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.
- Je deelt bij ons mee in de winst, boven op een vast salaris.
- Altijd blijven groeien met ons development program.
- Vergoeding om je thuiswerkplek op een ergonomisch verantwoorde manier in te richten én een internetvergoeding.
- Parttime (32 uur) of fulltime (40 uur) werken.
- Flexibele werktijden en hybride werken, afgestemd op je team en je klantverplichtingen.
- 26 vakantiedagen per jaar bij een fulltime dienstverband en de mogelijkheid om extra dagen in te kopen.
- Een goede mobiliteitsregeling: de keuze uit verschillende opties zoals een leaseauto, reizen met het OV, een cash budget of een combinatie daarvan.
- Een laptop en iPhone. De iPhone mag je ook privé gebruiken.
- Een pensioenregeling waarbij je eigen bijdrage slechts 2% is.
- Mogelijkheid om deel te nemen aan de collectieve zorgkostenregeling.
- Fiscaal voordelige regelingen, zoals bedrijfsfitness, het aanschaffen van een fiets tegen bruto salaris of de mogelijkheid om een fiets te leasen.
- De mogelijkheid om gebruik te maken van 55 uur oppasdienst per kalenderjaar, als jouw kind 12 jaar of jonger is.
- Een maandelijks budget waarmee je keuzes kunt maken in flexibele arbeidsvoorwaarden, zoals extra vakantiedagen of het financieren van een fietsplan.
- Verschillende verlofopties, afgestemd op jouw behoeften, van ouderschapsverlof (ook voor regenbooggezinnen) tot de mogelijkheid om drie nationale feestdagen te ruilen voor andere dagen.
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
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.
- 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.
Stef Braam (Recruiter)
[email protected]
