Director – Project Management
Confirmed live in the last 24 hours

10,001+ employees

Advertising Services
Company Overview
PG Mediabrands is the media and marketing solutions division of Interpublic Group (NYSE: IPG). IPG Mediabrands manages over $47 billion in marketing investment globally on behalf of its clients across its full-service agency networks UM, Initiative and Mediahub and through its award-winning specialty business units Healix, Kinesso, MAGNA, Matterkind, Mediabrands Content Studio, Orion Holdings, Rapport, Reprise, and the IPG Media Lab. IPG Mediabrands clients include many of the world’s most recognizable and iconic brands from a broad portfolio of industry sectors including automotive, personal finance, consumer product goods (CPG), pharma, health and wellness, entertainment, financial services, energy, toys and gaming, direct to consumer and e-commerce, retail, hospitality, food and beverage, fashion and beauty. The company employs more than 18,000 diverse marketing communication professionals in more than 130 countries.
United States
Experience Level
Desired Skills
Data Analysis
Data Science
Google Cloud Platform
Microsoft Azure
Power BI
AI & Machine Learning
Data & Analytics
Software Engineering
  • Initiative is different to other media agencies
  • Initiative unlocks business growth for the world's most ambitious brands. We believe in the power of media to reshape our industry and orchestrate a brand's entire consumer experience, by balancing both what unites people and what makes them different. When brands unite people in culture, they build Fame, and when brands connect individuals to their unique journeys, they build customer Flow. Initiative builds Fame & Flow for brands like Nike, Amazon, Merck, LEGO, and T-Mobile
  • Media responsibility is at the forefront of everything we do, whether it's creating media plans that reflect the diversity of our communities, promote brand safety, and foster sustainability. Our agency celebrates diversity in an inclusive environment where all of our 6,000+ strong talent across 90+ markets feel seen, heard, and valued. Our vision is to create not only a better media company, but also a better media industry, and maybe even a better world
  • We embrace diversity, and our responsibility to maintain an inclusive environment is core to our culture and values. We see diversity of people and experiences as fuel for creativity and innovation needed to bring about the best experiences and services. A diverse workforce means we can grow together, be better problem solvers, and bring about long-term, meaningful change where we will achieve above and beyond our business goals. We are better together
  • When you join Mediabrands, you join a global community and are valued for who you are - your lived experiences, the contributions you make, and the distinct perspectives you bring. Here, what you think and who you are is just as important as what you do. As we recruit, we are dedicated to looking beyond what a resume can show. If you think you'd be a great addition to the team but don't have the exact experience or skills, we encourage you to apply and share your unique background with us. We see you at Mediabrands
  • Oversee log-level data analytics for digital channels across Ad Server, DSP, DMP and other data sources
  • Work with the adserver team to setup Sizmek campaigns
  • Responsible for campaign taxonomy implementation and align with Initiative privacy lead on data governance policy
  • Keep abreast of industry trends around data privacy, adtech audience data policy evolution, new techniques in data strategy and data science
  • Direct team on custom data visualization in dashboard platforms including Tableau and PowerBI
  • Partner with cross-craft teams on development of measurement frameworks
  • Drive efficiencies in how analytic services are delivered, through standardization and automation
Desired Qualifications
  • 5-7 years experience in managing data science in Cloud environments and toolsets (GCP, AWS, Azure) and data management (Redshift, BigQuery or SQLServer)
  • Experience in agile project management and engineering
  • Experience across descriptive, prescriptive, predictive data science techniques
  • Experience with experimental design, A/B testing setup, execution and measurement
  • Experience with programming languages - SQL, Python (pandas, SciPy, scikit-learn, stats models), R
  • AWS, Azure and/or Google Data certifications and participations in data bootcamps is a plus