Deloitte
Senior Manager -Associate Director, Data Architect, Government & Public Service, AI & Data, Defence & Security
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SC-Cleared Data & AI Architecture Consultant (Data Architect)
About the Role
Do you want to be at the heart of some of the biggest and most ambitious government and public service programmes?
We are proud of the impact we have on our Government and Public Services clients, the strength of our relationships, and the variety of skills and expertise we bring to help them achieve their missions. Deloitte’s Data & AI Architecture teams are growing, and we are looking for ambitious professionals who are cleared to Security Clearance (SC) level to drive change and develop their careers in this challenging yet rewarding sector.
Connect your career to a future where data and AI are driving transformational impact.
Responsibilities
As a Data & AI Architecture Consultant (Data Architect), you will play a pivotal role in shaping the future of our clients’ data and AI strategies. Key responsibilities include:
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Designing & Implementing Data Solutions:
- Developing enterprise Conceptual, Logical, and Physical Data Models, adhering to national (e.g., UK Government Data Standards) and international (e.g., ISO, NATO) standards.
- Leading and delivering Data and AI Strategies in complex, multi-disciplinary environments.
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Transforming Data Landscapes:
- Analysing existing Data Architecture landscapes and defining future-state data strategies.
- Providing enterprise Data & AI Strategy leadership, ensuring systems are reliable, scalable, highly available, and maintainable.
- Introducing best practices to accelerate technology delivery.
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Team Leadership:
- Mentoring junior Data Architects, Data Analysts, Data Modellers, and AI Engineers.
- Laying groundwork for Data Architecture tools, platforms, operations, and security.
- Leading Data Proof of Concepts, pilots, and experiments.
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Data Governance & Compliance:
- Managing Data Governance activities, including policy development and compliance adherence.
- Acting as the escalation point for Data Governance, Data Quality, and Data Protection/Compliance issues.
- Enhancing Data Maturity and Data Quality with business leaders.
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- Stakeholder Collaboration:
- Aligning data design across business units and geographies.
- Coordinating cross-functional teams, partners, stakeholders, and external vendors.
Requirements
Required Qualifications and Experience:
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Security Clearance: Must hold an SC-level clearance.
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Technical & Architectural Expertise:
- Hands-on experience with Data Architecture, Enterprise Architecture, or related consulting roles.
- Data modelling and design in complex organisations.
- Expertise in Data Lake, Lakehouse, and Data Mesh architectures.
- Understanding of Observability and FinOps (Financial Operations).
- Developing data models (e.g., dimensional, combinational, data vault) for reporting and decision-making.
- Managing data pipelines for various business needs, including transformations from source systems to end-users.
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Data Management & Governance:
- Setting up Data Ontology (Data Catalogue, Data Dictionary, Data Lineage).
- Developing data frameworks, including lifecycle management (capture, transform, deliver).
- Governance policies, standards, compliance, and regulations (e.g., GDPR).
- Vendor tool proficiency (Collibra, Informatica).
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Business & Leadership:
- Experience configuring common data structures and business intelligence solutions.
- Managing load and refresh processes (e.g., batch, mini-batch, stream).
- Cognitive architecture of governance and data quality principles.
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Technical Depth & Certifications:
- Strength in SQL databases, familiarity with NoSQL and columnar databases.
- SQL vs. predictive analytics, data visualization techniques, machine learning foundations.
- Experience with cloud platforms (AWS, Azure, GCP) and emerging technologies.
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Presentational Skills:
- Ability to convey clear and coherent ideas to executives, and form strong client relations.
- Comfortable with on-demand proposals, presentations, and pre-sales activities.
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System & Project Management:
- Understanding of SDLC (Software Development Life Cycle).
- Practical experience with visualisation, development, and testing.
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- Soft Skills & Team Leadership:
- Leadership as a mentor for emerging talent.
- Strong project execution and problem-solving skills.
Benefits
- Purposeful Careers: Leave an impact in signalling large-scale transformational change.
- Access to Levels of Work: Advisory, consulting, technological impact, and mindset.
- Collaborative Culture: Alignment across teams and IT functions.
- Managing Deloitte Values: Integrity, inclusion, care, collaboration, innovation.
Additionally:
- Hybrid working: Flexible working arrangements in London, Bristol, or Manchester.
- Recognised Certifications: Opportunities to upskill in data-centric fields.
- Career Growth & Mentorship: From Junior Architect roles to expert".
Gravity to support Data Architects, mentorship from integration vetrancy."
Insights
At Deloitte, sailing businesses and societal transformation with our clients involves:
- Periodic delivery models of delivering deep expertise.
- Concluding transformational changes in data and technical infrastructure.
- Optimizing prepared services (e.g., core-banking, retail enhancements) with data innovation.
Personal Guidance
Audits require focusing on personal independence standards (such as not taking financial interests or secondary work with Deloitte audit clients, contend by polygonality):
- Visit Deloitte’s website or consult with the Independence team when assessing qualifications.
A few quick moments about Customer Success Additions by Dan (T&T): "What initially quarantined at Deloitte® were the finite possibilities and the collaborative experience we)d wise friends collective. My primary idea arrived as part of an organization making a meaningful impact."
Hybrid Working Policy & Duration
- "London | Bristol | Manchester" locations allow flexibility between in-office and remote roles.
- "Deloitte will balance your career with personal life".
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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