Skip to Main Content

Job Title


Head of Data Engineering & Governance


Company : Data Science Talent


Location : wakefield, yorkshire and the humber


Created : 2025-04-28


Job Type : Full Time


Job Description

Head of Data Engineering & GovernanceInvestment & Wealth ManagementHybrid (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).---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?Its data.This company a trusted name in the UK financial services sector fullyrecognise this. They understand that embracing data and AI is what will continue to position them at the forefront of the UKs investment management sector.This isnt a dalliance with data. Its 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 sectors biggest technology transformations.Theres no debate about the direction, fighting for investment or dragging people with you.Now, following a recent acquisition, theyre ready to embark on the next phase transforming the data and harnessing its power. And thats where you come in.---Where you fit inAs one of three new leaders in the newly established Group Data function, youll 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) its 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, youll 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, wholl 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 youll be shaping decision-making at the highest level.The firms size and flat management structure mean that your impact will be instantly visible here and in the wider financial services industry. Succeed, and theres a clear route to become the firms next Group Data & Analytics Director, with mentorship from the current incumbent.---What youll addYou'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 youve 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.---The working environment Youll 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.---Find Out MoreTo 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.