Manager of IT Data Warehousing & Analytics

We are seeking a strategic and hands-on Senior Manager of IT Data Warehousing & Analytics to lead the design, development, and operation of our enterprise data platform. This role will be responsible for overseeing the implementation of a modern data warehouse using Snowflake and medallion architecture principles, with Tableau as the primary front-end reporting tool. The position is critical in establishing a scalable, governed data foundation to support business intelligence today and enable advanced analytics and AI initiatives in the future., * Lead the architecture, design, and development of the enterprise data warehouse platform on Snowflake using medallion architecture (Bronze/Silver/Gold layers).

• Oversee data ingestion, transformation, and modeling pipelines to ensure data accuracy, scalability, and performance across the business.
• Manage a team of data engineers, BI developers, and analysts responsible for data integration, quality, governance, and reporting.
• Build and optimize Tableau dashboards and reporting solutions to deliver actionable insights to business stakeholders.
• Define and enforce data governance, security, and quality standards across data platforms.
• Collaborate with business units, product owners, and executive leadership to define key metrics and support data-driven decision-making.
• Lay the technical and architectural groundwork for AI/ML readiness, including data cataloging, feature engineering pipelines, and integration points with AI platforms.
• Drive the roadmap for the data platform, balancing short-term delivery needs with long-term innovation and scalability.
• Manage vendor relationships, contracts, and technical partnerships to support the data stack.

• Bachelor s or Master s degree in Computer Science, Information Systems, Engineering, or a related field.
• 8+ years of experience in data engineering, data warehousing, or analytics, including 3+ years in a leadership or managerial role.
• Proven experience with Snowflake and cloud-based data warehouse architecture (AWS, Azure, or Google Cloud Platform).
• Deep understanding of medallion architecture and its application in scalable data solutions.
• Strong experience with Tableau or similar BI tools (Power BI, Looker).
• Knowledge of ETL/ELT processes, data pipelines (e.g., dbt, Airflow, Fivetran), and modern data engineering best practices.
• Experience establishing data governance, lineage, and cataloging frameworks (e.g., Alation, Collibra, Unity Catalog).
• Familiarity with AI/ML platforms and the data requirements for operationalizing advanced analytics.
• Strong leadership, project management, and communication skills.
• Experience in highly regulated or enterprise-scale environments.
• Knowledge of data privacy, compliance, and ethical considerations in data & AI.
• Certification in Snowflake, Tableau, or cloud data platforms is a plus