Senior Manager, Data Science

Walgreens•Deerfield, IL

20h•$125,000 - $218,750

About The Position

Manages complex data gathering and integration of large volumes of data, performs analyses, interprets results, and develops actionable insights and recommendations for use across the company. Provides management and guidance to multiple groups of data scientists and data analysts implementing the company’s data science strategy, and manages others’ efforts toward strategic and operational objectives. Research techniques may include statistical modeling, visualization, machine learning, and data mining. The role leads the area to meet performance standards and goals, recommends and adjusts operating plans, structures team activities, and monitors progress and results. It provides guidance and supervision, recruits and develops staff, may prepare briefs for outside vendors and manage vendor relationships, and influences stakeholders inside and outside the department. The role prepares and presents reports to leadership and staff, may develop and manage a functional-area budget, and stays current on industry best practices. It develops internal and external partnerships, oversees managers, supervisors, and individual contributors, allocates resources, and supports training, development, performance management, morale, staffing, and an inclusive workplace. Walgreens serves nearly 9 million customers and patients each day through approximately 8,500 stores in the U.S. and Puerto Rico. The company has approximately 220,000 team members, including nearly 90,000 healthcare service providers, and aims to build trusted relationships that create healthier futures for customers, patients, team members, and communities.

Requirements

Bachelor’s degree and at least 6 years of experience in quantitative or computational functions; or a graduate degree in a quantitative, computational, or technical discipline and at least 4 years of experience in quantitative or computational functions.
Experience in data science, advanced analytics, or statistics, including the ability to interrogate and analyze data, interpret results, and present findings to business audiences.
Deep knowledge of SQL.
Deep knowledge of open-source data science and statistics packages such as Python, R, and Spark.
Experience developing analytics strategy.
Experience interacting at the executive level.
Experience leading cross-functional teams.
Experience establishing and maintaining relationships with internal and external stakeholders in 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 experience.
Willingness to travel up to 10% of the time for business purposes, within and outside the state.

Nice To Haves

Graduate degree in a quantitative, computational, or technical discipline.

Responsibilities

Provide management and guidance to multiple groups of data scientists and data analysts implementing the company’s data science strategy.
Manage efforts toward strategic and operational objectives, ensuring goals and performance standards are met.
Manage complex data gathering and integration, analysis, interpretation, and development of actionable business insights and recommendations.
Use or oversee research techniques such as statistical modeling, visualization, machine learning, and data mining.
Recommend operating plans and realign daily operations as conditions require.
Plan and structure team work activities and monitor progress and results.
Develop briefs for outside vendors and manage vendor relationships as needed, including vendors engaged in big data analysis.
Guide and supervise teams, recruit and develop staff, and oversee managers, supervisors, and individual contributors.
Influence internal and external stakeholders and prepare and present reports to leadership and staff.
Develop and manage a functional-area budget as needed, meeting budgetary goals and objectives.
Stay abreast of industry best practices and bring opportunities for innovative application to leadership.
Develop partnerships and relationships with internal and external stakeholders to meet business needs.
Allocate resources to meet operating objectives and ensure ongoing training and development of direct reports.
Mentor staff through onboarding, communication, training, development, and performance management; maintain morale and motivation, ensure appropriate staffing and competencies, and foster a diverse and inclusive workplace.