Deloitte

Consulting

ManagerEngineering,ArtificialIntelligence&Data

€95–140k ~AI est. Amsterdam, North Holland, Netherlands FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Manager Engineering, Artificial Intelligence & Data at Deloitte. Skills: Artificial Intelligence, Data Engineering, Cloud platforms, Software engineering. Lead strategic growth. Lead commercial growth”

What You'll Achieve.

Convert opportunities into impactful programmes; Deliver transformation programmes; Build long-term client relationships; Deliver exceptional results

Industry & Context.

Consulting
Problems you'll solve

Simplify complex topics

What They're Looking For.

Must Have

7+ years experience software engineer, 7+ years experience solution architect, Shaping large-scale Engineering transformation programmes, Delivering large-scale Engineering transformation programmes, Shaping large-scale Cloud transformation programmes, Delivering large-scale Cloud transformation programmes, Shaping large-scale AI transformation programmes, Delivering large-scale AI transformation programmes, Shaping large-scale Data transformation programmes, Delivering large-scale Data transformation programmes, Advising senior executives, Acting as strategic partner

Nice to Have

AWS certification, Azure certification, CCST certification, CCNA certification, CCNP certification, CCIE certification

What You'll Do.

Lead strategic growth

Lead commercial growth

Identify opportunities

Pave way for engineers

Start with engagements

Deliver transformation programmes

Manage project lifecycle

Inspire project teams

Develop project teams

Foster learning environment

Champion high-performance culture

Build client relationships

Uncover strategic opportunities

Drive business development

Guide technology selection

Guide business decisions

Provide post-launch support

Mentor junior colleagues

Build high-performing teams

Deliver exceptional results

How You'll Work.

Team & Collaboration

Multidisciplinary project teams; Cross-functional teams; Senior executives; Diverse stakeholders; Business and IT

Communication Scope

Clear insights; Actionable insights; Inspiring teams; Aligning stakeholders

Process & Methodology

Project lifecycle management

Full Job Description

Accelerate our growth in Engineering 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 AI & Data offerings ; * Identify and shape opportunities, define proposals, and convert them into impactful engagements; * Pave the way for (our) technology experts and software engineers to start with engagements around platform and product strategy, design and architecture; * Deliver transformation programmes focused on enterprise data platforms, AI, cloud, and emerging technologies; * Guide clients in developing Engineering, AI & Data blueprints and roadmaps; * Manage the full project lifecycle, from early visioning to implementation and adoption; * Inspire, coach and develop multidisciplinary project teams; * Foster a learning environment with continuous growth opportunities; * Partner with Talent teams to attract, develop and retain top talent; * Champion a high-performance culture based on collaboration and integrity. ## Qualifications Experience and leadership * 7+ years of experience as a software engineer and solution architect, delivering complex, enterprise-grade systems * Proven track record in shaping and delivering large-scale Engineering, Cloud, AI and Data transformation programmes end-to-end * Extensive experience advising senior executives and acting as a strategic partner Technology expertise * 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 various technology stacks, including: * Cloud platforms: AWS, Azure, GCP; cloud-native architectures such as microservices, serverless and Kubernetes; * Data and AI platforms: Databricks, Snowflake, real-time data streaming (e.g., Kafka, Airflow) and MLOps; * Generative AI and advanced analytics: LLMs, prompt engineering, AI orchestration and responsi

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