Manager, Data and Analytics
About The Position
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.
Requirements
- Undergraduate degree in Computer Science, Information Systems, Engineering, or a related technical field from an accredited college or university required; Graduate degree 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.
- Proficient with common office technologies, including Windows PCs, Microsoft O365 (Outlook, Word, Excel, PowerPoint, etc.) and web conferencing (Teams, Zoom, Webex, etc.)
Nice To Haves
- Relevant cloud or data certifications (e.g., Microsoft Azure Data Engineer Associate, Databricks certification) preferred
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.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
