At a Glance
- Tasks: Lead AI and data projects for transport clients, shaping solutions and driving delivery excellence.
- Company: Join a leading consultancy with a focus on innovation in transport technology.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement opportunities.
- Why this job: Make a real impact in the transport sector using cutting-edge AI and data solutions.
- Qualifications: Experience in transport consulting and strong leadership skills required.
The predicted salary is between 80000 - 100000 £ per year.
We are seeking an experienced Associate Director to join our Engineering, AI & Data practice to lead delivery of AI, data, and analytics programmes for transport clients (road, rail and aviation). You will work with senior client stakeholders and delivery teams, collaborate with colleagues across the firm to bring the right expertise to solve complex transport challenges, and play an active role in business development and market‑making.
Your role includes leading multi‑disciplinary teams to shape and deliver AI, data and analytics engagements for transport clients. Your responsibilities include strong delivery leadership, commercial acumen, and building rapport and trust with senior stakeholders.
- Engage daily with senior client stakeholders (e.g., Programme Directors, CIO/CTO, Heads of Operations and Data) to build rapport, shape direction, manage expectations and secure successful outcomes.
- Lead end‑to‑end delivery of AI & data workstreams and programmes – defining delivery approach, governance and plans, and ensuring delivery excellence to time, cost and quality.
- Manage and develop teams of 5+ FTEs (and broader blended teams), creating an inclusive, high‑performance culture and coaching others.
- Bring a multi‑disciplinary approach to solving client problems – working across Deloitte business units as needed to mobilise the right expertise.
- Drive business development and market‑making: contribute to propositions, respond to proposals/RFPs, shape scope and commercials, and manage engagement drivers and profitability.
Qualifications include:
- Experience working in or consulting to the transportation industry (road, rail or aviation), with a strong understanding of sector drivers and operational realities.
- Strong track record leading complex AI, data, analytics or digital transformation initiatives from shaping through delivery, with robust governance and stakeholder management.
- Proven experience engaging senior stakeholders daily – building trust and rapport, influencing decisions, managing risks/issues and communicating clearly across business and technology audiences.
- People leadership experience managing teams of 5+ FTEs and broader blended teams, with evidence of coaching, talent development and building high‑performing teams.
- Demonstrated contribution to business development – shaping propositions, supporting or leading bids/RFP responses, and applying commercial awareness to drive delivery outcomes and project profitability.
- Relevant certifications are desirable (e.g., PMP, PRINCE2, MSP, Scrum Master, PMI‑ACP, SAFe).
- Working knowledge of AI technologies and approaches is desirable (e.g., Machine Learning, Large Language Models, Cloud Technologies, Generative AI).
Technical & Delivery Proficiency:
- Experience leading the end‑to‑end design and delivery of production‑grade AI/ML and/or Generative AI solutions, from discovery and prototype through to deployment and adoption.
- Strong understanding of modern AI/ML and GenAI concepts (e.g., LLMs, prompt engineering, RAG patterns, evaluation) – able to guide technical teams and make pragmatic architecture decisions.
- Working knowledge of data platforms and engineering (e.g., cloud data services, data pipelines, integration, SQL) and how these enable analytics and AI products.
- Experience establishing governance, risk management, security practices and ethical AI guardrails across the delivery lifecycle.
- Broad experience with major cloud platforms (AWS, Azure, GCP) and their AI/GenAI services; cloud‑agnostic experience is preferred.
- Good grasp of MLOps/LLMOps practices (e.g., CI/CD, model/LLM monitoring, controls and auditability) and embedding them in client delivery.
- Familiarity with large‑scale data processing and storage technologies (e.g., SQL, Spark).
- Excellent communication and stakeholder management skills, including the ability to translate complex technical concepts for diverse audiences.
Location: London (hybrid working).
Associate Director, Transport AI & Data Delivery Lead / Solution Architect, Engineering, AI & Data, employer: Hm Revenue & Customs (Hmrc)
As an Associate Director at our Engineering, AI & Data practice in London, you will thrive in a dynamic and inclusive work culture that prioritises collaboration and innovation. We offer exceptional employee growth opportunities through mentorship and leadership development, alongside a commitment to delivering impactful AI and data solutions for transport clients. With a hybrid working model, you can enjoy the flexibility of remote work while being part of a forward-thinking team dedicated to solving complex challenges in the transportation sector.
Contact Details:
Hm Revenue & Customs (Hmrc) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Associate Director, Transport AI & Data Delivery Lead / Solution Architect, Engineering, AI & Data,
✨Network Like a Pro
Get out there and connect with people in the transport industry! Attend events, join online forums, and don’t be shy about reaching out to potential colleagues on LinkedIn. Building relationships can open doors that a CV just can't.
✨Showcase Your Expertise
When you get the chance to chat with stakeholders or during interviews, make sure to highlight your experience with AI and data delivery. Share specific examples of how you've tackled complex challenges in transport – this will show you're the right fit for the role!
✨Be Ready to Discuss Trends
Stay updated on the latest trends in AI and data analytics within the transport sector. Being able to discuss current challenges and innovations will impress senior stakeholders and demonstrate your passion for the field.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Associate Director, Transport AI & Data Delivery Lead / Solution Architect, Engineering, AI & Data,
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in AI, data, and transport. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects or achievements!
Showcase Your Leadership Skills:As an Associate Director, you'll be leading teams and engaging with senior stakeholders. We love to see examples of how you've successfully managed teams and built rapport with clients, so include those stories in your application.
Highlight Your Technical Know-How:We’re looking for someone with a solid understanding of AI technologies and data platforms. Be sure to mention any relevant certifications or experiences that demonstrate your technical proficiency and ability to deliver complex solutions.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy to do!
How to prepare for a job interview at Hm Revenue & Customs (Hmrc)
✨Know Your Stuff
Make sure you brush up on your knowledge of AI, data, and analytics, especially as they relate to the transport sector. Familiarise yourself with current trends and challenges in road, rail, and aviation to show that you understand the industry and can speak their language.
✨Build Rapport with Stakeholders
Since you'll be engaging with senior client stakeholders, practice how to build rapport quickly. Think about how you can establish trust and communicate effectively. Prepare examples of how you've influenced decisions or managed expectations in past roles.
✨Showcase Your Leadership Skills
Be ready to discuss your experience managing teams and developing talent. Highlight specific instances where you've created a high-performance culture or coached team members to success. This will demonstrate your capability to lead multi-disciplinary teams effectively.
✨Prepare for Business Development Questions
Expect questions around business development and market-making. Have examples ready of how you've shaped propositions or contributed to bids. Show your commercial acumen by discussing how you've driven project profitability in previous roles.
