrics operates on trust, transparency, and a keen customer focus. Forward-looking and action-oriented, we work hard to raise the bar in our industry. As team players, we help each other and win together. We're hiring for a diverse, skilled, and collaborative team and building an inclusive workplace where everyone is treated fairly and respectfully. 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. It all started with a Google t-shirt... Read the rest of our growth story at supermetrics.com/about. Key skills/competency
  • Data Governance
  • Data Strategy
  • Data Catalog
  • Metadata Management
  • Data Stewardship
  • Data Quality
  • GDPR
  • SaaS
  • BigQuery
  • dbt

Skills & topics

  • Data Governance Lead
  • Data Governance
  • Data Strategy
  • Data Catalog
  • Metadata Management
  • Data Stewardship
  • Data Quality
  • GDPR
  • SaaS
  • BigQuery
  • dbt
  • Open Metadata
  • Helsinki
  • Dublin
  • Data Management

How to get hired

  • Tailor your resume: Highlight your 6+ years in data roles and experience with data governance frameworks, data cataloging tools (like Open Metadata), and cloud-native environments.
  • Showcase relevant skills: Emphasize your knowledge of GDPR, modern data stack components (BigQuery, dbt), and stakeholder management.
  • Address the 'appreciated' skills: If applicable, mention experience in B2B SaaS, data quality tooling, AI/ML governance, or certifications like CDMP.
  • Craft a compelling cover letter: Clearly articulate why your structured, process-oriented approach makes you the ideal Data Governance Lead for Supermetrics' mission.
  • Prepare for interviews: Be ready to discuss your experience designing governance frameworks and implementing data catalog solutions.

Technical preparation

Master data cataloging tools (Open Metadata preferred).,Understand data warehousing (BigQuery) and transformation (dbt).,Familiarize yourself with data quality tooling.,Review GDPR and SaaS compliance obligations.

Behavioral questions

Describe designing a data governance framework.,How do you manage stakeholders in data projects?,Explain your approach to data stewardship.,How would you foster a data governance culture?

Frequently asked questions

What are the main responsibilities of a Data Governance Lead at Supermetrics?
As a Data Governance Lead at Supermetrics, your primary responsibilities include designing and owning the company's data governance framework, leading the implementation and operation of the data catalog (Open Metadata), establishing a data stewardship program, defining data quality standards, and contributing to the AI governance agenda.
What specific data tools and technologies are important for this Data Governance Lead role?
The role requires hands-on experience with data cataloguing and metadata management tools such as Open Metadata, Collibra, or Alation. Familiarity with modern data stack components like BigQuery, dbt, and pipeline orchestration is also essential. Experience with data quality tools like Elementary is a plus.
Does Supermetrics require specific certifications for the Data Governance Lead position?
While not strictly required, Supermetrics appreciates candidates with certifications such as CDMP, DAMA, or equivalent data governance certifications. The focus is more on demonstrated experience and practical application of data governance principles.
What is the expected experience level for the Data Governance Lead role at Supermetrics?
Supermetrics is looking for candidates with at least 6 years of experience in data roles, specifically with demonstrable experience in designing or implementing data governance frameworks in a cloud-native environment.
How does Supermetrics approach data governance and AI governance?
Supermetrics views data as its core value proposition. The company is building out governance structures to support its data strategy and intelligence initiatives. This includes a focus on AI governance, ensuring AI workflows and models are grounded in governed, auditable, and well-documented foundations.
What are the key benefits offered to employees at Supermetrics?
Supermetrics offers a competitive compensation package including equity, great work equipment, health care and leisure time insurance, an annual personal learning budget of 1000 euros, and a sports and wellbeing allowance. Benefits may vary by location.
Is this Data Governance Lead position remote, hybrid, or on-site?
The Data Governance Lead role is based in either the Helsinki or Dublin office, indicating an on-site or potentially hybrid work arrangement depending on specific team policies and location.
What kind of data quality initiatives will the Data Governance Lead be involved in?
The Data Governance Lead will define data quality standards and Service Level Agreements (SLAs). They will work with data owners to improve data quality and collaborate with the Data Platform team to implement automated quality monitoring across data pipelines using tools like BigQuery, dbt, and Elementary.