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Associate Director, Data Sciences, Programmatic Buying Unit
GroupM
New York, NY, United States
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Job Description
Associate Director, Data Sciences, Programmatic Buying Unit
Company Overview:
If you value speed, provocation, and teamwork, then you belong in GroupM’s programmatic buying team. We’ll encourage you to challenge the status-quo, knock down barriers, create innovative solutions, drive market creation and push the boundaries of what’s possible, every single day. Servicing the most prestigious agencies spanning the globe we make media a competitive advantage for our clients.
As the first bespoke programmatic trading solution for advertisers and the largest transparent and disclosed self-service programmatic operation we have lead the industry and we believe that all brand marketing begins and ends in media. Through media, we make our clients nimble, creative, and culturally relevant. We harness data-driven insights like nobody’s business, and turn them into real-time media investment decisions.
GroupM is the largest global media investment management company that serves as the parent company to WPP media agencies including Mindshare, MAXUS, Mediacom, MEC, MSix, Metavision and Essence.
Overview
This position reports to the Programmatic client lead. A minimum of five years’ experience preferred; the Associate Director, Data Sciences is the bridge between Mindshare’s programmatic team and the Analytics, Planning, and Investment teams. This position involves significant interaction with the Planning and Investment teams throughout the planning process to establish appropriate campaign KPIs in order to guide campaign optimization recommendations. This role requires a strong familiarity with all available analytics tools (both syndicated and proprietary) and a deep understanding of the programmatic ecosystem.
Responsibilities:
Primary responsibilities revolve around managing relationships between internal Mindshare and client teams, specific to ongoing Insights & Analytics engagements:
• Support the client lead in strategy for buying and testing programmatic media
• Serve as primary interface for internal strategy and operations as well as clients
• Support trading and planning teams in the creation of campaign specific digital KPIs to inform ongoing campaign optimization
• Provide Trading team with tracking, QA, and optimization reporting
• Design and manage/support insights and analytics projects including multi-channel attribution, CRM onboarding, online to offline sales studies, and digital audience verification research
• Provide custom reporting (spend analysis, publisher performance, cross-campaign reports, etc.)
• Implement process and measurement best practices (measurement plans, booking sheets, ways of working, etc.)
• Develop Programmatic-specific Insights (audience insights, cookie-level “big data” analytics, custom DMP reporting, etc.)
• Manage and develop diverse team capable of executing variety of insights and analytics tasks under deadlines, within an extreme-volume data environment
• Provide smooth project delivery and technical issues ranging from analytic and statistical techniques to approaches for third-party data integration
• Automate data process through SQL scripts
• Manage tag management vendors
• Manage client relationships
• Write POVs to provide thought leadership on industry topics
• Supervise and train junior team members
• Support in meeting and evaluate research and DMP vendors
• Manage basic statistical analyses, provide guidance on best practices
Systems & Tools:
• Proficiency in Microsoft Office (Excel, Word, PowerPoint)
• SQL and experience pulling digital ad reports is required (ad server, DSP, or DMP)
• Coding is a bonus, but not required
Qualifications:
• Bachelor’s degree
• Five years of experience
• Candidates should be knowledgeable in audience buying
• Excellent verbal and written skills
• Exceptional organizational skills, multi-tasking capabilities and detail oriented
• Strong analytical abilities and quantitative skills, including math proficiency. All client recommendations need to be supported by quantitative and qualitative research