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