Vice President, Analytics

Vice President, Analytics

At Publicis Collective, the Analytics team is the heartbeat of our client solutions and media measurement. We use data-driven insights to fuel strategic growth for clients, and we believe that data should never exist in a vacuum; instead, it should be put to work to bring the best ideas and narratives to life. We leverage data, technology, creative, media and strategy capabilities to deliver media-fueled solutions across the media landscape.

The Vice President, Analytics (VP) serves as the main point of contact for digital media measurement and analytics for our client. This role will be supporting a large, high-profile technology brand portfolio focusing on their gaming and B2B accounts. This person will be responsible for an analytics team that uses data and analytics techniques to answer client business questions and completing deliverables through a breadth of datasets and appropriate analytic techniques, storytelling, and data visualization.

Responsibilities

• Consult with clients to define and answer their most important business questions, advising on how to best leverage data on media & marketing investments to drive business results
• Drive a culture of 'always on' data-driven decision making that will institutionalize the use of consumer-driven analytics in media/marketing investment planning
• Provide thought leadership and be a subject matter expert in the designing and recommending appropriate analytic methodology and approach to address key client questions
• Lead measurement framework development and define media KPIs linked to the business objectives
• Build the profile of Data and Analytics by packaging and evangelizing best in class client work and provide the clear data and analytics story – why the work is important, the truths that the analytics reveal, and the actions that should follow the analyses
• Work closely with the internal client teams to deliver high-quality execution of a diverse array of client and project deliverables.
• Guide and work closely with the investment, brand experience, and client teams to deliver on 'data-driven' marketing investment decisions (how much, where, when, which channels, etc...) and demonstrate delivery against business objectives
• Consult with client media teams to align with the strategy, measurement, and optimization plans
• Develop, manage, and mentor a team and lead strategic efforts
• Define and lead the integration of AI-enabled analytics solutions (e.g., automated insights, predictive outputs, anomaly detection) across client engagements to enhance decision-making at scale
• Identify and scale AI-driven opportunities to improve efficiency, accuracy, and speed of insight generation across analytics workflows
• Partner with global and cross-functional teams to evaluate, implement, and operationalize AI-powered measurement, modeling, and data solutions

Qualifications

• 10+ years in media, analytics, marketing research, consumer insights, business consulting, or digital advertising analytics
• Experience with large portfolio clients particularly B2B/Commercial and/or gaming business
• People management experience with progressing roles and responsibilities
• Excellent project management, organization, leadership, presentation and communication skills
• Strong grounding in traditional and digital media advertising effectiveness methods including ROI, preferably working knowledge of market mix model results
• Knowledge and interest in learning about the traditional and digital media research measurement vendor marketplace, with the ability to identify and evaluate new capabilities across suppliers
• Experience with competitive reporting systems and interest in the competitive landscape of the technology marketplace
• A team player with proven ability to work well with others, acting both resourceful and collaborative
• Experience with SQL environments and statistical software packages (R, Python)
• Proficiency in Microsoft Office Suite with advanced understanding of Excel
• Experience with visualization tools such as Tableau, GoodData, Datorama