Fostering creative thinking around how we use data, and we could use data to solve unique business challenges in support of all Marketing activities (Media, Creative, CRM, and eCommerce) Determining new opportunities among existing clients and participating in new business initiatives Contributing to the overall Data & Analysis capability through thought leadership and work innovation Providing support, coaching, and training to assist in career development Were looking for strong, impactful work experience, which typically includes: 12-14 years of experience in analytics or strategy with an advertising agency, management consulting company, or ad tech company Experience working within pharmaceutical and healthcare environments is a plus Experience managing a team of experienced employees Strong analytical, critical thinking, and problem solving skills Experience with modern statistical learning methods (regression techniques, classification models, supervised and unsupervised learning, etc.) Knowledge of digital data technologies (DMPs, Google Analytics, digital pixel tracking, site tagging, etc.) General knowledge of or direct experience with the media industry or CRM platforms are a plus A four-year college degree; advanced degree is a plus Proven leadership ability with strong client relationship skills In-depth knowledge of and passion for online advertising and emerging trends in the digital landscape The ability to thrive in a fast-paced and deadline-driven environment Open to travel as needed Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALL·E, Midjourney) is a plus, especially for tasks like ideation, research, or content generation. Day-to-day, your role includes: Leading and strengthening ongoing client relationships by exceeding expectations across all aspects of the engagement Serving as go-to client and internal resource for strategic issues such as competitive landscape analyses, technology points of view, and budgeting decisions Performing assessments to help clients understand their current marketing and analytics capabilities and identify enhancement opportunities Building and executing a client specific data strategy including performing gap assessments, creating optimal state data plans, and building execution roadmaps Evaluating new online and offline data opportunities in the form of new sources, new technology, client priorities, partnership, etc.