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

Apply Now

Lead Data Architect

NTT DATA
London
10 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data engineer

Lead Data Engineer

Job Description

What you'll be doing:

We are seeking a pragmatic, detail oriented and experienced Lead Enterprise Data Architect to join our growing Data & Intelligence practice. The ideal person for this role will have expertise gained from working in one or many industries and will be responsible for the development of conceptual and logical data models, defining architectural frameworks as well as defining high level operating models and governance frameworks for managing the Data Architecture. You will also love to collaborate with other Data professionals, engineers, and business or operations experts to understand and address their data needs.

As an 'Enterprise' Data Architect, you will be a trusted client advisor responsible for defining how Data fits into the wider Business and Technology Architectures which exist.

Although technology agnostic, you will have experience in shaping vendor assessments for the various components of the architecture and will work with Data Solution Architects who are responsible for defining, elaborating, and designing the physical layers of the architecture and data models.

You will share a passion for Data and how it can be used to develop Data Driven Businesses, innovative ideas and thrive in an environment that embraces collaboration with clients and internal teams to scope, plan and execute projects on time and within budget.

You will be expected to shape propositions and services, support sales activities, deliver client engagements, lead teams (on/near/far shore) and manage cross-functional client staff and stakeholders in a variety of contexts, covering multiple sectors, including telecoms and media, banking, insurance, public sector, manufacturing and automotive, energy & utilities, and retail.

We are looking for someone with a strong background in Data Architecture and demonstrable experience of delivering Data Architecture Projects utilising a broad range of methods and frameworks incorporating on-prem, cloud and hybrid models.

The role will include the following:

Input into and drive the creation of go-to-market propositions and services in Data Architecture. Support client partners and practice leads in pre-sales activities. Act as a go-to practitioner in delivering projects in the Data Architecture field. Data Modelling Data Architecture Frameworks Defining end-to-end Data Architectures Leading and developing architecture teams Joining the dots between Business, Technology and Data architectures Input into the shaping of Data Architecture engagements. Deliver Data Architecture engagements with/ for our clients.

Remain up to date with the regular changes in the Data Architectures and ensure that this knowledge is made available to the wider Data & Intelligence practice.

What experience you'll bring:

Deep and proven experience in defining, developing, and managing data architectures in large and complex organisations and enterprise architectures. Comfortable developing and shaping the architectural vision. The ability to demonstrate core consulting values. Ability to operate in demanding situations whilst still having relentless drive to deliver with enthusiasm. Proven expertise in data modelling and reference data architectures. Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy. Proficient experience with data architecture and modelling tools such as sParx, Erwin, and Archi. Data-oriented personality, great communication skills, and an excellent eye for detail. Combination of technical, creative and business consulting experience. Must be able to interface with and manage relationships with businesspeople and technologists at senior levels showing competence in both areas. Experience with consulting-led sales. Extensive experience in either, or all, of the Telco-Media, Banking & Insurance, Public Sector, Manufacturing & Automotive, Retail sectors required. BS in Computer Science, Information Management or Information Technology is a plus. Deep hands-on experience of relational and dimensional data modelling.

Who we are:

We’re a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.

Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women’s Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network and the Parent Network.

For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA

Back to search Email to a friend Apply now

Apply

Listen to the story of Employee Voice

Alejandro Hernandez

Agile Coach/Digital Strategy Consultant for the Banking Sector

Chile

Read more

Giuseppe Cuciniello

International Business Development and commercial planning

Italy

Read more

Ianca Caroline Nascimento Linhares

Agility Trainee

Brazil

Read more

Apply Back to search results

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.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.