Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Director, Head of Data Architecture, UK Deloitte Data Office

Deloitte LLP
Edinburgh
22 hours ago
Create job alert

Birmingham, Bristol, Cambridge, Cardiff, Edinburgh, Gatwick, Glasgow, Leeds, Manchester, Milton Keynes, Newcastle, Reading


Business Line

Enabling Functions


Job Type

Permanent / FTC


Date published

25-Nov-2025


Connect to your Industry

The Deloitte UK Data Office is at the heart of our data strategy, driving the firm's ambition to harness the power of data for insightful decision-making and innovative solutions. We are responsible for establishing robust data governance frameworks, ensuring data integrity, and fostering a data-driven culture across the organisation.


In an era where data fuels every algorithm and machine learning model, our work is foundational to Deloitte's advancements in Artificial Intelligence (AI), including cutting-edge Generative AI (GenAI) and Agentic AI initiatives.


We ensure that Deloitte's data is a trusted asset, enabling informed strategies and operational excellence across all our businesses and Enabling Functions.


The Data Office not only ensures that data in the firm flows through the Deloitte Data Lifecycle, but that it does so with high levels of compliance and optimisation, so that the firm gets ever increasing value from its data assets. This enables us to:



  • More easily meet our client and regulatory obligations.
  • Reuse our knowledge - leverage what we know, and increase the pool of accessible, meaningful, re-usable data.
  • Empower our practitioners through data - make high quality data available to practitioners when they want, provisioned in a secure, fit for purpose manner.
  • Align globally, within NSE and across UK firm.

Connect to your career at Deloitte

Deloitte drives progress. Using our vast range of expertise, we help our clients' become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more.


What brings us all together at Deloitte? It’s how we approach the thousands of decisions we make every day. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, wherever we are in the world, we lead the way, serve with integrity, take care of each other, foster inclusion, and collaborate for measurable impact. These five shared values lead every decision we make and action we take, guiding us to deliver impact how and where it matters most.


Connect to your opportunity

As a Director, Head of Data Architecture, you will lead the strategic design, development, and implementation of our enterprise data architecture. This critical leadership role will be instrumental in driving various transformation programmes, with a particular focus on building a robust, scalable, and secure data foundation that explicitly supports advanced analytics, machine learning, Generative AI, and Agentic AI initiatives.


As a data leader, you will play a pivotal role in helping internal (Enabling Functions) and business-facing teams (our lines of business) in unlocking the strategic value of their data, leveraging both the analytical power of traditional AI and the creative potential of GenAI/Agentic AI.


The successful candidate will collaborate with data architecture professionals across NSE and Global, championing innovation, best practices, and data-driven decision-making across the organisation.


You will be the driving force behind creation of the UK firm’s data platform and ensuring it is aligned with NSE and Global data strategy.


You will be supporting the Chief Data Officer in enabling our businesses to build a vision around usage of data, turning it into strategic business asset, and using it as a tool for generating value/business growth, risk management, and regulatory/statutory compliance.


Key Responsibilities

Strategic Data Architecture Leadership:



  • Define, communicate, and continuously evolve the enterprise data architecture strategy, principles, standards, and roadmap, ensuring alignment with overall business objectives, business transformation goals, and emerging AI strategies.
  • Translate business requirements and digital transformation objectives into comprehensive and actionable data architecture designs.
  • Provide expert guidance and thought leadership on data architecture best practices, emerging technologies, and industry trends, particularly in the context of AI/ML and Generative AI.
  • Lead the design of conceptual, logical, and physical data models across various data domains, ensuring consistency, integrity, and interoperability across the enterprise.
  • Oversee the selection, evaluation, and implementation of cutting-edge data technologies, including cloud data platforms (e.g., AWS, Azure, GCP), data lakes, data warehouses, data meshes, data streaming solutions, and ETL/ELT tools.
  • Develop and implement sophisticated data integration strategies to connect diverse data sources, including legacy systems, new digital channels, and third‑party APIs, ensuring seamless and secure data flow.
  • Ensure the data architecture is designed for optimal scalability, performance, security, resilience, and cost‑efficiency to support the increasing volume, velocity, and variety of data generated by digital and AI initiatives.
  • Collaborate with AI/ML engineering teams to establish robust MLOps (Machine Learning Operations) practices from a data architecture perspective, ensuring seamless deployment and monitoring of AI models.
  • Build, mentor, and lead a high‑performing team of Data Architecture Analysts, fostering a culture of innovation, continuous learning, and technical excellence.
  • Provide strong technical leadership, guidance, and oversight to the data architecture team, ensuring adherence to architectural standards, best practices, and strategic objectives.
  • Manage resource allocation, performance reviews, and professional development for the team, including upskilling in AI‑specific data architecture patterns.

