Loading...

Marketing Data Quality Manager

Department:  Information Technology
City:  London
Location:  GB

INTRODUCTION

Founded in 1856 by Thomas Burberry, Burberry is a global luxury brand with a distinctly British attitude. We are a global business with an extensive network of both owned and franchised stores across EMEIA, Asia Pacific and Americas. We are digital pioneers, and innovative technology underpins every aspect of our business, from product design to distribution and marketing. We believe that modern luxury means being socially and environmentally responsible; this mindset is core to our business and key to our long-term success.

JOB PURPOSE

The Marketing Data Quality Manager will work directly with our 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 information architects to ensure suitability and availability of data.

RESPONSIBILITIES

  • Accountable for reliability and availability of Marketing data across platforms – both for marketing content and campaigns.
  • Accountable for marketing data master data processes.
  • Engages with functions and departments to lead & coordinate marketing master data processes and partner with technical teams to agree and govern marketing data lineage.
  • Delivers and executes marketing performance reporting.
  • Works with business partners to define and establish data quality rules, definitions and strategy consistent with division and organizational strategies and goals.
  • 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 possible.

PERSONAL PROFILE

  • Past experience of working with Marketing Teams / with marketing data.
  • 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.
  • Understanding of business needs within marketing domain and can suggest and take actions to accommodate.
  • Capture, analyse and document requirements while supporting the communication and delivery of requirements with relevant stakeholders.
  • Previous experience of assessing the success of marketing campaign using analytical methods.
  • Data, data lineage and data usage in systems familiarity.
  • System architecture aware.
  • Affinity and interest in analytics and analytics tools.
  • Confident in using SQL (medium level minimum).
  • Ability to visualise data flows.
  • Tableau / other visualisation tools knowledge at the user level preferred.
  • Familiar with Data Analytics Lifecycle.
  • 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 to continuous business change and improvement.
  • Capable and proactively takes on different activities in line with business needs.
  • Excellent interpersonal skills, able to build relationships and work effectively with others at all levels across the business.

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 || Information Technology || IT - BI, Data and Analytics || n/a ||


Job Segment: Database, Data Management, Manager, Marketing, Quality, Technology, Data, Management