About this role
The Manager, Data and Analytics is a hands-on technical leadership role responsible for the design, development, and delivery of enterprise data and analytics platforms. They define and execute the organization’s data architecture strategy, ensuring scalable, secure, and high-performing data solutions that empower business decision-making. They bring deep technical expertise with strong people leadership, guiding a team of Data Engineers and Analytics Engineers while partnering closely with business stakeholders. The ideal candidate brings a track record of building modern data platforms in Azure, driving best practices, and delivering high-impact analytics solutions. They play a critical part in enabling self-service analytics and advancing data governance across the organization. Responsibilities:
• Provide technical leadership and architectural direction to internal and vendor teams to deliver secure, scalable, and reliable enterprise data solutions • Define, implement, and enforce enterprise data standards, including ingestion, transformation, data quality, and operational monitoring processes • Lead, mentor, and develop a team of Data Engineers and Analytics Engineers, fostering a culture of engineering excellence and continuous improvement • Establish team goals, manage performance, and support career progression through coaching and development planning • Manage team capacity, prioritize workloads, and allocate resources across concurrent initiatives and operational needs • Partner with business and analytics stakeholders to understand requirements, communicate progress, and manage expectations across projects • Ensure data pipelines meet SLAs for availability, freshness, completeness, and accuracy • Establish and maintain data quality frameworks, including monitoring, validation, and alerting strategies • Lead root-cause analysis and resolution of complex data and platform issues across multiple systems • Champion data governance practices, including metadata management, lineage, classification, and access control using Unity Catalog while ensuring compliance with data privacy standards • Architect and evolve a modern Lakehouse platform leveraging Azure Data Lake Storage Gen2, Delta Lake, and medallion architecture (bronze/silver/gold) • Enable advanced analytics and self-service BI by delivering curated semantic models and Power BI solutions • Drive platform performance optimization and cost efficiency, including Databricks tuning, cluster management, and cloud cost governance • Maintain comprehensive documentation, SOPs, and operational runbooks to support scalable and sustainable data platform operations • All other duties as assigned to meet evolving business needs. Qualifications:
• Education: Undergraduate degree in Computer Science, Information Systems, Engineering, or a related technical field from an accredited college or university required; Graduate degree preferred. • Certification/Licensure: Relevant cloud or data certifications (e.g., Microsoft Azure Data Engineer Associate, Databricks certification) preferred • 10+ years of experience designing and building enterprise data and analytics solutions using modern cloud technologies • 5+ years of experience leading technical teams, delivering multiple concurrent projects, and owning architecture and delivery quality • Proven experience building and scaling data platforms on Microsoft Azure, including Azure Databricks and ADLS Gen2 • Strong expertise in Lakehouse architecture (Delta Lake, medallion design) and both batch and streaming data processing (e.g., Structured Streaming, Auto Loader, Event Hubs, Kafka) • Experience delivering semantic models and self-service analytics solutions, including Power BI and dimensional modeling • Experience with DataOps practices, CI/CD pipelines, infrastructure-as-code (Terraform), and orchestration tools (ADF, Databricks Workflows, Airflow) • Demonstrated ability to translate complex business requirements into scalable, reusable data products in partnership with stakeholders; supply chain experience preferred • Demonstrated discretion and confidentiality in handling and protecting sensitive information. • Technical: Proficient with common office technologies, including Windows PCs, Microsoft O365 (Outlook, Word, Excel, PowerPoint, etc.) and web conferencing (Teams, Zoom, Webex, etc.) • Environment: Comfort commuting to/from and working in a 100% on-site setting (listed in this posting), with travel for related meetings/events.