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, committed to data and AI transformation.
- Benefits: Enjoy a competitive salary, bonus, flexible working, and comprehensive benefits package.
- Why this job: Shape the future of data in a historic company with clear growth opportunities.
- Qualifications: Proven experience in data engineering/governance, leadership, and strategic vision required.
- Other info: Hybrid role with 3 days remote work and travel across the UK.
The predicted salary is between 96000 - 108000 ÂŁ per year.
Investment & Wealth Management
Hybrid (3 days at home with 2 days traveling in the UK)
ÂŁ120k - ÂŁ140k basic (DOE) + bonus (10-25%) and benefits (pension, life insurance, healthcare, holidays, & more).
“Money makes the world go round,” they say. Maybe it did back in the early 1900s when our client began to focus solely on wealth management. But now? It’s data. This company – a trusted name in the UK financial services sector – fully recognise this. They understand that embracing data and AI is what will continue to position them at the forefront of the UK’s investment management sector. This isn’t a dalliance with data. It’s a firm commitment. A strategic focus, driven from board level. The company have spent the last four years investing more than £6 million in one of the finance sector’s biggest technology transformations. There’s no debate about the direction, fighting for investment or dragging people with you. Now, following a recent acquisition, they’re ready to embark on the next phase – transforming the data and harnessing 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 the technology in place (InvestCloud, Snowflake, Alteryx, and Power BI) it’s the ideal setting to show 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 process 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 – the department has 19 members with a manager for each area, who’ll look to you for direction and coaching.
- Leading on data engineering to ensure 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, and managing emerging risks.
- Providing strategic insight and recommendations to the COO and leadership team to accelerate data-driven decision-making – you’ll be shaping decision-making at the highest level.
The firm’s size and flat management structure mean that your impact will be instantly visible – here and in 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 and identify emerging trends and opportunities.
- Business acumen – to translate insights into actionable recommendations.
- Experience leading engineering or governance teams in a complex environment – you know how to shape teams and help others develop.
- Communication/influencing skills – you’re equally 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 with the ideal blend of stability and agility – a personal touch often lost in larger corporate environments. The company has a genuinely flexible working policy – typically 3 days a week from home but you will make frequent trips to London (to meet stakeholders and the C-Suite) or Liverpool to spend time with most of your team on the other 2 days.
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
Familiarise yourself with the specific technologies mentioned in the job description, such as Snowflake and Power BI. Being able to discuss your experience with these platforms during interviews will demonstrate your technical expertise and readiness for the role.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've successfully led teams in data engineering or governance. Highlighting your ability to foster a culture of continuous improvement will resonate well with the hiring team.
✨Tip Number 3
Research the company's recent technology transformation and their commitment to data-driven decision-making. Being knowledgeable about their strategic direction will allow you to align your vision with theirs during discussions.
✨Tip Number 4
Prepare to discuss how you can influence and implement AI strategies within the organisation. Given the emphasis on harnessing data's power, showcasing your understanding of AI's role in data governance will set you apart from other candidates.
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: In your cover letter, showcase your leadership skills and provide examples of how you've successfully led teams in complex environments. Mention your technical expertise with platforms like Snowflake to demonstrate your fit for the position.
Highlight Relevant Achievements: When detailing your work experience, focus on specific achievements that illustrate your ability to drive data-driven decision-making and implement governance frameworks. Use metrics where possible to quantify your impact.
Showcase Communication Skills: Since the role requires strong communication and influencing skills, include examples of how you've effectively communicated with both technical teams and executive stakeholders. This will help demonstrate your ability to bridge the gap between technical and strategic discussions.
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 identified trends and opportunities that have positively impacted previous organisations.
✨Demonstrate Leadership Skills
Since you'll be leading multiple teams, share your experiences in shaping and developing teams in complex environments. Discuss your approach to fostering continuous improvement and how you've successfully guided teams through challenges.
✨Communicate Effectively
Practice articulating technical concepts in a way that resonates with both technical experts and executives. Prepare to discuss how you've influenced decision-making at high levels and the importance of clear communication in your previous roles.
✨Familiarise Yourself with Relevant Technologies
Brush up on your knowledge of modern data platforms, especially Snowflake, as well as tools like InvestCloud, Alteryx, and Power BI. Be ready to discuss how you've used these technologies to drive data governance and engineering initiatives.