Senior Manager Data and Analytics (2504)

A confidential, highly respected, multi-billion-dollar global retailer is seeking a Senior Manager, Data & Analytics to help lead the continued evolution of its enterprise Data & Analytics platform. This high-impact leadership role will lead a global Data Engineering team while helping shape the architecture, strategy, and modernization of a sophisticated enterprise data environment. Working across Microsoft Azure, Snowflake, Databricks, Confluent Kafka, and Power BI, this leader will drive scalable Data Platform capabilities that support Analytics, Business Intelligence, Data Science, AI, Data Sharing, and API use cases across the organization. The ideal candidate brings deep technical expertise in modern Data Architecture along with proven leadership experience. This person has successfully built and modernized enterprise Data Platforms, understands Data Lake and Lakehouse architecture, batch and streaming pipelines, event-driven architecture, ETL/ELT, and dimensional modeling, and can influence technical direction while developing strong teams and driving execution. RESPONSIBILITIES

• Lead a global Data Engineering team responsible for enterprise Data Platforms, engineering, and day-to-day data operations
• Help define and execute the Data Platform strategy, architecture, roadmap, and modernization priorities across the organization
• Design scalable Data Architecture leveraging Microsoft Azure, Snowflake, Databricks, and Kafka to support batch and streaming data pipelines
• Build and evolve enterprise Data Lake and Lakehouse architecture, reusable components, frameworks, and engineering standards
• Lead enterprise canonical and dimensional data modeling to support descriptive, diagnostic, exploratory, and predictive analytics
• Partner across Data Engineering, Business Intelligence, Data Architecture, Data Science, Product, Technology, and business teams to deliver scalable data capabilities
• Drive architectural and engineering best practices across operational excellence, security, reliability, performance, metadata management, and cost optimization
• Support the full technology lifecycle from architecture and requirements through development, integration, deployment, operations, maintenance, and modernization
• Influence Architects and Engineers across the organization while establishing standards and driving alignment around modern Data & Analytics architecture
• Mentor and develop team members while creating a culture of technical excellence, accountability, collaboration, and continuous improvement
• Ensure platform stability, business continuity, risk mitigation, and successful delivery of critical Data & Analytics initiatives, This is an opportunity to play a meaningful role in the continued modernization of Data & Analytics for a large, complex global organization. The successful leader will have the opportunity to shape enterprise Data Platform strategy, modernize architecture, lead a global engineering team, and build scalable capabilities that enable Analytics, Data Science, and AI across the business. It’s an ideal opportunity for someone who enjoys staying close to the technology while also having the leadership scope and influence to determine where the organization goes next.

• 12+ years of experience across Data Architecture, Data Engineering, dimensional modeling, data ingestion, and transformation design
• 5+ years working within public cloud environments with significant focus on Data Architecture and Big Data technologies
• Deep implementation experience with Snowflake and Databricks, including modern Data Architecture, data pipelines, and capabilities supporting Analytics, BI, Data Science, and AI
• Strong experience designing and implementing Data Lake and Lakehouse architecture patterns
• Experience with event-driven architecture, Kafka, batch and streaming pipelines, ETL, and ELT
• Strong understanding of Master Data Management, Reference Data Management, and Metadata Management
• Demonstrated experience building scalable enterprise data frameworks, architecture standards, and reusable engineering capabilities
• Proven leadership experience managing and developing Data Engineering teams, ideally within a global or highly complex organization
• Ability to remain technically credible while influencing Architects, Engineers, Product teams, business partners, and senior stakeholders
• Strong understanding of platform reliability, security, performance, operational excellence, and cost optimization
• Public cloud experience with Microsoft Azure strongly preferred; AWS or Google Cloud experience also relevant
• Bachelor’s degree in Computer Science or a related field
• Retail, Fortune 500, and Agile/Scrum experience preferred

$140,000-$170,000 per year