Deloitte
Consumer Goods and Retail
DirectorEngineering,AI&Data
Neural analysis suggests this role is
optimal for mid candidates.
“Director Engineering, AI & Data at Deloitte. Skills: Engineering, AI, Data transformation, Cloud platforms. Lead strategic and commercial growth. Build and maintain relationships”
What You'll Achieve.
Impactful engagements; Successful programme delivery; Measurable business outcomes
Industry & Context.
Able to simplify complex technical topics into clear, actionable insights
What They're Looking For.
Must Have
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 depth in key domains, Able to simplify complex technical topics into clear, actionable insights, commercial mindset, with the ability to identify opportunities, shape value propositions and build long-term client relationships, Excellent communication and leadership skills, inspiring teams and aligning diverse stakeholders, Proven ability to navigate complex stakeholder environments across business and IT
Nice to Have
Self-starter with the ability to build a business
What You'll Do.
Lead strategic and commercial growth
Build and maintain relationships
Identify and shape opportunities
Convert opportunities into engagements
Co-create technical architecture
Guide development teams
Deliver transformation programmes
Guide clients in developing blueprints
Manage project lifecycle
Contribute to thought leadership
coach and develop teams
Drive business development
Deliver complex programmes
Own client relationships
Translate sector challenges
Take responsibility for P&L
Build and mentor teams
Ensure solutions meet standards
Represent the practice
Turn insight into outcomes
How You'll Work.
Team & Collaboration
Build and maintain CIO and Chief Architect relationships; Guide development teams in implementation; Inspire, coach and develop multidisciplinary engineering and development teams; Build and mentor multidisciplinary teams; Aligning diverse stakeholders
Communication Scope
Excellent communication skills
Process & Methodology
Manage the full project lifecycle, 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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