Sr. Manager, Data & Analytics

• Lead a global data engineering team, manage all day-to-day data engineering and data operations on the Data platforms globally, ensuring optimum end-user experience and business continuity whilst mitigating risks and meeting delivery milestones.
• Mentor, support, and manage team members and ensure they follow well architected principles focused on Operational Excellence, Cost optimization, Metadata Management, Security, Reliability and Performance efficiency.
• Design, document, and build reusable components and frameworks at scale to support analytics products.
• Design, document and implement product features in collaboration with Products, business and Technology teams
• Design and build Canonical Data and Dimensional Modeling at an Enterprise level to support various analytics initiatives such as Descriptive, Diagnostic/Exploratory and Predictive analytics capabilities
• Participating, recommending best practices in all phases of DevOps architectural activities, including concept definition, requirements analysis, design, development, integration, installation, operations, maintenance, and decommissioning.
• Be a thought leader by helping to define purpose-built Data Platform strategy and lead, influence other solution Architects and Engineers towards building best in class Data and Analytics platforms
• Design Data Architecture leveraging Microsoft Azure, Snowflake and Databricks native capabilities to support Batch and Streaming pipelines for Analytics, Data Sharing, Data Science and API use cases

At Foot Locker, we value innovation, authenticity, and integrity in all that we do.

To uphold the security and fairness of our hiring process, we ask that candidates refrain from using AI tools, including ChatGPT, during interviews and assessments.

To ensure a smooth and secure experience, please review the following guidelines:

• Cameras must be on for all virtual interviews.
• AI tools are strictly prohibited during interviews or assessments.

We appreciate your understanding and cooperation as we work together to create a transparent and equitable hiring experience.

• Bachelor’s degree in computer science or related field
• 12 years of experience in Data Architecture, Dimensional Modeling and understanding Data Ingestion and transformation design patterns and frameworks
• 5 years’ experience in a public cloud environment with a focus around Data Architecture and Big Data Technologies
• Prior experience working with Event driven Architecture and solutions including ETL, ELT, Master Data Management, Reference Data Management, and Metadata Management
• Implementation experience and expert knowledge in Snowflake and Databricks platforms focused on modern data architecture approaches, Data Pipelines & enabling AI, BI and Analytics solutions using Snowflake native capabilities
• Demonstrated Influential leadership experience driving architecture solutions for various data and analytics use cases and influencing multiple stakeholders
• Analytical and problem-solving skills
• Acute attention to detail
• Public cloud experience, preferably Azure, AWS, or Google preferred.
• Prior Retail Industry experience is preferred
• Prior experience operating in an Agile Scrum methodology is preferred
• Previous experience at a fortune 500 company is preferred

The annual base salary range is $140,000 - $170,000.

This range represents the anticipated low and high end of the salary for this position.

This role is also eligible to receive short term incentives that align with individual and company performance.