At a Glance
- Tasks: Lead the delivery of innovative Data and AI projects that make a real impact.
- Company: Join TTC, a global leader in crafting unforgettable travel experiences.
- Benefits: Enjoy a competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Work in a supportive team that values every voice and encourages curiosity.
- Why this job: Be at the forefront of transforming data into meaningful outcomes in a dynamic environment.
- Qualifications: Experience in delivering complex Data and AI initiatives with strong communication skills.
The predicted salary is between 72000 - 88000 £ per year.
Location: London, UK
Salary: Competitive
Working Pattern: Hybrid, 3 days per week in the office
Contract Type: Permanent
Working Hours: Monday to Friday
At TTC, we are enriching lives by connecting people and places. For over 100 years, we’ve been bringing the world closer together by crafting journeys that create lasting memories, lifelong friendships and meaningful cultural connections. Across more than 70 countries and our award-winning brands, we design and deliver travel experiences that go beyond sightseeing - they change perspectives.
Our Values:
- Value Every Voice. We put people first.
- Act with Integrity. We do what is right.
- Explore Beyond Boundaries. We are driven by curiosity.
- Own the Outcome. We take responsibility for our decisions.
- Succeed Together. We have each other's backs.
The Role:
This role makes sure TTC's Data and AI priorities become real delivery, with outcomes we can measure. You will orchestrate complex initiatives spanning Data Engineering, Data Science, Analytics, AI and Data Product, bringing clarity to priorities, dependencies, risks and value. This is not traditional project management. You will combine strong execution discipline with enough understanding of data and technology to challenge constructively, unblock teams and keep everyone focused on outcomes rather than administration. If you enjoy bringing order to ambiguity without burying people in process, this is your role.
What Will You Do?
- Lead end-to-end delivery of strategic Data and AI programmes and initiatives.
- Turn strategic roadmaps into clear plans, priorities and measurable outcomes.
- Coordinate dependencies across Engineering, Data Science, Analytics, Product, Architecture and Technology.
- Bring transparency to scope, milestones, risks, issues and decisions.
- Remove blockers and create the conditions for multidisciplinary teams to do their best work.
- Establish agile and product-oriented practices that genuinely suit Data and AI delivery.
- Partner with Data Product Leads to balance roadmap priorities, capacity and business value.
- Give senior stakeholders a clear view of progress, risk and the decisions needed from them.
- Drive continuous improvement across planning, prioritisation and delivery effectiveness.
- Keep teams focused on outcomes rather than activity.
About You:
Essential:
- Significant experience delivering complex Data, Analytics and AI initiatives.
- Strong understanding of modern Data and AI delivery environments.
- Proven ability to manage complex dependencies across multidisciplinary technical teams.
- Strong knowledge of agile, product and modern delivery practices.
- Excellent programme planning, prioritisation and risk management.
- Comfort operating in ambiguity and creating structure without unnecessary bureaucracy.
- Strong executive communication and stakeholder management.
- A commercial mindset and a clear bias towards measurable outcomes.
Desirable:
- Experience within a global or multi-brand organisation.
- Exposure to modern cloud data platforms such as Snowflake.
- Experience introducing or improving delivery frameworks from scratch.
- A background in engineering, analytics or data product before moving into delivery leadership.
- Curiosity about travel, hospitality or global consumer businesses.
Apply Now:
If you want to turn ambitious Data and AI plans into delivery that lands, we would like to hear from you. Apply today, and tell us about a programme you brought back on track.
Data Delivery Lead employer: The Travel Corporation
The Travel Corporation is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a strong emphasis on employee growth, you will have access to ongoing training and development opportunities while enjoying the flexibility of a hybrid work environment. Join us to be part of a team that values your contributions and supports your professional journey in enhancing our financial systems.
StudySmarter Expert Advice🤫
We think this is how you could land Data Delivery Lead
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like The Travel Corporation!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like The Travel Corporation.
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We think you need these skills to ace Data Delivery Lead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at The Travel Corporation, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at The Travel Corporation. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at The Travel Corporation
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at The Travel Corporation!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
