Head of Data Governance in Edinburgh

Head of Data Governance in Edinburgh

Edinburgh Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Baillie Gifford

At a Glance

  • Tasks: Lead and evolve the firm's data governance framework, ensuring effective data management and compliance.
  • Company: Join Baillie Gifford, a leader in financial services with a commitment to data excellence.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Other info: Be part of a diverse team that values collaboration and continuous improvement.
  • Why this job: Make a significant impact on data governance and drive innovation in a dynamic environment.
  • Qualifications: Extensive experience in data governance and strong leadership skills required.

The predicted salary is between 80000 - 100000 £ per year.

The Head of Data Governance leads Baillie Gifford's firmwide Data Governance function and is responsible for defining, implementing and embedding the firm's data governance framework, standards and control expectations. The role provides leadership on data ownership, stewardship, definitions, metadata, lineage, data quality, controls, decision rights, privacy, retention and ethical use. It provides oversight, challenge and monitoring of adherence to data governance standards, while business areas remain accountable for executing data controls. The role reports to the Head of Data, is part of the Data Services Leadership Group and Data Strategy Group, and chairs the Data Governance Group. The role will ensure Baillie Gifford has a clear, practical and effective framework for how data is owned, defined, controlled, protected and used across the firm. The role strengthens data governance maturity by setting standards, supporting adoption, monitoring adherence and providing independent challenge where risks, control gaps or ownership issues arise.

Responsibilities

  • Own and evolve the firmwide Data Governance framework, including policies, standards, principles, roles, accountabilities, decision rights, mandatory controls and escalation routes.
  • Define the target operating model for data governance, including federated ownership through data owners, stewards and subject matter experts.
  • Establish expectations for data ownership, stewardship, definitions, metadata, lineage, data quality, privacy, retention, ethical use and control evidence.
  • Through monitoring, provide independent oversight and challenge of adherence to governance standards (including AI data use), ensuring business areas effectively discharge their data ownership and control responsibilities.
  • Own the Data Governance Control Framework, including control objectives, assurance expectations, data quality measures, KPIs and KRIs.
  • Chair the Data Governance Group providing clear, insight‐led reporting to the Data Strategy Group, Data Services Leadership Group and other senior forums.
  • Translate complex data governance, regulatory and control topics into business‐relevant insight, risk, client impact and decision points.
  • Build strong relationships with senior stakeholders within Technology, Data Architecture, Data Management, Risk, Compliance, Legal and Information Security, in addition to data owners and stewards.
  • Develop and lead a data governance community, championing accountability, data literacy, consistent language and adoption of standards.
  • Embed data governance into change activity, ensuring initiatives consider data requirements early.
  • Provide advice and challenge on data governance and risk implications of AI and advanced analytics usage, major change, platform transformation and supplier arrangements.
  • Lead, coach and develop Data Governance team members, promoting continuous improvement and measurable uplift in governance maturity.

Qualifications

  • Relevant professional qualification or certification, such as DAMA CDMP or IAPP AIGP, or a relevant risk, compliance, audit or data management qualification.
  • Strong experience in data governance, information governance, data management, risk, controls or related senior leadership roles.
  • Proven experience defining and embedding governance frameworks, operating models, policies, standards and control expectations.
  • Strong understanding of data ownership, stewardship, metadata, lineage, data quality, decision rights, control frameworks and governance tooling.
  • Experience operating in regulated financial services, with awareness of operational resilience, privacy, security, auditability and responsible data use.
  • Ability to provide independent challenge to senior stakeholders while maintaining constructive relationships.
  • Strong communication skills, with the ability to translate complex data, regulatory and technical matters into clear business impact.
  • Experience supporting enterprise‐wide transformation, major change or platform‐related programmes.
  • Strong people leadership skills, including coaching, prioritisation, delegation and performance management.

The type of candidate that we're looking for:

We are looking for a highly experienced data governance leader who can operate confidently at senior levels, with the judgement and conviction to influence and constructively challenge stakeholders across the firm. The successful candidate will have experience embedding governance frameworks and control expectations in a regulated environment, translating data risk and regulatory matters into practical business action, while building trusted relationships, developing capability of the team and supporting future data needs, including AI and advanced analytics.

Critical Skills

  • Nurture relationships
  • Adaptability
  • Data Literacy
  • Improvement mindset
  • Storytelling

Closing Date July 14, 2026

We are committed to fostering an inclusive and respectful culture in which each of our colleagues can thrive and develop. We believe that our clients are best served by a diverse workforce with the experiences, ideas and perspectives that this brings.

Head of Data Governance in Edinburgh employer: Baillie Gifford

Baillie Gifford is an exceptional employer, offering a dynamic work environment that prioritises data governance and ethical practices. With a strong commitment to employee growth, the company fosters a culture of inclusivity and continuous improvement, providing opportunities for professional development and leadership within the Data Governance team. Located in a vibrant financial services hub, employees benefit from engaging with senior stakeholders and contributing to impactful data strategies that shape the future of the firm.

Baillie Gifford

Contact Details:

Baillie Gifford Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Head of Data Governance in Edinburgh

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Baillie Gifford!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Head of Data Governance at Baillie Gifford.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Baillie Gifford.

Apply Directly through Our Website

When you find a suitable opening like Head of Data Governance at Baillie Gifford, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Head of Data Governance in Edinburgh

Communication Skills
Data Governance
Problem-Solving Skills
Attention to Detail
Automation
SQL
Data Engineering

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Baillie Gifford, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Baillie Gifford. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Baillie Gifford

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Baillie Gifford!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.