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- Tasks: Lead data science teams to optimise logistics and fulfilment using ML and advanced algorithms.
- Company: Join Ocado Technology, a leader in online grocery retail and innovative tech solutions.
- Benefits: Enjoy hybrid working, generous leave, private medical insurance, and leadership bonuses.
- Why this job: Make a real impact in logistics with cutting-edge technology and a supportive team culture.
- Qualifications: Expertise in ML deployment, strong communication skills, and a passion for team leadership.
- Other info: Dynamic role with opportunities for career growth and employee discounts.
The predicted salary is between 80000 - 100000 ÂŁ per year.
Director of Data – Logistics & Fulfilment | London & Hatfield | Hybrid
This is a two-day onsite opportunity, split between our Tech Hub in Old Street and our HQ in Hatfield.
About us
Ocado Technology is putting the world's retailers online using the cloud, robotics, AI, and IoT. We develop the innovative software and systems that power Ocado.com, the world's largest online-only grocery retailer, as well as the global Ocado Smart Platform. We champion a value‑led culture of Trust, Autonomy, Craftsmanship, Collaboration, and Learn Fast to help our teams work at their very best.
About The Role
This is a strategic leadership position sitting at the intersection of complex maths and physical reality. You will lead a high‑impact cluster of four teams covering a broad spectrum of interesting and challenging areas including Logistics optimisation (algorithms for routing optimisation), applied ML (for continuously improving our drive/drop time estimates), forecasting and modelling. Our data teams within Logistics research and build the algorithms that optimise decisions for the world's most advanced warehouses and delivery networks. You’ll be responsible for the strategy and delivery of data science, ML, and operations research across both Logistics and Fulfillment (CFCs). We need a leader who can take us from great research to production‑scale impact, energising the team to push boundaries rather than settling for the status quo.
What the role involves
- Fostering a tight working relationship between data science and engineering to move ML models into production at scale.
- Overseeing the long‑term vision for our 4‑team data science group, ensuring research depth translates into operational value.
- Supporting and developing our data science crafts while helping the wider organisation understand where the biggest opportunities live.
- Working with Data Engineering and Analytics to embed a strategy that captures the right metrics for better product decisions.
- Line‑managing Data Team Leaders and representing the data function within the Logistics and Fulfillment Senior Leadership Teams.
What we’re looking for
- In‑depth knowledge of ML, and how to deploy models in production at scale (MLOps).
- A proactive problem solver comfortable with the ambiguity of physical hardware and complex logistics.
- A strong communicator adept at data storytelling, capable of managing complex stakeholder relationships by listening as much as influencing.
- The ability to use data to help product management prioritize feature development and measure improvements post‑release.
- A leader who creates happy, high‑performing teams through coaching, 1:1s, and a commitment to knowledge sharing.
What do I get in return
- Hybrid working pattern (2 days in the office)
- Wellbeing support through Apps such as Unmind and an Employee Assistance Programme
- 25 days annual leave, rising to 27 days after 5 years service (plus optional holiday purchase)
- Pension scheme (various options available including employer contribution matching up to 7%)
- Private Medical Insurance
- 22 weeks paid maternity leave and 6 weeks paid paternity leave (once relevant service requirements complete)
- Train Ticket loan (interest‑free)
- Cycle to Work Scheme
- Share options
- Leadership bonuses
- Opportunity to participate in Share save and Buy as You Earn share schemes
- 15% discount on Ocado.com and free delivery for all employees
- Income Protection (can be up to 50% of salary for 3 years) and Life Assurance (3x annual salary)
Data Director - Logistics & Fulfilment in Hatfield employer: Ocado Technology
Contact Detail:
Ocado Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Director - Logistics & Fulfilment in Hatfield
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Ocado. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for the interview by diving deep into Ocado's tech and values. Show us how your experience aligns with our mission of innovation in logistics and fulfilment. We love a candidate who gets what we're about!
✨Tip Number 3
Practice your data storytelling skills. Be ready to explain complex concepts in simple terms. We want to see how you can communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Data Director - Logistics & Fulfilment in Hatfield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Director. Highlight your experience with ML, logistics optimisation, and team leadership. We want to see how your skills align with our mission at Ocado Technology!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and logistics. Share specific examples of how you've led teams or projects that relate to our work. Let your personality come through!
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—show us how you’ve used them to tackle complex problems. We love proactive problem solvers who can navigate ambiguity, so share those success stories with us!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Ocado Technology
✨Know Your Data Inside Out
Make sure you have a solid grasp of machine learning concepts and how to deploy models at scale. Brush up on logistics optimisation algorithms and be ready to discuss how you've applied these in past roles. This will show your depth of knowledge and readiness for the challenges ahead.
✨Showcase Your Leadership Style
Prepare to talk about your experience in leading teams, especially in data science. Think of examples where you've fostered collaboration and innovation. Highlight how you create high-performing teams through coaching and knowledge sharing, as this aligns with their value-led culture.
✨Communicate Effectively
Practice your data storytelling skills! Be ready to explain complex data insights in a way that resonates with non-technical stakeholders. This is crucial for managing relationships and influencing decisions, so think of specific instances where you've successfully done this.
✨Understand Their Vision
Research Ocado Technology's mission and values thoroughly. Be prepared to discuss how your vision aligns with theirs, particularly around optimising logistics and fulfilment. Showing that you understand their goals will demonstrate your commitment and enthusiasm for the role.