Sr. Manager, Data & Analytics

Overview 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. Responsibilities 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 Qualifications 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 Benefits 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. Salary will be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data. Salary is one component of the Foot Locker, Inc. total compensation package, which includes the below. Foot Locker Benefits: Employee Discount Paid Time Off Medical | Dental | Vision Coverage 401(k) | Roth 401(k) Stock Purchase Plan Life Insurance Flexible Spending Account Opportunities for Advancement Tuition Reimbursement for Qualified Courses Strong Company Culture Employee Resource Groups