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Senior Manager, Data Science (Retail Marketing)
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What they do
A Data Science Manager manages a team of data scientists, machine learning engineers and big data specialists. They lead data mining and collection procedures, ensure data quality and integrity, build analytic systems and predictive models, and test the performance of data science products.
$150,414 / year median in Illinois
+17% projected growth
Job Description
Creating a better framework for our company and your career.
Senior Manager, Data Science (Retail Marketing)
Address:
200 WILMOT
RD,DEERFIELD,IL,60015-04620-00001-2
Job
ID 1785793BR
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Ready to impact the next generation of healthcare technology, products and services? When you join us, your work will set the standards for database platform deployment and shape our solutions for the future. It's an opportunity to reimagine the way we support our nearly 8,500 pharmacy-led, health and well-being retail stores worldwide and our entire organization.
Key Traits
What makes a great technical architect at Walgreens? We're always looking for that special something - those qualities that set a Walgreens team member apart from the rest. Take a look and see how you match up.
Analytical
Collaborative
Insightful
Logical
Problem Solver
Technologically Savvy
Senior Manager, Data Science (Retail Marketing)
Job
ID 1785793BR
Job Summary
The Senior Manager Data Science - Marketing leads unified marketing measurement across Marketing, Loyalty, and CRM, helping teams understand and optimize the incremental impact of marketing investments. This role oversees a team of data scientists responsible for marketing mix modeling, attribution, incremental lift analysis, experimentation, campaign and creative measurement, and audience-level analytics. The Senior Manager integrates large, complex datasets and translates advanced analyses into clear, actionable recommendations that improve customer engagement, optimize marketing effectiveness, accelerate growth, and strengthen loyalty. As a strategic partner to cross-functional leaders and senior executives, this role shapes measurement strategy, influences investment decisions, and builds scalable analytical capabilities across the organization.
Job Responsibilities
Provides management and guidance to multiple groups of data scientists and data analysts to implement the companies data science strategy.
Manages efforts of others in the achievement of the strategic and operational objectives. Leads the area to ensure performance standards and all goals and objectives are met in a timely and organized fashion.
Manages complex data gathering and integrating large volumes of data, performing analysis, interpreting results and developing actionable insights and recommendations for use across the company. Research techniques may include statistical modeling, visualization, machine learning, and data mining.
Makes recommendations regarding the operating plans for specified area, then, based on prevailing conditions may realign the daily operations.
Plans and structures work activities for teams and monitors progress and results. May develop briefs for outside vendors and manages their relationship.
Provides guidance and supervision to teams as they carry out work activities. Recruits and develops staff within area of responsibility in accordance with policy. May manage vendors engaged in big data analysis.
Influences individuals within and outside the department. Prepares and presents reports to all levels of leadership and staff.
May develop budget for functional area. Manages budget to plan and is responsible for meeting delivering against budgetary goals and objectives.
Stays abreast of industry leading best practices and brings them to the attention of the leadership team for innovative application.
Develops and leverages partnerships (and relationships) with internal and external stakeholders to meet business needs.
Oversees and manages managers, supervisors and individual contributors. Allocates available resources to meet operating objectives. Ensures the ongoing training and development of direct reports.
Develops and mentors staff through onboarding, open communication, training and development opportunities and performance management processes builds and maintains employee morale and motivation ensures the team is appropriately staffed with required competencies fosters a diverse and inclusive workplace.
About Walgreens
Founded in 1901, Walgreens (www.walgreens.com) proudly serves nearly 9 million customers and patients each day across its approximately 8,500 stores throughout the U.S. and Puerto Rico. Walgreens has approximately 220,000 team members, including nearly 90,000 healthcare service providers, and is committed to being the first choice for pharmacy, retail and health services, building trusted relationships that create healthier futures for customers, patients, team members and communities.
#LI-TO1
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Basic Qualifications
Master's degree in statistics, data science, mathematics, economics OR a quantitative, computational or technical discipline AND at least 4 years of post-graduate professional work experience in a statistical function.
Experience in data science, advanced analytics, or statistics. Ability to interrogate data, perform analyses, interpret data, and present to business audiences.
Deep knowledge of SQL
Deep knowledge of open source data science and statistics packages such as Python, R, Spark, etc.
Experience with Analytics Strategy development.
Experience interacting at the executive level
Experience leading cross functional teams.
Experience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients and vendors) within a matrix organization to develop strategies that meet department goals within budget and timelines.
At least 2 years of experience contributing to financial decisions in the workplace
At least 3 years of direct leadership, indirect leadership or cross functional team leadership
Willing to travel up to 10 percent of the time for business purposes (within state and out of state).
Preferred Qualifications
Graduate degree in statistics, economics, data science, applied mathematics, computer science, or a related quantitative discipline.
Experience leading marketing analytics, measurement, or data science teams.
Expertise in marketing mix modeling, attribution, experimentation, causal inference, and incremental lift analysis.
Experience measuring CRM, loyalty, audience, campaign, content, and creative performance.
Experience partnering with external media agencies, measurement providers, and marketing technology vendors to deliver insights and improve marketing effectiveness.
Proficiency with analytical tools and languages such as Python, R, SQL, and cloud-based data platforms.
We will consider employment of qualified applicants with arrest and conviction records.
The Salary below is being provided to promote pay transparency and equal employment opportunities at Walgreens. The actual hourly salary within this range that you will be offered will depend on a variety of factors including geography, skills and abilities, education, experience and other relevant factors. This role will remain open until filled. To review benefits, please click here jobs.walgreens.com/benefits. If you are applying on a job board or unable to click on the link, please copy and paste this URL into your browser jobs.walgreens.com/benefits
Salary Range:
$125000 - $$218,750.00 / Salaried
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Benefits
Health, dental and vision
•
Retirement Savings Plan (401(k))
Paid time off benefits
Onsite fitness center and health center
Work & life resources
Employee discount
•with a 30-hour work week
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Benefits
- Paid Time Off (PTO)
- 401(k) Plans
- Other Retirement and Savings
- Health Insurance