Manager, Data and Analytics

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    "ExternalDescriptionStr": "<p style=\"line-height: normal; margin-bottom: 0in;\">The <strong>Manager, Data and Analytics</strong> 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.&nbsp;</p><p style=\"line-height: normal; margin-bottom: 0in;\">&nbsp;</p><p style=\"line-height: normal; margin-bottom: 0in;\"><strong>Responsibilities:</strong></p><ul style=\"list-style-type: disc;\"><li style=\"line-height: normal; margin-bottom: 0in;\">Provide technical leadership and architectural direction to internal and vendor teams to deliver secure, scalable, and reliable enterprise data solutions</li><li style=\"line-height: normal; margin-bottom: 0in;\">Define, implement, and enforce enterprise data standards, including ingestion, transformation, data quality, and operational monitoring processes</li><li style=\"line-height: normal; margin-bottom: 0in;\">Lead, mentor, and develop a team of Data Engineers and Analytics Engineers, fostering a culture of engineering excellence and continuous improvement</li><li style=\"line-height: normal; margin-bottom: 0in;\">Establish team goals, manage performance, and support career progression through coaching and development planning</li><li style=\"line-height: normal; margin-bottom: 0in;\">Manage team capacity, prioritize workloads, and allocate resources across concurrent initiatives and operational needs</li><li style=\"line-height: normal; margin-bottom: 0in;\">Partner with business and analytics stakeholders to understand requirements, communicate progress, and manage expectations across projects</li><li style=\"line-height: normal; margin-bottom: 0in;\">Ensure data pipelines meet SLAs for availability, freshness, completeness, and accuracy</li><li style=\"line-height: normal; margin-bottom: 0in;\">Establish and maintain data quality frameworks, including monitoring, validation, and alerting strategies</li><li style=\"line-height: normal; margin-bottom: 0in;\">Lead root-cause analysis and resolution of complex data and platform issues across multiple systems</li><li style=\"line-height: normal; margin-bottom: 0in;\">Champion data governance practices, including metadata management, lineage, classification, and access control using Unity Catalog while ensuring compliance with data privacy standards</li><li style=\"line-height: normal; margin-bottom: 0in;\">Architect and evolve a modern Lakehouse platform leveraging Azure Data Lake Storage Gen2, Delta Lake, and medallion architecture (bronze/silver/gold)</li><li style=\"line-height: normal; margin-bottom: 0in;\">Enable advanced analytics and self-service BI by delivering curated semantic models and Power BI solutions</li><li style=\"line-height: normal; margin-bottom: 0in;\">Drive platform performance optimization and cost efficiency, including Databricks tuning, cluster management, and cloud cost governance</li><li style=\"line-height: normal; margin-bottom: 0in;\">Maintain comprehensive documentation, SOPs, and operational runbooks to support scalable and sustainable data platform operations</li><li style=\"line-height: normal; margin-bottom: 0in;\">All other duties as assigned to meet evolving business needs.</li></ul><p style=\"line-height: normal; margin-bottom: 0in;\">&nbsp;</p><p style=\"line-height: normal; margin-bottom: 0in;\"><strong>Qualifications:</strong></p><ul style=\"list-style-type: disc;\"><li style=\"line-height: normal; margin-bottom: 0in;\">Education: Undergraduate degree in Computer Science, Information Systems, Engineering, or a related technical field from an accredited college or university required; Graduate degree preferred.&nbsp;</li><li style=\"line-height: normal; margin-bottom: 0in;\">Certification/Licensure: Relevant cloud or data certifications (e.g., Microsoft Azure Data Engineer Associate, Databricks certification) preferred</li><li style=\"line-height: normal; margin-bottom: 0in;\">10+ years of experience designing and building enterprise data and analytics solutions using modern cloud technologies</li><li style=\"line-height: normal; margin-bottom: 0in;\">5+ years of experience leading technical teams, delivering multiple concurrent projects, and owning architecture and delivery quality</li><li style=\"line-height: normal; margin-bottom: 0in;\">Proven experience building and scaling data platforms on Microsoft Azure, including Azure Databricks and ADLS Gen2</li><li style=\"line-height: normal; 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