Manager, Data Science

Walgreens; Chicago (IL); On-site; USD 100,000 - 175,000; Full time

Job summary

Walgreens, a national retail and health services company, seeks a Manager, Data Science to lead customer analytics across Marketing, Loyalty, CRM, and Digital. The role focuses on segmentation, propensity modeling, personalization, journey analytics, loyalty analytics, and experimentation to drive growth.

You will integrate large customer datasets, translate analyses into actionable recommendations, and partner with business leaders to build scalable analytical capabilities.

Qualifications

• Bachelor's degree in a quantitative or technical field with at least 2 years of experience in quantitative functions (or graduate degree with at least 2 years).
• Experience with analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS to perform analysis and interpret data.
• Deep knowledge of SQL and experience with open source data science packages (Python, R, Spark).
• Proven ability to build relationships with peers, partners and leadership within a matrix organization to meet department goals within budget and timelines.
• Experience contributing to financial decisions and leading cross-functional teams.

Responsibilities

• Manages daily operational activities for specified areas and oversees project teams and budgets.
• Designs and implements methods to consolidate and analyze large datasets (structured and unstructured).
• Develops software, dashboards, and queries to clean, model, and evaluate data.
• Stays current with analytic methodologies and technologies, fostering innovation.
• Collaborates with business units to drive solutions and communicate effectively with stakeholders.

Skills

Data analytics

Leadership

Stakeholder management

Travel readiness

SQL

Python

R

Big data

Education

Bachelor's degree in quantitative/technical field

Tools

SQL

Python

R

SAS

Spark

Excel

Hadoop

SPSS

Job description

Manager, Data Science

Job ID 1888102BR

Job Summary

The Manager, Data Science supports customer analytics across Marketing, Loyalty, CRM, and Digital, helping teams understand customer behavior, engagement, retention, and lifetime value. This role manages data science workstreams focused on customer segmentation, propensity modeling, personalization, journey analytics, loyalty analytics, audience insights, experimentation (A/B testing), and customer-level performance measurement. The Manager integrates large, complex customer datasets and translates advanced analyses into clear, actionable recommendations that improve customer engagement, strengthen loyalty, inform business decisions, and accelerate growth. As a cross-functional partner to business and analytics leaders, this role helps execute customer analytics strategy, identify opportunities to enhance customer experiences, and build scalable analytical capabilities across the organization.

Job Responsibilities

• Manages the daily operational activities that develop and implement tactical plans for specified area. Oversees team(s) assigned to projects and may manage implementations. Ensures resources are accurately allocated in line with tactical plans and appropriately accounted for.
• Designs, develops, and implements methods, processes and systems to consolidate and analyze diverse data sets including structured and unstructured. Performs as subject matter advisor and may serve as point of escalation and become actively involved, as required, to meet schedules and resolve problems highly complex in nature.
• Manages issues proactively, including timely resolution and the identification of remediation opportunities.
• Develops software programs, algorithms, dashboards, information tools, and queries to clean, model, integrate and evaluate datasets.
• Keeps abreast of new analytic methodologies and technologies.
• Collaborates with functional business units to drive business solutions and direction.
• Establishes credibility with partners while managing expectations. Ensures frequent, continuous and effective communications with team members, and with stakeholders to set expectations and negotiate priorities appropriately, via both formal and informal channels / mechanisms.
• May develop budget for functional area. Manages budget to plan. May be accountable for area budget and delivering against business goals/objectives.
• Stays abreast of industry leading best practices and brings them to the attention of the leadership team for innovative application. May develop partnerships (and relationships) with internal and external stakeholders to meet business needs.
• Allocates available resources to meet operating objectives. Develops and mentors staff through on-boarding, 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.

Basic Qualifications

• Bachelor's degree and at least 4 years of experience in quantitative or computational functions; or graduate degree in a quantitative, computational or technical discipline and at least 2 years of experience in quantitative or computational functions.
• Experience with analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS and/or others to perform analysis and interpret data
• Deep knowledge of SQL
• Deep knowledge of open source data science and statistics packages such as Python, R, Spark, etc.
• 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 2 years of direct leadership, indirect leadership and/or cross-functional team leadership.
• Willing to travel up to 10% of the time for business purposes (within state and out of state).

Preferred Qualifications

• Graduate degree in statistics, data science, applied mathematics, computer science, or a related quantitative discipline.
• Experience leading customer analytics, measurement, or data science teams.
• Expertise in machine learning modeling using customer-level data.
• Experience partnering with external measurement providers and technology vendors to deliver insights.
• We will consider employment of qualified applicants with arrest and conviction records.

Salary Range: $100000 - $$175,000.00 / Salaried