Senior Manager, Data Science; Marketing

Position: Senior Manager, Data Science (Marketing)
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Job Description About Bio Life Plasma Services Bio Life Plasma Services, a subsidiary of Takeda Pharmaceutical Company Limited, is an industry leader in the collection of high-quality plasma, which is processed into life-saving plasma-based therapies. Some diseases can only be treated with medicines made with plasma. Since plasma can't be made synthetically, many people rely on plasma donors to live healthier, happier lives.

Bio Life operates 250+ state-of-the-art plasma donation centers across the United States. Our employees are dedicated to enhancing the quality of life for patients and ensuring that the donation process is safe, straightforward, and rewarding for donors who wish to make a positive impact. When you work at Bio Life, you'll feel good knowing that what we do helps improve the lives of patients with rare diseases.

While you focus on our donors, we'll support you. We offer a purpose you can believe in, a team you can count on, opportunities for career growth, and a comprehensive benefits program, all in a fast-paced, friendly environment. This position is currently classified as "hybrid" in accordance with Takeda's Hybrid and Remote Work policy. Bio Life Plasma Services is a subsidiary of Takeda Pharmaceutical Company Ltd.

OBJECTIVES/PURPOSE The Sr. Manager of Marketing Science drives and executes strategic initiatives that improve our marketing data and analytics capabilities. This role will leverage advanced analytics techniques and data-driven insights to inform marketing strategies, optimize campaigns, and drive business growth. This role requires a deep understanding of paid, owned, and earned media measurement, strong analytics and insights skills, broad knowledge of marketing technologies, and the ability to communicate complex data insights to senior stakeholders.

This role is critically important for the success of the Global Forecasting, Pricing, and Analytics (FPA) team and reports to the Head of Analytics within the team.

ACCOUNTABILITIES Leadership
* Lead marketing science initiatives in the development and execution of advanced analytics to support marketing strategies and goals.
* Provide thought leadership on marketing measurement techniques, including the trade-offs between controlled experiments, natural experiments, and multivariate statistical models for different situations. Marketing Science
* Partner with our media agency to ensure we are maximizing the output of our media mix model (MMM) partner.
* Deep understanding and experience with creating and managing marketing attribution solutions, i.e., multi-touch attribution (MTA). Ability to build/maintain in-house solutions and/or work with outside partners as necessary.
* Identify and maintain marketing analytics key performance indicators (KPIs) to track and measure performance.
* Partner with data scientists, IT, and consultants to develop advanced analytical models and dashboards related to marketing.
* Ability to perform statistical analyses and tests to quantify the business value of an opportunity.
* Familiarity with AI/ML applications in marketing. Reporting and Data Management
* Ensure the accurate and timely delivery of marketing performance reports and insights.
* Able to translate data into contextualized insights that can be shared across the business
* Know digital media terminology and concepts (e.g., Demand Side Platforms (DSPs), effectiveness vs. efficiency, SEO/SEM, etc.)
* Leverage existing experience with Google Analytics and Google Tag Manager
* Partner with the Data, Digital, and Technology (DD&T) Team to ensure marketing data accuracy, integration, and integrity, and that good data governance practices are in place.
* Develop solutions (dashboards, data visualizations, reports) for real-time operations performance assessment and agile decision-making.
* Design and automate regular data extracts needed by marketing and other partners. Collaboration and Adaptability
* Build strong relationships with cross-functional partners for efficient alignment, coordination, and information sharing across teams. DIMENSIONS AND ASPECTS Technical/Functional Expertise
* Extensive experience across many areas of marketing science; MMM, MTA, Loyalty, Website, Surveys, Paid/Owned/Earned Media.
* Experience with SQL, Python, and R for data analysis and model development.
* Strong analytical skills with a solid foundation in many of the following statistical and AI/ML methods: regression analysis (continuous, categorical, survival, time-series, and count models, etc.); classification (CART, SVM, Neural Networks, etc.), clustering (k-means/medoid, hierarchical,…