Manager Engineering Strategy

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.

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

Responsibilities

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.

Requirements

7+ years of experience as a software engineer and solution architect, delivering complex, enterprise-grade systems; Relevant project experience in which you acted as a Product Owner, Product Manager, Scrum Master or Tech Lead.; 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