Manager, Data and Analytics

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 organizations 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.