At a Glance
- Tasks: Lead the design and implementation of data governance frameworks for high-quality data management.
- Company: Secure Trust Bank, a purpose-driven organisation with a collaborative culture.
- Benefits: Competitive salary, annual bonus, 25 days leave, wellbeing hour, and flexible benefits.
- Other info: Opportunities for professional development and career progression in a dynamic setting.
- Why this job: Make a real impact in a regulated environment while driving data governance innovation.
- Qualifications: Experience in data governance, strong stakeholder management, and familiarity with modern data platforms.
The predicted salary is between 70000 - 90000 £ per year.
Location: Solihull (with hybrid working)
Salary: £62,000 + annual bonus
Hours: 35 per week
Why Join Us?
- A competitive salary and benefits package including discretionary bonus
- Matched pension contributions
- 25 days annual leave plus bank holidays and your birthday off, on us!
- A wellbeing hour to spend doing whatever makes you happy
- A wide range of flexible benefits from Cycle2Work to private healthcare
- Life assurance
- Paid volunteering days and matched charity fundraising
- A collaborative and flexible working environment
- Opportunities for professional development and career progression
- A chance to make a real impact in a regulated, purpose-driven organisation
What you’ll be doing
- Design and embed Secure Trust Bank’s enterprise-wide Data Governance capability.
- Establish robust frameworks, operating models, and controls to ensure the creation of trusted, high-quality data.
- Drive the integration of governance across the organisation, aligning closely with the Enterprise Data Platform and Data Product strategy.
Responsibilities
- Establish and maintain an enterprise-wide Data Governance framework, including policies, standards, and processes.
- Define and implement the Data Governance operating model, including governance forums and decision-making structures.
- Embed clear data ownership and accountability across all data domains.
- Develop and deliver a comprehensive Data Quality framework, incorporating rules, thresholds, monitoring, and issue resolution processes.
- Define and implement capabilities for metadata management, data lineage, and data cataloguing.
- Establish robust governance frameworks for data access, classification, and role-based access control (RBAC).
- Develop governance metrics and reporting to enable effective oversight and continuous improvement.
- Collaborate with platform and engineering teams to embed governance within data products and data pipelines.
- Lead the selection and implementation of governance tooling (e.g., Microsoft Purview, Unity Catalog).
- Drive training, adoption, and cultural change to embed Data Governance across the organisation.
What we’re looking for
- Demonstrable experience establishing Data Governance capabilities from the ground up.
- Proven track record working within regulated environments, translating regulatory and risk requirements into practical data governance controls.
- Experience embedding Data Governance within modern data platforms and engineering delivery models.
- Strong experience implementing Data Quality, metadata, and data lineage frameworks.
- Experience defining and delivering operating models and governance structures.
- Familiarity with modern data platforms (e.g. Azure, Databricks).
- Background within financial services or other regulated industries (preferred).
- Strong stakeholder management skills, with the ability to influence at senior levels.
- Proven ability to drive organisational change and engagement.
- Delivery-focused mindset, with a structured and pragmatic approach to execution.
- Ability to translate strategic objectives into scalable, operational capabilities.
- Certified Data Management Professional - CDMP – DAMA or equivalent experience (preferred).
- Data Governance & Stewardship Professional - DGSP or similar certifications (desirable).
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise Data Governance Lead in England
✨Get Involved in Data Science Meetups
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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 Secure Trust Bank PLC..
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We think you need these skills to ace Enterprise Data Governance Lead in England
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 Secure Trust Bank PLC., 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 Secure Trust Bank PLC.. 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 Secure Trust Bank PLC.
✨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 Secure Trust Bank PLC.!
✨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.