Job Summary

Implements scalable and distributed production pipelines for machine learning applications and other data intensive applications to support advanced data and analytics capabilities and platforms, including data management and integration capabilities across WBA. This position will play a key role in the design and implementation of new and existing platforms to drive and realize data strategy.

• Leads in the design and development of complex software that processes, stores and serves data and machine learning models for use by others.
• Designs and develops complex and large scale data structures and pipelines to organize, collect and standardize data to generate insights and intelligence to support business needs.
• May write complex ETL (Extract / Transform / Load) or ELT processes, designs data stores and develops tools for real-time and offline analytic processing on premise or on cloud infrastructure.
• Ensures that data and machine learning pipelines are scalable, repeatable and secure. Improves data consistency, integrity, Dev Ops and ML Ops.
• Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards.
• Designs data infrastructure for scalability, availability, and reliability.
• Participates in developing technical / business approaches and new or enhanced technical tools. Recommends the right tool and technology to deliver solutions objectively. Evaluates new technologies for continuous improvement.
• Interacts with internal and external peers and management to share highly complex information related to areas of expertise and/or to gain acceptance of new or enhanced technology / business solutions.
• Create technical design documents and supporting materials
• Provides thought leadership to embrace modern AI/ML, data science and data analytics techniques as critical enablers for business decisions.
• Guides and mentors a wide range of audiences.

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.

• Bachelor's degree OR equivalent and at least 8 years of experience in machine learning, software engineering, or data engineering
• At least 5 years of experience working with SQL
• At least 5 years of experience programming in one or more of the following: Python, C, C++, Spark, Scala, and/or Java
• 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 interacting at the executive level
• At least 5 years of experience contributing to financial decisions in the workplace.
• At least 5 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)

• Graduate Degree in a technical discipline and at least 4 years of experience in machine learning, software engineering, or data engineering
• Experience leading a team and being responsible for technical execution and mentoring
• Experience designing and deploying complex ML models deployments at scale in production using open source tools (Kubeflow, Seldon, etc.)
• Experience with DAG-based workflow orchestration systems (Airflow, Prefect, etc.).
• Experience with data processing pipelines using Apache Spark or Databricks
• Experience with ML registries (MLFlow, etc.).
• Experience with CICD pipelines (Tekton, Azure DevOps, GitHub Actions, etc.).
• Experience with configuring Kubernetes in a multi-tenant environment.
• Experience troubleshooting distributed systems and reducing performance and costs
• Experience writing and deploying production-grade Python applications and libraries
• Experience deploying, monitoring, and maintaining event-driven and reactive ML applications
• Experience deploying, monitoring, and maintaining of ML deployment systems for batch and streaming
• Experience with REST API development

We will consider employment of qualified applicants with arrest and conviction records.
#LI-JW1