Deloitte
Consulting
DirectorEngineering,AI&Data
Neural analysis suggests this role is
optimal for mid candidates.
“Director Engineering, AI & Data at Deloitte. Skills: Engineering, AI, Data, Cloud, Transformation. Lead strategic and commercial growth. Build and maintain CIO relationships”
What You'll Achieve.
Impactful engagements; Measurable business outcomes
Industry & Context.
Simplify complex topics
What They're Looking For.
Must Have
10+ years experience, Shaping and delivering large-scale Engineering, Cloud, AI and Data transformation programmes end-to-end, Advising senior executives, Simplifying complex technical topics
Nice to Have
Chief lead architect or head of an IT department experience, Trusted advisor to C-level and C-1 stakeholders, Strategic partner
What You'll Do.
Lead strategic and commercial growth
Build and maintain CIO relationships
Build and maintain Chief Architect relationships
Identify and shape opportunities
Convert proposals into engagements
Co-create technical architecture
Guide development teams in implementation
Deliver transformation programmes
Guide clients in developing Engineering blueprints
Guide clients in developing roadmaps
Manage full project lifecycle
Contribute to thought leadership
Inspire multidisciplinary engineering teams
Inspire multidisciplinary development teams
Coach multidisciplinary engineering teams
Coach multidisciplinary development teams
Develop multidisciplinary engineering teams
Develop multidisciplinary development teams
Drive business development
Deliver complex transformation programmes
Own client relationships
Translate sector challenges into roadmaps
Take responsibility for P&L
Take responsibility for proposals
Take responsibility for programme delivery
Build multidisciplinary teams
Mentor multidisciplinary teams
Forge partnerships with providers
Ensure solutions meet governance standards
Ensure solutions meet privacy standards
Ensure solutions meet ethical standards
Represent practice through thought leadership
Represent practice through industry engagement
Turn insight into business outcomes
Reshape customer experience
How You'll Work.
Team & Collaboration
Multidisciplinary teams; Diverse stakeholders
Communication Scope
Clear insights; Inspiring teams; Aligning stakeholders; Thought leadership; Industry engagement
Process & Methodology
Project lifecycle management, Programme delivery
Full Job Description
Accelerate our growth in the Consumer (Consumer Goods and Retail) sector and contribute through your strategic vision, commercial drive and deep expertise in Engineering, AI and data-driven transformation. At Deloitte. * Lead strategic and commercial growth of Engineering and Data offerings within the Consumer, Retail and Travel/services/hospitality industry * Build and maintain strong CIO and Chief Architect relationships * Identify and shape opportunities, define proposals, and convert them into impactful engagements * Co-create technical architecture and guide development teams in implementation * Deliver transformation programmes focused on enterprise data platforms, AI, cloud, and emerging technologies * Guide clients in developing Engineering blueprints and roadmaps * Manage the full project lifecycle, from early visioning to implementation and adoption * Contribute to Deloitte’s thought leadership in the technology domain * Inspire, coach and develop multidisciplinary engineering and development teams ## Qualifications * 10+ years of experience as Chief lead architect or head of an IT department in a mid-size to large business * Proven track record in shaping and delivering large-scale Engineering, Cloud, AI and Data transformation programmes end-to-end * Acts as a trusted advisor to C-level and C-1 stakeholders, bridging business strategy and technology execution * Extensive experience advising senior executives and acting as a strategic partner * Deep passion for technology, combining broad knowledge with strong depth in key domains * Able to simplify complex technical topics into clear, actionable insights * In-depth experience with modern technology stacks such as: cloud platforms: AWS, Azure, GCP; cloud-native architectures such as microservices, serverless and Kubernetes * data and AI platforms: Databricks, Snowflake, real-time data streaming and MLOps * generative AI and advanced analytics: LLMs, prompt engineering, AI orchestration and responsible AI
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