At a Glance
- Tasks: Lead the UK Commercial Data team and drive data-driven solutions for commercial growth.
- Company: Join Bauer, a dynamic company at the forefront of digital advertising and data innovation.
- Benefits: Enjoy 28 days holiday, flexible working, and access to professional development through Bauer Academy.
- Other info: Flexible hybrid working model with excellent career growth opportunities.
- Why this job: Make a real impact in a collaborative environment while developing your leadership skills.
- Qualifications: Experience in managing data teams and strong knowledge of digital advertising technologies.
The predicted salary is between 60000 - 80000 £ per year.
You will be joining The Bauer Commercial Data team which is a multi-disciplinary group spanning insight, analytics, strategy, and engineering.
We work collaboratively with revenue operations, sales, data engineering, and content teams to deliver data-driven solutions that support Bauer’s commercial objectives.
The Difference you will make
As The Commercial Data Manager, you will be leading the day-to-day operation of the UK Commercial Data team helping to deliver operational excellence and support commercial growth for audio Xi and Illuminate.
You will oversee supplier and stakeholder management, coordinating issue resolution, prioritisation and task delegation while making independent decisions on operational and team management matters, in consultation with the Head of Commercial Data and senior leaders.
Your role
- Line manage and develop the Commercial Data team across Strategy and Enablement.
- Set clear objectives, provide regular feedback, and champion personal growth through structured development planning.
- Lead tactical UK commercial data projects and oversee supplier and stakeholder management.
- Act as escalation point for commercial data queries, present data propositions and communicate commercial value.
- Test and implement group commercial data tools locally, ensuring adoption, feedback to central teams, and continuous process refinement.
- Exercise sound judgement in daily management in consultation with senior leaders.
The Skills you will bring
- Experience managing and developing data or operations teams.
- Strong knowledge of digital advertising technologies and commercial data tools.
- Proven ability to build and maintain stakeholder relationships,
- Experience coordinating data based projects and implement new tools and processes.
- Excellent People management, operational delivery and commercial acumen.
- Working Pattern/Location
This is fulltime role, Monday – Friday, 9am – 5.30pm with flexible working hours.
We also offer a hybrid way of working that supports a balance of working from home and our office in London (5 minutes walk from Euston Station)
- What’s in it for you
- You’ll have 28 days holiday, bank holidays & 2 volunteer days to use.
- Your development matters, so access to our internal training provider – Bauer Academy, is a huge win.
- We have enhanced Maternity/Adoption, Paternity and Shared Parental Leave Pay.
- You’ll have the opportunity for flexible working.
- And much more! Find the full details of our benefits here
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Commercial Data Manager in London employer: Bauer Media Group
Bauer Media Group is an excellent employer, offering a dynamic work environment in Manchester where creativity and innovation thrive. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to collaborate with talented professionals in the audio industry. The hybrid work model promotes a healthy work-life balance, making it an attractive place for those seeking meaningful and rewarding employment.
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We think this is how you could land Commercial Data Manager in London
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We think you need these skills to ace Commercial Data Manager in London
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!
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