At a Glance
- Tasks: Manage data governance and quality, ensuring compliance and ethical handling of data.
- Company: Join a leading travel tech company focused on innovation and data excellence.
- Benefits: Enjoy health insurance, remote work options, and generous paid time off.
- Other info: Dynamic work environment with opportunities for professional growth and development.
- Why this job: Make a real impact on data initiatives while collaborating with diverse teams.
- Qualifications: Passion for data, experience in SQL, and strong communication skills.
The predicted salary is between 50000 - 70000 € per year.
In this role, as a Data Manager II you are an individual contributor responsible for establishing, overseeing, and ensuring adherence to policies, practices, and controls for data management across the company data estate, with a specific focus on data governance and data quality. You ensure regulatory compliance, ethical data handling and the responsible adoption of AI models and tooling within data initiatives, while designing and operating data quality frameworks that make our data accurate, trusted, and fit for purpose.
You drive and support change management for data initiatives, managing projects and stakeholders to successful outcomes and acting as a subject-matter expert for data governance and quality across your scope. This is a hands-on role where you will work closely with Product Managers, Data Engineers, Data Scientists, and Insights Analysts to convey the why, how, and what of Data Management initiatives, applying robust classification, metadata management, and stewardship practices to ensure data quality, regulatory compliance, and shared understanding of key data assets.
The ideal candidate is passionate about data, eager to learn and able to engage with diverse stakeholders. You will report to a Senior Data Manager and collaborate with other Data Managers on strategic objectives for data quality, governance, metadata management and regulatory compliance at Booking.com.
- Implement Data & AI Governance standards, and playbooks within your scope, aligned with enterprise frameworks and regulatory/audit requirements.
- Manage data risks & controls along key data flows to meet regulatory, compliance, risk, privacy and security by design expectations.
- Design and operate Data Quality dimensions, thresholds/SLOs, rules and scoring for priority assets and metrics.
- Monitor and report on data quality, using lineage and metadata for diagnosis, root cause analysis, and pragmatic remediation.
- Embed DQ checks and observability into batch and streaming pipelines, shifting quality left in design and development.
- Apply classification, taxonomies, and metadata management to improve discoverability, protection, and consistent usage of data.
- Define and maintain data lifecycle requirements (creation to deletion) for key assets and keep core documentation (data dictionaries, glossaries, lineage, rule catalogues) accurate and accessible.
- Manage stakeholders across producer and consumer teams, and clearly communicate the business impact of poor data quality and the value of remediation.
- Use SQL and scripting (e.g. Python, R) to profile data, implement/validate DQ checks, and support investigations and prototypes.
- Build and maintain DQ / governance dashboards in tools like Tableau or Power BI to provide clear, actionable views of quality and maturity.
- Use APIs and data management tooling (catalogue, lineage, DQ platforms) to register metadata, automate controls, and integrate governance into workflows.
- Coach and support data managers, stewards, and analysts on governance and DQ topics, and contribute to the wider Data Management community with patterns, documentation, and best practices.
Benefits include health insurance, free access to Headspace for you and your loved ones, global employee assistance program, meditation and breastfeeding rooms at the office, life insurance, disability insurance, pension plan, annual paid time off, parental leave - 22 weeks, grandparent leave - 10 days, care leave - 10 days, bereavement leave - up to 4 weeks, anniversary leave, working from home furniture and ergonomic support, working from abroad - up to 20 days per year, discounts & wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, friends & family Booking.com discount vouchers, free access to online learning platforms, development and mentorship programs to support career growth, access to trainings and workshops, team development opportunities, local discount programs, game rooms in offices, and on-site meals, coffee and snacks including vegan options.
Data Manager in Manchester employer: Booking.com
At Booking.com, we pride ourselves on being an exceptional employer that values data-driven decision-making and fosters a collaborative work culture. As a Data Manager II, you will benefit from comprehensive health insurance, generous parental leave, and access to professional development programs, all while working in a vibrant environment that encourages innovation and personal growth. Our commitment to employee well-being is reflected in our unique perks, such as meditation rooms, flexible working arrangements, and opportunities for community engagement through volunteer days.
StudySmarter Expert Advice🤫
We think this is how you could land Data Manager in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the data management field on LinkedIn or at industry events. We can’t stress enough how important it is to make connections; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL, Python, or data visualisation tools like Tableau. We want to see what you can do, so make it easy for potential employers to check out your work.
✨Tip Number 3
Prepare for interviews by brushing up on common data governance and quality questions. We recommend practising with a friend or even in front of the mirror. The more comfortable you are discussing your expertise, the better you'll come across!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Data Manager in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Manager role. Highlight your experience with data governance, quality frameworks, and any relevant projects you've managed. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data management and how you can contribute to our team. Be sure to mention specific experiences that relate to the job description.
Showcase Your Technical Skills:Don’t forget to highlight your technical skills, especially in SQL, Python, or R. If you've built dashboards in Tableau or Power BI, let us know! We love seeing practical examples of your work.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. We can’t wait to hear from you!
How to prepare for a job interview at Booking.com
✨Know Your Data Governance
Make sure you brush up on data governance principles and practices. Be ready to discuss how you've implemented or overseen data quality frameworks in the past. This shows you're not just familiar with the concepts but have practical experience too.
✨Showcase Your Technical Skills
Since this role involves using SQL and scripting languages like Python or R, be prepared to talk about your experience with these tools. Maybe even bring a small project or example that demonstrates your ability to profile data and implement data quality checks.
✨Engage with Stakeholders
This position requires collaboration with various teams. Think of examples where you've successfully managed stakeholders or communicated complex data issues clearly. Highlighting your interpersonal skills can set you apart from other candidates.
✨Prepare for Change Management Questions
Expect questions around change management for data initiatives. Prepare to discuss how you've driven change in previous roles, including any challenges you faced and how you overcame them. This will show your ability to adapt and lead in a dynamic environment.