At a Glance
- Tasks: Lead data engineering and governance teams to drive innovation and optimise processes.
- Company: Join a trusted name in UK financial services with a rich 300-year heritage.
- Benefits: Enjoy hybrid working, flexible hours, and a clear path to leadership roles.
- Why this job: Make an immediate impact in a dynamic environment focused on data-driven decision-making.
- Qualifications: Proven experience in data engineering/governance and strong communication skills required.
- Other info: Mentorship opportunities available for career growth within the company.
The predicted salary is between 43200 - 72000 £ per year.
This company – a trusted name in the UK financial services sector – fully recognises the importance of embracing data and AI to maintain their leadership in the UK’s investment management sector. They have invested over £6 million in a significant technology transformation over the past four years. Following a recent acquisition, they’re ready to transform their data and harness its power, and that’s where you come in.
As one of three new leaders in the newly established Group Data function, you’ll shape the direction, set the standards, and build the capabilities that will define the data-driven future of a business with a 300-year heritage. With a clear plan and technology in place (InvestCloud, Snowflake, Alteryx, and Power BI), you can demonstrate how your data leadership skills can transform business performance and client outcomes. Reporting to the Group Data & Analytics Director and responsible for three teams of technical specialists, you’ll foster a culture where analytics drives innovation, including:
- Developing the strategy for data governance and architecture, optimising processes, and finding efficiencies – this includes huge scope to help influence and implement AI strategy.
- Leading and growing three teams, fostering continuous improvement: Data Engineering & Architecture, Data Quality & Governance, and Data Support.
- Ensuring high-quality, accessible data; designing and protecting data pipelines (e.g. Snowflake).
- Implementing data governance frameworks, ensuring regulatory and security compliance; embedding the principles across the business.
- Providing strategic insight and recommendations to the COO and leadership team to accelerate data-driven decision-making.
Your impact will be instantly visible within the firm and the wider financial services industry. Succeed, and there’s a clear route to become the firm’s next Group Data & Analytics Director, with mentorship from the current incumbent.
You're a business leader who specialises in data engineering and/or data governance. Your CV includes as many of the following as possible:
- Strategic vision – you’ve shown you can align data engineering with business goals.
- Business acumen – to translate insights into actionable recommendations.
- Experience leading engineering or governance teams in a complex environment.
- Communication/influencing skills – comfortable discussing details with technical experts or strategic outcomes with executives.
- Technical expertise with modern data platforms, particularly Snowflake.
- A collaborative approach to working across organisational boundaries.
You’ll be part of an established financial services business that blends stability and agility – offering a personal touch often lost in larger corporate environments. The company has a genuinely flexible working policy – typically 3 days a week from home with frequent trips to London or Liverpool to meet stakeholders and team members.
To play a key part in data-driven change and start transforming your career, talk to Elliott Pointon at Data Science Talent by clicking the 'Easy Apply' button.
Head of Data Engineering & Governance employer: Data Science Talent
Contact Detail:
Data Science Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering & Governance
✨Tip Number 1
Make sure to connect with Elliott Pointon on LinkedIn before applying. A direct message can help you stand out and show your genuine interest in the role, plus it gives you a chance to ask any specific questions about the position.
✨Tip Number 2
Research the company’s recent technology transformation and their use of platforms like Snowflake and Alteryx. Being able to discuss these technologies in your conversations will demonstrate your knowledge and enthusiasm for the role.
✨Tip Number 3
Prepare to showcase your leadership experience in data engineering or governance during interviews. Think of specific examples where you've successfully aligned data strategies with business goals, as this is crucial for the role.
✨Tip Number 4
Familiarise yourself with the principles of data governance and compliance, especially in the financial services sector. This knowledge will be invaluable when discussing how you can implement effective frameworks within the company.
We think you need these skills to ace Head of Data Engineering & Governance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and governance. Emphasise your strategic vision and how you've aligned data initiatives with business goals, as this is crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your leadership skills and experience in managing teams. Discuss specific examples of how you've driven data transformation and improved business performance in previous roles.
Highlight Technical Expertise: Clearly outline your technical skills, especially with modern data platforms like Snowflake. Mention any relevant projects or achievements that demonstrate your ability to implement data governance frameworks and ensure compliance.
Showcase Communication Skills: In your application, provide examples of how you've effectively communicated complex data insights to both technical teams and executive stakeholders. This will demonstrate your ability to influence decision-making at all levels.
How to prepare for a job interview at Data Science Talent
✨Showcase Your Strategic Vision
Be prepared to discuss how your experience aligns data engineering with business goals. Highlight specific examples where you've successfully implemented strategies that drove business performance and client outcomes.
✨Demonstrate Technical Expertise
Familiarise yourself with the technologies mentioned in the job description, particularly Snowflake, InvestCloud, Alteryx, and Power BI. Be ready to explain how you've used these tools in previous roles to optimise data processes and governance.
✨Communicate Effectively
Practice articulating complex technical concepts in a way that is understandable to non-technical stakeholders. This role requires strong communication skills, so be prepared to discuss how you've influenced decisions at an executive level.
✨Emphasise Collaboration
Highlight your experience working across different teams and departments. Discuss how you foster collaboration and continuous improvement within your teams, as this will be crucial for leading the three teams mentioned in the job description.