In March 2023, Publicis Media won the Adobe business for Europe, APAC, and Japan. We have established the Adobe.pub team to act as a seamless extension of the Adobe marketing team. Adobe.pub sits within the Zenith Global team and benefits from the opportunity, infrastructure and culture of one of the best international agencies in London.
The EMEA team, which has 70 members spread across London and India, covers all EMEA activity, from establishing strategy to media planning, activating media across digital channels, and reporting on campaign results. We handle both performance and upper funnel activity and are dedicated to creating full-funnel strategies to maximise Adobe’s digital engagement.
We are looking for an Associate Director, Search Lead, Adobe EMEA for the Adobe Creative Cloud Product Group. This role reports to the Planning and Performance Lead, Adobe.pub EMEA and the Performance Lead for the Adobe Creative Cloud Product Group.
This is an opportunity for a talented individual to lead the tactical day to day of the Paid Search campaigns and ensure accounts are aligned with the central strategy and adhere to best practice. At the same time, this role is also responsible for ensuring collaboration and best practice sharing across the Paid Search community on all 3 product groups on Adobe.
Key Responsibilities
•Data Feed Integration and Maintenance
•Identify all active data sources in the quarter, work with Data Engineering team to ensure data pipelines are setup, feed is populating data, refreshed periodically to ensure data availability for weekly processing
•Experienced in working with digital and offline campaign datasets as well as experience in Adobe Analytics
•Hands on experience with ETL (Extract, Transform, Load) and data stitching techniques to processes, clean and stitch large volumes of digital datasets (campaign / creative / on-site analytics datasets) at a granular level
•Experience in overcoming irregularities in datasets through lookup tables / standardisations / rules to generate a clean dataset that can be used for weekly reporting
•Good understanding of Python for automated/semi-automated processing as well as data joining logic (left, inner, outer, etc.)
•Implement advanced data stitching techniques to combine data from multiple sources, creating a unified view of customer interactions and campaign performance
•Data Quality Management
•Establish robust data quality / QA practices to ensure the accuracy, completeness, and reliability of integrated data
•Conduct regular data audits and validation checks to identify and rectify any discrepancies or errors
•Monitor and evaluate the effectiveness of data integration and stitching processes, identifying areas for improvement
•Scalability and Performance Optimization
•Design scalable data integration solutions that can handle increasing volumes of data without compromising performance
•Optimize data stitching processes to minimize latency and ensure real-time data availability for analysis
•Collaboration and Communication
•Work closely with IT, data engineering, and other cross-functional teams to align data integration efforts with business objectives
•Communicate complex data integration concepts and processes to non-technical stakeholders in an understandable manner