Remote Senior Data & Analytics Leader

Foot Locker

United States

On-site

USD 140,000 - 170,000

Full time

9 days ago

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Benefits offered by this job

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 C

Strong Company Culture

Employee Resource Groups

Job summary

Foot Locker, Inc. is seeking an experienced Senior Manager Data & Analytics to lead a global data engineering team and architect enterprise-scale data platforms across product development and engineering.

The role emphasizes cloud-native design using Snowflake, Databricks, Kafka, and Power BI to enable descriptive, diagnostic, and predictive analytics. The position requires deep technical leadership, strong collaboration with cross-functional teams, and a focus on operational excellence,

Qualifications

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.
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.

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