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- 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 firm with visible impact and growth opportunities.
- Qualifications: Proven experience in data engineering/governance, leadership skills, and technical expertise in Snowflake.
- Other info: Hybrid role with 3 days remote work and travel across the UK.
The predicted salary is between 100800 - 116800 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.
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.
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 data platforms mentioned in the job description, such as Snowflake and Power BI. Having hands-on experience or relevant certifications can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the investment and wealth management sector, especially those involved in data governance and engineering. Attend industry events or webinars to make connections that could lead to referrals.
✨Tip Number 3
Prepare to discuss your strategic vision for data governance and architecture during interviews. Think about how you would align data initiatives with business goals and be ready to share examples from your past experiences.
✨Tip Number 4
Showcase your leadership skills by highlighting any experience you have in managing teams or projects. Be prepared to discuss how you foster collaboration and continuous improvement within your teams.
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. Focus on specific achievements that align with the job description, such as leading teams or implementing data governance frameworks.
Craft a Compelling Cover Letter: Write a cover letter that showcases your strategic vision and business acumen. Explain how your skills can help the company achieve its data-driven goals and mention your familiarity with relevant technologies like Snowflake.
Highlight Leadership Experience: Emphasise your experience in leading engineering or governance teams. Provide examples of how you've shaped teams and fostered continuous improvement, as this is crucial for the role.
Showcase Communication Skills: Demonstrate your ability to communicate effectively with both technical experts and executives. Include examples of how you've influenced decision-making at a high level, as this will be key in your application.
How to prepare for a job interview at Data Science Talent
✨Showcase Your Strategic Vision
Be prepared to discuss how you can align data engineering with business goals. Highlight any past experiences where you've identified emerging trends and opportunities that benefited your previous employers.
✨Demonstrate Your Leadership Skills
Since you'll be leading multiple teams, share specific examples of how you've successfully shaped teams in complex environments. Talk about your approach to coaching and developing team members.
✨Communicate Effectively
Practice explaining technical concepts in a way that non-technical stakeholders can understand. You’ll need to demonstrate your ability to influence decisions at the executive level, so prepare for questions that test your communication skills.
✨Familiarise Yourself with Relevant Technologies
Brush up on your knowledge of modern data platforms, especially Snowflake. Be ready to discuss how you've used these technologies in the past and how they can be leveraged to improve data governance and architecture.
