Manager Engineering

About this role

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.

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.