Publicis Groupe (Euronext Paris Exchange: FR0000130577; CAC 40 index), is the world’s third largest communications group.  Publicis Media is one of Publicis Groupe’s four solution hubs, aligning all of Publicis Groupe’s media agencies and operations.  The Data Sciences practice was created to deliver best-in-class data and technology solutions as well as to consolidate Publicis Media’s expertise to transform our business from a service business to a platform enterprise

Publicis Media’s data lake framework serves as the core platform that enables Publicis Media agency teams to perform tasks involved with analyzing and measuring media delivery across data platforms.  The Technology team is pivotal in realizing the Product vision by building successful and innovative technology solutions. The Data Lake Product Management Lead is responsible for owning and driving the delivery of the Data Lake Framework and its enhancements, features and data source integrations. 

Responsibilities:

• Oversee product vision and communication of that vision
• Serve as primary point of contact with Engineering for the realization of product vision
• Prepare and groom product requirements
• Act as SME for data integrations and data lake framework
• Own and manage product stories
• Oversee day-to-day product functionality
• Drive automation of quality checks associated with product and related data sets
• Write and /or coordinate with Product Marketing for the writing of product artifacts such as Data Dictionaries, reference guides and marketing presentations
• Prepare reports, recommendations and general documentation as needed
• Engage with cross-organization stakeholders including client agency teams, operations teams and engineers as needed to support data products.

• 5+ years of related work experience
• 5+ years of digital media experience, particularly experience working in ad tech industry with a data-centric role
• Strong written and verbal communication, including technical writing skills
• Understanding of systems engineering concepts
• Requirements analysis, translation, organization and communication experience
• Hands-on analytics-based programming experience in SQL and ability to articulate technical ETL requirements
• Practical experience in scrum-based Agile development methodology
• Experience working with JIRA, Confluence, or equivalent
• B.S. in Engineering, Information Management, or Computer Sciences preferred
• Experience gathering and documenting technical requirements

Bonus if you have:

• Tableau and BI experience building dashboards

All your information will be kept confidential according to EEO guidelines.