Collaboration & Stakeholder Management:



  • Collaborate closely with the UK Chief Data Officer and other senior stakeholders to ensure data architecture supports strategic business outcomes.
  • Work with Enterprise Architects, Solution Architects, and IT teams across NSE and Global, to ensure data architecture is seamlessly integrated into the overall enterprise technology landscape.
  • Engage proactively with business units to understand their data needs and translate them into innovative architectural solutions that drive significant business value.
  • Manage relationships with key technology vendors and external partners, staying abreast of market developments relevant to data and AI.

Governance & Compliance:



  • Establish and enforce robust data architecture governance processes, ensuring compliance with data quality, security, privacy (e.g., GDPR), ethical AI data use, and regulatory requirements.
  • Ensure comprehensive and up‑to‑date documentation of data architecture designs, standards, and processes, including those specific to AI data pipelines.
  • Champion data savviness and responsible data practices across the organisation.

Connect to your skills and professional experience

  • Extensive experience (typically 12+ years) in data architecture, with a significant portion in a leadership or senior architectural role within a large, complex organisation.
  • Proven track record of successfully designing and implementing enterprise‑scale data architectures that support business transformation and advanced analytics/AI initiatives.
  • Deep expertise in various data architectural patterns (e.g., data warehousing, data lakes, data meshes, data fabrics) and advanced data modelling techniques.
  • Strong hands‑on experience with cloud data platforms (e.g., AWS, Azure, GCP) and their associated data services (e.g., S3, ADLS, BigQuery, Snowflake, Databricks).
  • Proficiency in database technologies (relational, NoSQL, graph databases), ETL/ELT tools, data streaming technologies (e.g., Kafka), and API design for data access.
  • Demonstrable experience in designing data architectures to support Machine Learning, Generative AI, and Agentic AI applications, including familiarity with vector databases, large language models (LLMs), and AI data pipelines.
  • Solid understanding of data governance, data quality, data security, and ethical AI principles.
  • Exceptional leadership, communication, and interpersonal skills, with the ability to influence, negotiate, and engage stakeholders at all levels.
  • Experience in the professional services or financial services sector.
  • Familiarity with agile development methodologies and DevOps/DataOps practices.
  • Relevant industry certifications (e.g., TOGAF, cloud architecture certifications, AI/ML specialisations).
  • Experience with Master Data Management (MDM) and Metadata Management solutions.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related quantitative field.

Connect to your business - Enabling Functions

We bring together capabilities and best practices from around the globe to deliver relationship development activities, marketing and corporate affairs, whilst our operations team is focused on ensuring we’re constantly improving what we do.


Personal independence

Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to a number of audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints (e.g., in relation to any financial interests and employment relationships). This can mean that you and your “Immediate Family Members” are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm, and also prohibitions on certain employment relationships (e.g., you are not permitted to hold a secondary employment role with SEC audit clients of the firm whilst being employed by the firm). The recruitment team will provide further detail as you progress through the recruitment process, or you can contact the Independence team upon request.


Connect with your colleagues

“The scale and range of projects you get to work on, because of Deloitte’s capability across all industries and clients, is why I would recommend a career here.”
-Jeremy, Enabling Functions


Our hybrid working policy

You’ll be based in one of our UK office regional locations with hybrid working.


At Deloitte we understand the importance of balancing your career alongside your home life. That’s why we’ll support you to work flexibly through our hybrid working policy. Depending on the requirements of your role, you’ll have the opportunity to work in your local office, virtual collaboration spaces, client sites and remotely. You’ll get the chance to meet face to face when needed, while you collaborate and learn from colleagues, share your experiences, and build the relationships that will fuel your career and prioritise your wellbeing. Please check with your recruiter for the specific working requirements that may apply for your role.


Our commitment to you

Making an impact is more than just what we do: it’s why we’re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.


We want you. The true you. Your own strengths, perspective and personality. So we’re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we’ll take your wellbeing seriously, too. Because it’s only when you’re comfortable and at your best that you can make the kind of impact you, and we, live for.


Your expertise is our capability, so we’ll make sure it never stops growing. Whether it’s from the complex work you do, or the people you collaborate with, you’ll learn every day. Through world‑class development, you’ll gain invaluable technical and personal skills. Whatever your level, you’ll learn how to lead.


Connect to your next step

A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you’ll experience a purpose you can believe in and an impact you can see. You’ll be free to bring your true self to work every day.


Discover more reasons to connect with us, our people and purpose-driven culture at deloitte.co.uk/careers


#J-18808-Ljbffr

Related Jobs

View all jobs

Director, Head of Data Architecture, UK Deloitte Data Office

Director, Head of Data Architecture, UK Deloitte Data Office

Director/Head Enterprise New Business Sales – Selling SaS data engineering / data architecture[...]

Head of Data Engineering

Head of Data Engineering

ViiV Global Data Governance Director

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.