

Copy of Manager Engineering, Artificial Intelligence & Data
Copy of Manager Engineering, Artificial Intelligence & Data
Be the true you
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.
Benefits
- You’ll receive a profit-sharing bonus. On top of your fixed salary.
- Continuous professional growth. Join our development program.
- A work-from-home office setup allowance to make sure you have everything you need for an ergonomically designed workstation and internet allowance.
- Work part-time (32 hours a week) or full-time (40 hours a week).
- Flexible working hours, you are in charge of your own calendar.
- 26 days of paid annual leave, and the opportunity to purchase additional leave.
- The option to exchange three national holidays for three non-national holidays.
- A good mobility scheme: the choice of various options such as a lease car, travel by public transport, a cash option or a combination of these.
- A laptop and iPhone. The iPhone can be for personal use.
- A good pension scheme with a personal contribution of only 2%. For a comfortable future.
- An opportunity to take part in our collective health insurance scheme.
- An opportunity to benefit from tax-efficient facilities such as fitness, a bicycle scheme or the opportunity to lease a bicycle.
- The opportunity to use 55 hours of babysitting service per calendar year, if your child is 12 years old or younger.
- An opportunity to benefit from tax-efficient facilities, such as company fitness and a bicycle scheme.
- A flexible budget, which you can use to make choices in flexible benefits, for example: purchasing extra leave days or financing a bicycle plan.
- Six weeks of fully paid birth leave for traditional households and rainbow families.
Be the true you
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 responsible AI;
- Integration and APIs: event-driven architecture and API management;
- DevoOps and platform engineering: CI/CD, infrastructure as code and observability;
- On-premise infrastructure and open source tools;
- Networking: CCST / CCNA / CCNP, CCIE, etc.
Commercial and stakeholder impact
- Strong 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
- Self-starter with the ability to build a business
What impact will you make?
Join our Engineering, AI & Data practice as a Manager and take the lead in shaping transformative solutions for our clients. You'll drive business growth, lead complex transformation programmes, and establish yourself as a trusted strategic partner.
As a Manager in this role, you will build and nurture strong client relationships while uncovering strategic opportunities to drive business development. You'll guide clients through technology selection and critical business decisions, leveraging your versatile background to lead comprehensive end-to-end implementations. From problem definition and value articulation through stakeholder engagement, team structuring, build coordination, go-live management, and post-launch support, you'll own the entire delivery lifecycle.
Beyond your technical expertise, you'll serve as a trusted advisor, translating complex concepts into clear business outcomes for senior stakeholders. You'll also mentor and guide junior colleagues, fostering their professional growth and building high-performing teams that deliver exceptional results.

Together makes progress
Connect your future to Deloitte
How do you do this?
- 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.

We would like to meet you!
Our application process
Select one of the steps for more information
Step 1: Preparation
Step 2: CV and motivation
Step 3: The assessment
Step 4: The interview
Step 5: The offer
Questions or doubts? Get in touch.







