Senior Manager, AI and Data Architect

Job Description

Lead AI and Data Architect, Senior Manager | Deloitte

The Tone:
This is a full-time role at Deloitte, located in London or Manchester, United Kingdom. Deloitte is a leading professional services firm that helps clients navigate complex business challenges with intelligent, future-proof decisions. This role is crucial for transforming client organizations through data-driven programs, positioning them for success in an evolving marketplace fundamentally reshaped by AI. You will be at the forefront of innovation, making a real impact with next-generation technology-enabled projects.

The TL;DR
• Role: Full Time
• Location: Hybrid, London or Manchester, United Kingdom

• Team: Strategy, Governance and Architecture (SG&A) team within the Artificial Intelligence and Data (AI&D) offering
• Mission: Lead the architecture of complex AI and data transformation programmes, translating business objectives into scalable, secure, and deliverable solutions.
• Tech Stack: AWS, Azure, GCP, Databricks, Snowflake, GenAI, Machine Learning

What You’ll Actually Do
• Client Understanding: Help market-leading clients understand how to leverage data and cutting-edge technologies to address their challenges, ambitions, and objectives.
• Solution Design: Lead the definition and design of end-to-end functional and solution architectures that articulate the capabilities required to support data and analytics activities.
• Project Leadership: Work closely with executive-level client stakeholders and cross-functional project teams to translate business vision and requirements into actionable project plans, roadmaps, and technical specifications, ensuring successful project delivery.
• Thought Leadership: Provide thought leadership and contribute to the development of innovative technology solutions, sharing expertise and best practices with clients and colleagues, and building relationships with leading vendors.
• Team and Business Development: Mentor junior team members, foster their professional development, lead effective and diverse teams, and contribute to proposals for new business opportunities.

The Must-Haves
• Background: Senior Manager level experience in data, AI, or enterprise architecture, ideally gained in consulting or another client-facing environment.
• Experience: Significant experience shaping and delivering complex technology-enabled change, including building strong client relationships and leading architecture or technical teams. Proven ability to develop and deliver presentations to senior stakeholders, present architecture designs to Technical Design Authorities, and conduct architectural evaluation and design for enterprise-wide systems.
• Skills:
• Cloud Platforms: Strong experience across one or more major cloud and data platforms such as AWS, Azure, GCP, Databricks, or Snowflake, including their AI/ML and generative AI services.
• Data Architecture: Strong understanding of functional data architecture designs, including data modelling, data management, data quality, master data management, reference data, reporting, visualisation, and AI, with expertise in data solution architecture design principles and patterns.
• Governance & Security: Solid understanding of data governance, data lineage, security practices, ethical AI implementation, and regulatory compliance frameworks like GDPR.
• Project Management & Delivery: Strong project management skills, including managing timelines, scope, and delivery, with a strong understanding of agile methodologies and experience working in agile environments.