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, bonuses, flexible working, and comprehensive benefits package.
- Why this job: Shape the future of data in a historic company with visible impact and growth opportunities.
- Qualifications: Proven experience in data engineering/governance, strategic vision, and strong communication skills required.
- Other info: Hybrid role with 3 days remote work and travel across the UK for team collaboration.
The predicted salary is between 120000 - 140000 £ per year.
Investment & Wealth Management
Hybrid (3 days at home with 2 days traveling in the UK)
£120k - £140k basic (DOE) + bonus (10-25%) and benefits (pension, life insurance, healthcare, holidays, & more).
This company – a trusted name in the UK financial services sector – fully recognise that embracing data and AI is what will continue to position them at the forefront of the UK’s investment management sector. They have spent the last four years investing more than £6 million in one of the finance sector’s biggest technology transformations. Following a recent acquisition, they’re ready to embark on the next phase – transforming the data and harnessing its power.
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 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 financial services sector, especially those involved in data governance and engineering. Attend industry events or webinars to make connections that could lead to valuable insights or 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. Emphasise your strategic vision and how you've aligned data initiatives with business goals in previous roles.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and its transformative power in the financial services sector. Mention specific technologies like Snowflake and how your expertise can contribute to the company's goals.
Showcase Leadership Experience: Detail your experience leading teams in complex environments. Provide examples of how you've fostered continuous improvement and developed team members' skills in data engineering or governance.
Highlight 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 through your insights and recommendations.
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 have positively impacted the organisation.
✨Demonstrate Your Leadership Skills
Since you'll be leading multiple teams, share examples of how you've successfully shaped teams in complex environments. Talk about your approach to coaching and developing team members to foster continuous improvement.
✨Communicate Effectively
Practice articulating technical concepts in a way that resonates with both technical experts and executives. Your ability to influence and communicate strategic outcomes will be crucial, so prepare to showcase this skill during the interview.
✨Familiarise Yourself with Relevant Technologies
Brush up on your knowledge of modern data platforms, especially Snowflake, as well as other tools mentioned in the job description like InvestCloud and Power BI. Being able to discuss these technologies confidently will demonstrate your technical expertise.