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Vice President, Data Science, Client Solutions About the Company Well-established marketing, communications & advocacy agency Industry Marketing and Advertising Type Privately Held About the Role The Company is seeking a Vice President of Data Science for Client Solutions to take on a pivotal leadership role within their Data Science team. The successful candidate will be responsible for leading a team that handles a variety of consulting projects, including client business intelligence, audience analytics, data strategy, and the integration of AI. This role is focused on partnering with key life sciences clients to harness the power of data and analytics in areas such as commercial and brand strategy, medical affairs scientific strategy, and clinical development. The VP will be at the forefront of strategy and thought leadership, driving the design and development of innovative data-driven solutions and expanding the use of advanced statistical frameworks for predictive market insights. Additionally, the role involves growing the business by ensuring that data analytics solutions contribute to new client acquisition and business development, and by being a trusted consultant to clients, guiding them through the complexities of data science research and its application to their marketing efforts. Candidates for this position must have a Master's degree or MBA with a business focus, and at least 10 years of experience in marketing consulting or the pharma industry. An in-depth knowledge of integrated marketing and CRM disciplines, as well as experience in digital marketing and media, is essential. The role requires an entrepreneurial spirit, the ability to lead and collaborate effectively, and a deep understanding of the life sciences sector, with direct experience in various functional areas. The ideal candidate will be adept at translating complex topics into simple terms for a range of stakeholders and will have a strong preference for those with experience in pharma life science. Travel Percent Less than 10% Functions Data Management/Analytics Information Technology