Deloitte

Consulting

DirectorEngineering,AI&Data

€175–250k ~AI est. Amsterdam, North Holland, Netherlands FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“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.

Consulting
Problems you'll solve

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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