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Senior Manager, Marketing Science

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BioLife Plasma Services

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Location:
United States , Bannockburn

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Category:
-

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Contract Type:
Not provided

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Salary:

137000.00 - 215270.00 USD / Year
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Job Description:

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.

Job Responsibility:

  • 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
  • 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
  • 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
  • Build strong relationships with cross-functional partners for efficient alignment, coordination, and information sharing across teams
  • Manage and/or partner on projects with vendors and consultants

Requirements:

  • Bachelor’s and/or master’s degree in any area of social science, business, marketing, advertising, or a closely related field
  • Experience with data analytics from end-to-end, i.e., including ideation, proposal creation, getting stakeholder buy-in, gathering requirements, designing analytics models/solutions, building prototypes, and working with IT/Data Science teams to deploy and scale solutions
  • 7+ years of experience in advanced analytics and statistical modeling in the areas of business performance analysis, forecasting, promotion and media effectiveness and optimization, and consumer behavior
  • Excellent verbal and written communication and presentation skills. Able to communicate effectively to all levels of the organization, including senior leadership
  • Bring a growth mindset, curiosity, positivity, intuitive thinking, and a passion for excellence
  • 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, self-organizing maps, etc.), and other AI/ML techniques
  • experimental design
  • and forecasting/sensitivity analysis
  • Comfortable working daily in cloud-based data platforms
  • Expert level MS Excel skills, including advanced functions (e.g., Solver), data analysis, pivot tables, macros, and VBA (Visual Basic for Applications), and applicability of these features for developing and managing financial models for business case development and forecasting
  • Experience working with Power BI, Tableau, or other data visualization software
  • Strong foundation in statistical techniques for quantifying the impact of marketing activities
  • High self-reliance, self-efficacy, initiative, and learning agility
  • Strong at both structured and unstructured problem solving
  • Domestic travel required (up to 10%)

Nice to have:

  • Media agency or retail industry analytics experience
  • Experience with survival analysis (time-to-event, duration, event history analysis, etc.)
  • Knowledge of CRM systems and marketing automation tools
What we offer:
  • Medical, dental, vision insurance
  • 401(k) plan and company match
  • Short-term and long-term disability coverage
  • Basic life insurance
  • Tuition reimbursement program
  • Paid volunteer time off
  • Company holidays
  • Well-being benefits
  • Up to 80 hours of sick time per calendar year
  • Accrue up to 120 hours of paid vacation (for new hires)

Additional Information:

Job Posted:
December 26, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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