At a Glance
- Tasks: Lead data governance initiatives and design risk-based prioritisation methodologies.
- Company: A leading financial services organisation with a focus on engineering-led projects.
- Benefits: Competitive daily rate, hybrid working, and opportunities for professional growth.
- Other info: Join a collaborative team and enhance your career in a highly regulated industry.
- Why this job: Make a real impact in data governance within a dynamic, regulated environment.
- Qualifications: Experience in data governance and strong stakeholder management skills required.
A leading financial services organisation is hiring an experienced Data Governance Lead to support a critical, engineering-led initiative. This role will focus on designing and delivering a risk-based data prioritisation methodology for engineering data and records, ensuring alignment with regulatory requirements, internal policies, and business priorities. Working across engineering, data, and risk teams, you will play a key role in defining how critical data is identified, prioritised, and governed, and in developing a clear roadmap to achieve compliance and improve data governance maturity. This is a hands-on delivery role, requiring someone who has successfully implemented similar frameworks in complex, regulated environments.
Details
- Location - London
- Hybrid - 3 days / week in the office
- Duration - Initial 6 months
- Rate - £750 - £900 / day Inside IR35 via Umbrella
Key Responsibilities
- Design and implement a risk-based data prioritisation methodology, including scoring criteria aligned to business value, risk, and regulatory exposure.
- Adapt existing enterprise data governance policies to the engineering environment.
- Engage with senior stakeholders across engineering, data, and risk to drive alignment and secure buy-in.
- Apply the methodology to identify and prioritise critical engineering datasets and records.
- Develop a pragmatic roadmap and implementation plan to achieve data conformance.
- Support identification of data and record ownership where required.
- Ensure outputs are practical, scalable, and embedded into engineering workflows.
Experience Required
- Proven experience in data governance, data management, or data strategy delivery roles.
- Demonstrable experience building and applying data prioritisation frameworks, methodologies, or operating models.
- Experience working closely with engineering or technology teams.
- Strong understanding of risk, regulatory, and compliance-driven data environments.
- Background in financial services or another highly regulated industry.
- Excellent stakeholder management skills, with the ability to influence senior technical and business stakeholders.
- Track record of delivering practical, implementable outcomes, not just high-level strategy.
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
Data Governance Lead - Engineering Priority Data in London employer: Hays Technology
As a leading financial services organisation, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and development. Our London-based team enjoys a hybrid working model, allowing for flexibility while collaborating with talented professionals across engineering and data sectors. With a strong focus on compliance and innovation, we offer our employees the opportunity to make a meaningful impact in a highly regulated environment, supported by competitive rates and a commitment to professional advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Governance Lead - Engineering Priority Data in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector, especially those in data governance or engineering roles. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of risk-based data prioritisation methodologies. Be ready to discuss how you've implemented similar frameworks in the past and how you can bring that experience to the table.
✨Tip Number 3
Showcase your stakeholder management skills! During interviews, share specific examples of how you've influenced senior stakeholders in previous roles. This will demonstrate your ability to drive alignment across teams.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for talented individuals like you to join our team.
We think you need these skills to ace Data Governance Lead - Engineering Priority Data in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Governance Lead role. Highlight your experience in data governance and any frameworks you've implemented, especially in regulated environments. We want to see how your skills align with the job description!
Showcase Stakeholder Management:Since this role involves engaging with senior stakeholders, don’t forget to showcase your stakeholder management skills. Share examples of how you've influenced decision-making in past roles. We love seeing practical outcomes!
Be Clear and Concise:When writing your application, keep it clear and concise. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication that gets to the point!
Apply Through Our Website:Finally, make sure to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Hays Technology
✨Know Your Data Governance Inside Out
Make sure you brush up on your data governance knowledge, especially in relation to risk-based prioritisation methodologies. Be ready to discuss how you've implemented similar frameworks in the past and how they align with regulatory requirements.
✨Engage with Stakeholders
Prepare to talk about your experience working with senior stakeholders. Think of examples where you've successfully influenced decision-making or secured buy-in for data governance initiatives. This will show that you can navigate complex environments effectively.
✨Showcase Your Practical Experience
Highlight specific instances where you've delivered practical outcomes in data governance. Discuss how you've adapted policies to fit engineering environments and the tangible results of your efforts. This will demonstrate your hands-on approach.
✨Prepare a Roadmap
Be ready to outline a pragmatic roadmap for achieving data conformance. Think about how you would approach identifying and prioritising critical datasets and records, and be prepared to share your thought process during the interview.
