Director Engineering, AI & Data - Consumer

Accelerate our growth in the Consumer (Consumer Goods and Retail) sector 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 through our development program.
• A work-from-home office setup allowance to ensure you have everything you need for an ergonomically designed workstation, plus internet allowance.
• Flexible working hours, with control over your own calendar.
• 26 days of paid annual leave, with the opportunity to purchase additional leave.
• The option to exchange three national holidays for three non-national holidays.
• A good mobility scheme with various options such as a lease car, public transport, a cash option or a combination of these.
• A laptop and iPhone, with the iPhone available for personal use.
• A good pension scheme with a personal contribution of only 2%.
• An opportunity to take part in our collective health insurance scheme.
• Access to 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.
• A flexible budget to use for benefits such as purchasing extra leave days or financing a bicycle plan.
• Six weeks of fully paid birth leave for traditional households and rainbow families.

What impact will you make?

As a Director within our Engineering, AI & Data practice, you will shape our strategy, drive business development, and deliver complex transformation programmes. You will own client relationships at C-suite level, translate sector challenges into pragmatic roadmaps, and take responsibility for P&L, proposals and successful programme delivery.

You will build and mentor multidisciplinary teams, forge partnerships with technology and ecosystem providers, and ensure solutions meet governance, privacy and ethical standards. Externally, you will represent the practice through thought leadership and industry engagement, turning insight into measurable business outcomes that reshape customer experience, operations and monetisation.

How do you do this?

• Lead strategic and commercial growth of Engineering and Data offerings within the Consumer, Retail and Travel/services/hospitality industry.
• Build and maintain strong CIO and Chief Architect relationships.
• Identify and shape opportunities, define proposals, and convert them into impactful engagements.
• Co-create technical architecture and guide development teams in implementation.
• Deliver transformation programmes focused on enterprise data platforms, AI, cloud, and emerging technologies.
• Guide clients in developing Engineering blueprints and roadmaps.
• Manage the full project lifecycle, from early visioning to implementation and adoption.
• Contribute to Deloitte’s thought leadership in the technology domain.
• Inspire, coach and develop multidisciplinary engineering and development teams.

What you bring

• 10+ years of experience as Chief Lead Architect or Head of an IT department in a mid-size to large business.
• Proven track record in shaping and delivering large-scale Engineering, Cloud, AI and Data transformation programmes end-to-end.
• Acts as a trusted advisor to C-level and C-1 stakeholders, bridging business strategy and technology execution.
• Extensive experience advising senior executives and acting as a strategic partner.
• 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 modern technology stacks such as cloud platforms: AWS, Azure, GCP; cloud-native architectures such as microservices, serverless and Kubernetes.
• Experience with data and AI platforms: Databricks, Snowflake, real-time data streaming and MLOps.
• Knowledge of generative AI and advanced analytics: LLMs, prompt engineering, AI orchestration and responsible AI.
• Experience with integration and APIs: event-driven architecture and API management.
• Experience with DevOps and platform engineering: CI/CD, infrastructure as code and observability.
• Agentic Engineering.
• 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.