Director, Artificial Intelligence & Data Science

Key Skills

Advanced Analytics, Algorithms, Data Analysis, Data Modeling, Data science techniques, Data Visualization, Leadership, Machine learning techniques, Python Programming, R Programming, Spark Core, SQL, Statistics

Job Description

Walgreens, one of the nations largest drugstore chains, is included in the Retail Pharmacy USA Division of Walgreens Boots Alliance, Inc., the first global pharmacy led, health and wellbeing enterprise. More than 10 million customers interact with Walgreens each day in communities across America, using the most convenient, multichannel access to consumer goods and services and trusted, cost effective pharmacy, health and wellness services and advice. Walgreens operates 8,175 drugstores with a presence in all 50 states, the District of Columbia, Puerto Rico and the U.S. Virgin Islands. Walgreens Omni channel business includes Walgreens.com. Approximately 400 Walgreens stores offer Healthcare Clinic or other provider retail clinic services. As the neighborhood drugstore and retailer, our goal is to make health and happiness simpler, easier and within reach. And we remain a trusted wellness provider offering convenient access to important health services, such as immunizations and an array of pharmacy services that can help patients improve their health. To our team members, Walgreens represents a unique opportunity to excel in their careers in a welcoming and inclusive environment. We offer the chance to work in a truly supportive environment and be a part of a progressive organization dedicated to the wellbeing of our customers, team members and the communities we all call home. This role oversees a team that implements data science and advanced analytics capabilities and platforms across WBA. This position will also play a key role in the design and implementation of new (or updates to existing) platforms to drive and realize WBA data strategy.

Job Responsibilities

• Utilizes statistical modeling and other data science techniques for descriptive, diagnostic, predictive, and prescriptive analyses. Evangelizes new ideas technologies solutions to gain acceptance from a wide range of audiences
• Interprets and applies data in the most complex analyses, and explains findings to business audiences to improve products and processes
• Sets the vision for manipulation and analyses of large and complex data sets
• Directs the development and delivery of statistical and mathematical analyses to support business decisions enterprise wide or for multiple business functions. Analyses have substantial impact on business operations or outcomes
• Documents projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics
• Directs the design and development of new or complex algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes
• Directs and implements activities that impact the critical directions of the organization. Typically assigned to the most critical and strategic complex high risk undertakings
• Determines leading edge technical business approaches or develops major new technical tools
• Interacts with internal and external peers and management to develop unprecedented solutions that affect several areas
• Guides and mentors a wide range of audiences. Provides guidance regarding analytical approach and iteration of algorithms
• Implements policies and defines approach to strategy achievement for specified area of responsibility.
• Analyzes long term impact of new or anticipated strategies and decisions
• Manages budgets, operational plans and performance requirements for the specified are of responsibility.
• Responsible for meeting budgetary goals and objectives
• Facilitates communication between staff, management, vendors, and other technology resources within and outside of the organization. Shares highly complex information related to areas of expertise. Interacts with senior management to keep abreast of objectives. Interacts with direct reports and peers in management customers vendors to interpret information and improve cross functional processes and programs. Builds and enhances key internal and external contacts.

Basic Qualifications

• Masters degree in statistics, data science, mathematics, economics OR a quantitative, computational or technical discipline AND at least 6 years of post graduate professional work experience in a statistical function
• Deep knowledge of open source data science and statistics packages such as Python, R, Spark, etc.
• 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
• 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.
• Experience presenting findings to all levels of an organization, including the C Suite level.
• At least 5 years of experience contributing to financial decisions in the workplace.
• At least 5 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 a quantitative, computational or technical discipline