Peter German
Sr Director Data Strategy @Publicis Sapient
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WORK HISTORY
Sr Director Data Strategy @Publicis Sapient
Toronto, ON, CA
Developed a martech roadmap for a large multi-category retailer that identified $50-60M of upside and the corresponding investments required in people, and technology-Standardized measurement methodologies that provided the organization with confidence that investments in media, and marketing technology were leading to true incrementality-Delivered campaigns that piloted new capabilities such as 3rd party data enrichment, multi-channel customer journeys, data pipelines for ML attributes driving +$50M in sales-Drove the transition to an agile marketing POD by designing a new operating model, and rolling out governance processes-Led martech (CDP) use case development, strategy and implementation for a retailer resulting in the deployment of new digital activation and measurement capabilities-Conducted root cause analysis to identify reasons for a 30% year-over-year decline in holiday sales for a Fortune eCommerce retailer, using Adobe Analytics, SimilarWeb, and Voice of Customer (VOC) data.
EDUCATION
Ryerson University
MBA, Technology and Innovation
Ryerson University
BCom, IT Management
SKILLS
ABOUT PETER GERMAN
A dynamic data leader who has experience partnering to drive change with top tier clients. Peter has worked with senior stakeholders to develop a shared vision for new data driven capabilities. He then has implemented projects to build capabilities that deliver incremental value en-route to realizing his clients’ future state vision. This enables his clients business to be more nimble and enhances their customers’ experiences. Having led clients through a visioning process outputting a multi-year roadmap Peter has delivered transformational work for his clients in the following areas:Optimizing customer experiences leveraging experimental methodologies-Remediating data collection flowing out of source systems such as Google & Adobe analytics-Implementing messaging platforms such as Salesforce Marketing Cloud-Automating data flows to enable triggered messaging-Building predictive customer analytics such as predicted lifetime value (pLTV/pCLV) or the probability that customers have churned-Enriching customer data leveraging 3rd party APIs such as Real Estate listings and Google Maps-Visualizing data in dashboards to democratize analysis within client organizations-Creating data sets that span across channels, unlocking capabilities such as optimizing media to realized value rather than cost per acquisitionPeter is an alumnus of Mozilla Firefox, Microsoft (contractor), PwC, Direct Energy, Workopolis, and has spent nine years consulting at PublicisSapient. As a result, he is able to quickly ramp up on client problems to build strong delivery teams that unlock new capabilities and enable use cases requiring the use of data science, data engineering, and data analytics.
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