Head of Data Engineering & Governance

Data Science Talent
Nottingham
9 months ago
Applications closed

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Head of Data Engineering & Governance

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).


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“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.


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Where you fit 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.


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What you’ll add


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.


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The working environment


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.


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Find Out More


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.

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