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For Companies At a Glance
- Tasks: Manage marketing data processes and ensure data quality for campaigns.
- Company: Join Burberry, a leading luxury brand committed to creativity and sustainability since 1856.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and collaboration across teams.
- Why this job: Be part of a purposeful brand driving industry change and making a positive impact.
- Qualifications: Experience in marketing data management and familiarity with analytics tools required.
- Other info: This role offers a chance to work with innovative teams in a fast-paced setting.
The predicted salary is between 48000 - 72000 £ per year.
INTRODUCTION
At Burberry, we believe creativity opens spaces. Our purpose is to unlock the power of imagination to push boundaries and open new possibilities for our people, our customers and our communities. This is the core belief that has guided Burberry since it was founded in 1856 and is central to how we operate as a company today.
We aim to provide an environment for creative minds from different backgrounds to thrive, bringing a wide range of skills and experiences to everything we do. As a purposeful, values-driven brand, we are committed to being a force for good in the world as well, creating the next generation of sustainable luxury for customers, driving industry change and championing our communities.
JOB PURPOSE
The Data Product Manager will work directly with our digital, marketing, data science and technology teams in a highly dynamic and fast paced environment. They will be responsible for the management and processes surrounding data related to all marketing content and marketing events/campaigns. This includes the re-usability of marketing data across our marketing systems and analytics platforms, which underpins both Burberry\’s personalisation capabilities and enables increased effectiveness of marketing campaigns and investments. They will be responsible for shaping and managing a prioritised plan around evolving the data quality in this space, and interact daily with marketeers, data scientists and data architects to ensure suitability and availability of data. They will also own the content of the Enterprise Data Catalogue for marketing data domain and will be using our Data Quality / Data Observability tooling to ensure quality of Data Products they own
RESPONSIBILITIES
- Accountable for reliability and availability of Marketing data across platforms, available as products on our Analytics Platform – both for marketing content and campaigns.
- Accountable for marketing data processes & onboarding on to Analytics Platform.
- Engagement role between functions and departments to lead & coordinate marketing data processes and partner with technical teams and agencies to agree and govern marketing data lineage.
- Delivery and execution of marketing data feed for all marketing channels.
- Works with business partners to define and establish data quality rules, definitions and strategy consistent with division and organizational strategies and goals for new and legacy data feeds.
- Ensure Data Quality rules are captured within our Data Catalogue & Data Quality/Observability tooling,identified DQ issues are resolved within agreed SLAs and relevant audiences are informed through our Data Catalogue channels.
- Collaborates with Product Managers, Data Scientists and Data Analysts to ensure data quality and availability
- Focuses with Data Science and Technology Teams on driving automated tagging of marketing data where required
- Plays key role in ensuring marketing data is available, well curated in catalogue tools, understood and certified, enabling and uncovering further business opportunities related to marketing data
- Advocating for and supporting active Data Governance within the Marketing Domain
- Owns the roll out of Data Catalogue to marketing communities and owns Marketing Data Domain within the Data Catalogue
PERSONAL PROFILE
- Experience in classifying marketing & campaign content using Digital Asset Management tools
- Awareness of automated tagging approaches
- Familiar with and able to apply in practice data quality rules and data governance procedures – experience in using DQ/DO Tool will be an advantage
- Understanding of audience management
- Understand business needs within marketing domain and can suggest and take actions to accommodate
- Familiar with marketing taxonomy and measurement from different digital and offline marketing channels
- Capture, analyse and document requirements while supporting the communication and delivery of requirements with relevant stakeholders
- Experience in common marketing channels including google marketing platform & major global and apac paid platforms such as meta, tiktok, naver etc
- Has a good understanding of marketing attribution and metrics from direct platforms and those sourced via tools such as google analytics or snowplow
- Have experience with platform API and can navigate platforms for definitions, data discovery
- Have exposure with media spend planning process and understanding of analytics models for budgeting
- Previous experience in assessing the success of marketing campaign using analytical methods
- Data, data lineage and data usage in systems familiarity preferred
- System architecture aware
- Affinity and interest in analytics and analytics tools
- Confident in using SQL (medium level minimum) – hands on
- Ability to visualise data flows
- Power BI / other visualisation tools knowledge at the user level preferred
- Familiar with Data Analytics Lifecycle
- Data Product Management awareness – ideally experience
- Excellent communication skills and the ability to convey information succinctly and concisely
- Able to translate between technical and business teams
- Present a welcoming attitude to change and adjusts dynamically to continuous business change and improvement
- Capable and proactively takes on different activities in line with business need
- Excellent interpersonal skills, able to build relationships and collaborate effectively with others at all levels across the business
MEASURES OF SUCCESS
- Delivery of desired service performance, within agreed budget targets.
- Technical issues are resolved quickly and effectively.
- Positive Retail Management and IT feedback.
FOOTER
Burberry is an Equal Opportunities Employer and as such, treats all applications equally and recruits purely on the basis of skills and experience.
Posting Notes: United Kingdom || Not Applicable || London || IT || ANALYTICS || n/a || #J-18808-Ljbffr
Burberry Data Product Manager employer: Burberry
Contact Detail:
Burberry Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Burberry Data Product Manager
✨Tip Number 1
Familiarise yourself with Burberry's brand values and mission. Understanding their commitment to creativity and sustainability will help you align your responses during interviews, showcasing how your personal values resonate with theirs.
✨Tip Number 2
Network with current or former employees of Burberry, especially those in data roles. They can provide insights into the company culture and expectations for the Data Product Manager position, which can be invaluable during your application process.
✨Tip Number 3
Brush up on your knowledge of marketing data processes and tools mentioned in the job description, such as Digital Asset Management and data quality rules. Being able to discuss these topics confidently will demonstrate your preparedness and expertise.
✨Tip Number 4
Prepare examples from your past experience that highlight your ability to collaborate across teams, particularly between technical and business functions. This role requires strong interpersonal skills, so showcasing your teamwork will set you apart.
We think you need these skills to ace Burberry Data Product Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data management, marketing analytics, and any familiarity with tools like SQL or Power BI. Emphasise your ability to work collaboratively with technical teams and your understanding of data quality rules.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data product management and how it aligns with Burberry's values. Mention specific experiences that demonstrate your skills in managing marketing data and collaborating with cross-functional teams.
Showcase Relevant Skills: Clearly outline your technical skills, especially in data governance, automated tagging, and analytics tools. Provide examples of how you've successfully applied these skills in previous roles, particularly in a marketing context.
Highlight Your Communication Abilities: Since the role requires excellent communication skills, include examples of how you've effectively conveyed complex information to both technical and non-technical stakeholders. This will show your capability to bridge the gap between different teams.
How to prepare for a job interview at Burberry
✨Understand Burberry's Values
Before your interview, take some time to research Burberry's core values and mission. Show how your personal values align with their commitment to creativity, sustainability, and community. This will demonstrate that you are not just looking for a job, but are genuinely interested in contributing to their purpose.
✨Showcase Your Data Expertise
Be prepared to discuss your experience with data quality rules, data governance, and analytics tools. Highlight specific examples of how you've successfully managed marketing data in previous roles, especially if you have experience with platforms like Google Marketing or analytics tools like Power BI.
✨Communicate Effectively
Since the role requires collaboration between technical and business teams, practice conveying complex data concepts in simple terms. Use clear examples from your past experiences to illustrate your ability to bridge the gap between different stakeholders.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to handle dynamic environments. Prepare scenarios where you had to adapt quickly to changes in data requirements or marketing strategies, and explain how you navigated those challenges.
