Sr. Manager, Data & Analytics

Great brands reflect culture. The best ones help shape it. At Foot Locker, we’re rooted in sport, powered by style, and driven by the communities that move both. From Foot Locker and Kids Foot Locker to Champs Sports, WSS, and atmos, our brands sit at the intersection of sport, style, and self-expression. As part of the DICK’S Sporting Goods family, you’re backed by the resources, reach, and career opportunities of a world-class sports company. That unleashes Foot Locker to keep pushing forward with the agility and edge that define the brand. We’re looking for great people who want to influence culture and the generation that is shaping what’s next. Whether you’re building strategy, shaping innovations, or creating unforgettable customer moments, you’ll contribute to decisions and experiences that define our brands’ impact in the communities we serve. This role is fully remote. Come change the game with us. Apply today! At this time, Foot Locker will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization) Foot Locker, Inc. is seeking an experienced Senior Manager Data & Analytics, an innovative individual with a proven track record in building enterprise level Data Platforms to support cross functional Product development and Engineering across multiple lines of business. You must be inspired by technology and have both passion and expertise in creating innovative technical solutions and Data architectures. You will serve as an expert in Data Platforms and enabling technologies, demonstrate strong leadership and champion Foot Locker Inc. values. This role is expected to drive innovation through collaboration across our Data Engineering, Business Intelligence, Data Platforms, Data Architecture, Data science teams and business to help push Foot Locker, Inc. to the next level. The team is embarking on improving data architecture capabilities further to mature and support our business growth. Our current Data & Analytics Platform technology stack comprises of cloud solutions (Microsoft Azure), Databricks, Confluent Kafka, Snowflake and Power BI. Ideal candidate is expected to have a deep implementation experience around Data Lake and Lakehouse architecture patterns, Event driven architectures, ETL, ELT, Dimensional modeling with strong technology experience in platforms such as Snowflake, Databricks and Kafka.

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