JOB DESCRIPTION

Connect to your Industry

Do you want to be at the heart of some of the biggest and most ambitious programmes undertaken across government?

We are proud of the impact we have with our Government and Public Services clients, the strength of our relationships, and the variety of our skills and expertise that we bring to help them achieve their mission.

We’re growing our Data & AI Architecture teams. If you are cleared to SC level and want to grow your career in this sector, we are very keen to hear from you.

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

Our projects vary greatly and your responsibility as a consultant will differ based on the focus of the client engagement and your skillset, but could include and may require you to:

• Develop enterprise Conceptual, Logical, and Physical Data Models, conforming to national and international standards and conventions (e.g. ISO, UK Government Data Standards, NATO, etc).
• Provide leadership and guidance on enterprise Data and AI Strategies in highly complex multi-disciplinary environments.
• Analyse systems, data and processes to gain an understanding of clients’ existing Data Architecture landscapes and then define the target state.
• Provide Data Architecture oversight for our delivery teams to ensure reliable, scalable, highly available, and maintainable systems.
• Introduce data best practices and principles to accelerate technology delivery.
• Lead and mentor junior Data Architects, Data Analysts, Data Modellers and AI Engineers.
• Create and maintain guidance on Data Architecture tools, platforms, operations, and security.
• Lead and support Data and AI Proof of Concepts, pilots and experiments.
• Lead and manage organization-wide Data Governance activities.
• Establish and ensure adherence to Data Governance policies, standards and processes.
• Act as an escalation point for Data Governance, Data Quality and Data Protection/Compliance issues.
• Work with business leaders to improve Data Maturity and Data Quality.

Connect to your skills and professional experience

All applicants must hold SC level clearance.

Candidates will have hands on experience relevant to these areas:

• Consulting experience, including:

  • Working on client facing projects.
  • Experience of contributing to proposal writing, presentations and pre-sales activities and driving opportunity development.

• Deep Data Architecture experience either within an industry Data or Enterprise Architecture role, or similar within Consulting.

• Excellent problem solving and analytical skills.

• Strong executive-level stakeholder management using clear communications and being able to form strong client relationships.

• Strong experience as a leader of people, providing dynamic day-to-day leadership that nurtures and develops junior talent, creating effective data design teams.

• Experience in data solution architecture, including establishing design principles, defining solution patterns, and following architecture methodologies.

• Expertise in Data Lake, Lakehouse, and Data Mesh architecture.

• Observability and FinOps (Financial Operations) expertise.

• Experience of establishing common data models and suitable structures to enhance reporting.

• Data Management skills including setting up frameworks describing the processes to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control and purge data.

• Experience of Data Ontology (Data Catalogue, Data Dictionary and Data Lineage).

• Experience of producing diagrams representing key data entities and their relationships.

• Ability to define the processes to capture, transform and deliver usable data to Information users and most importantly identify the people who will consume the data and their unique requirements.

• A solid foundation in systems development: must understand the system development life cycle, project management approaches, and requirements, design, and test techniques.

• Demonstrable experience of data modelling and design in a large complex organisation.

• Experience and understanding of both established and emerging data technologies, including established data management and reporting technologies.

• Expert knowledge of SQL databases alongside some knowledge of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured data.

• Strong understanding of various data modelling methodologies (e.g., dimensional modelling, data vault).

• Demonstrate a good understanding of Data/Information Governance principles and familiarity with processes, policies, and key vendor platforms such as Collibra and Informatica.

• Excellent communication skills. Must be articulate, persuasive and can conceive and portray the bigger picture to others.

• Experience of flowing data from source systems to business users and creating a series of interconnected data pipelines that serve various business needs using base data objects.

• Experience in engaging with both Business and IT stakeholders to document business outcomes and objectives for large-scale solutions and programmes.

• Experience in working with peers and senior enterprise solution/data architects to align data architecture blueprints across different business units and geographies.

• Collaborating and coordinating stakeholders, partners, and external vendors.

• Experience or working knowledge of load operations and refresh rates (e.g. batch, mini-batch, stream), query operations (e.g., create, read, update, delete).

• Experience or working knowledge of deployments (e.g., on premises, public cloud, private cloud, hybrid).

• Experience of data processing engines (e.g., relational, OLAP, SQL, graphing, mapping, programmatic) and pipelines (e.g., data warehouse, data mart, OLAP cubes, visual discovery, real-time operational applications).

• Staying ahead of technical advancements in cloud analytics and data management space.

• Industry-recognised certifications (e.g. DAMA CDMP, TOGAF, vendor/platform specific e.g. AWS/GCP/Azure).

• Good understanding of regulatory and compliance requirements such as GDPR.