Senior Manager, Marketing Science

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Job description

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Job Description

About BioLife Plasma Services

BioLife Plasma Services, a subsidiary of Takeda Pharmaceutical Company Ltd., is an industry leader in the collection of high-quality plasma that 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. BioLife operates 220+ state-of-the-art plasma donation centers across the United States. Our employees are committed to improving the quality of life for patients and ensuring that the donation process is safe, easy, and rewarding for donors who want to make a difference.

When you work at BioLife, you'll feel good knowing 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.

BioLife Plasma Services is a subsidiary of Takeda Pharmaceutical Company Ltd.

OBJECTIVES/PURPOSE

We are seeking a dynamic and experienced Sr. Manager of Marketing Science to drive and execute strategic initiatives that improve our marketing data and analytics capabilities. You 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 Marketing and Financial Analytics Lead 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.
• Integrity
• Fairness
• Honesty
• Perseverance
• Putting the Patient at the Center
• Building Trust with Society
• Reinforcing our Reputation
• Developing the Business
• Effective Coaching and Counseling Skills

Marketing Science

• Partner with our media agency to ensure we are getting everything we can from 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, 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.

Communication

• Excellent verbal and written communication. Proven data analysis background with the ability to transform analysis into insights, recommendations, and proposals for senior management.
• Ability to communicate complex concepts simply and succinctly.

Decision-making and Autonomy

• High self-reliance, self-efficacy, initiative, and learning agility.
• Strong at both structured and unstructured problem solving.

Interaction

• Manage and/or partner on projects with vendors and consultants.

EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:

Required:

• 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.

Preferred:

• Media agency or retail industry analytics experience a plus.
• Experience with survival analysis (time-to-event, duration, event history analysis, etc.) a plus.
• Knowledge of CRM systems and marketing automation tools a plus.

ADDITIONAL INFORMATION

• Domestic travel required (up to 10%).

BioLife Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.

For Location:

Bannockburn, IL

U.S. Base Salary Range:

$133,000.00 - $209,000.00

The estimated salary range reflects an anticipated range for this position. The actual base salaryoffered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.

U.S. based employees may be eligible for short-term and/or long-term incentives. U.S.based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S.based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

EEO Statement
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