At a Glance
- Tasks: Lead the strategy and delivery of innovative data products that drive real business value.
- Company: Join a dynamic organisation focused on data-driven solutions and inclusive culture.
- Benefits: Enjoy travel perks, career progression opportunities, and a supportive work environment.
- Other info: Fast-paced role with opportunities for continuous improvement and professional growth.
- Why this job: Shape the future of data products and make a significant impact across the business.
- Qualifications: Experience in delivering data products and collaborating with diverse teams.
The predicted salary is between 63000 - 77000 £ per year.
Overview
As Data Product Delivery Lead, you own the strategy, delivery, and performance of data and insight products within a directorate.
You connect business needs with data capabilities, guiding product lifecycle from strategy to optimisation.
You collaborate with delivery squads, stakeholders, and central data teams to prioritise work and scale reusable data solutions.
This role shapes how data products create value across BA and beyond.
You’ll drive adoption, governance, and continuous improvement in a fast-moving, regulated environment.
- Pay / Benefits
- staff travel benefits including unlimited basic and premium standby tickets
- up to 30 discounted Hotline airfares per year for self and family
- opportunities for internal mobility and progression
- inclusive culture and diversity initiatives
Responsibilities
- Define and maintain the product roadmap aligned with business goals
- Lead delivery, quality assurance, and governance across the product lifecycle
- Drive adoption and measure net lifetime value of data products
- Coordinate cross-directorate use cases and scale opportunities
- Track progress, manage dependencies, and escalate blockers
- Mitigate risks across squads and major IT programmes
- Ensure compliance with data governance, privacy, and regulatory standards
- Represent the product portfolio within the data function and share lessons learned
- Key requirements
- Proven experience delivering data/analytics products in a large/complex organisation
- Strong track record working with cross-functional teams to deliver data solutions with measurable outcomes
- Understanding of data product lifecycle management, including development, in-life support, and optimisation
- Experience in stakeholder engagement across technical and non-technical audiences
- Familiarity with agile methodologies and product-led delivery in data/tech environments
- Understanding of data governance, quality, privacy, and compliance in regulated settings
- Experience coordinating delivery teams and managing interdependencies across initiatives
- Stakeholder engagement with empathy and clarity
- Adaptability and problem solving
- Decision making and impact
- Data product lifecycle management
- Data governance, privacy, and compliance
- Agile/product-led delivery in data environments
Data Product Delivery Lead in Heathrow employer: British Airways
British Airways is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of the aviation industry. As a Lead Product Data Scientist, you will have access to cutting-edge technology and significant opportunities for professional growth, all while contributing to impactful projects that enhance operational efficiency. With a commitment to employee development and a focus on delivering measurable business value, British Airways provides a rewarding environment for those looking to make a difference in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Delivery Lead in Heathrow
✨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 British Airways!
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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 British Airways.
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When you find a suitable opening like Data Product Delivery Lead at British Airways, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Product Delivery Lead in Heathrow
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 British Airways, 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 British Airways. 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 British Airways
✨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 British Airways!
✨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.