Senior Manager, Business Intelligence

• Lead, mentor, and develop a team of BI analysts and developers.
• Define and execute the BI roadmap aligned with enterprise data and AI strategy.
• Serve as a trusted advisor to senior leaders by translating business needs into analytics solutions.
• Establish best practices for BI development, data governance, and analytics delivery.
• Oversee design and optimization of data models in Snowflake, including fact, dimension, and semantic layers.
• Partner with Data Engineering to ensure reliable pipelines, data quality, and performance optimization.
• Manage Snowflake cost, performance, and scalability, including warehouse sizing and query optimization.
• Promote reusable and scalable data assets across the enterprise.
• Deliver executive-level dashboards, KPIs, and self-service analytics using Power BI, Tableau, or Looker.
• Ensure consistent metric definitions and a single source of truth.
• Drive self-service adoption with strong governance and data integrity.
• Advance analytics maturity from descriptive to diagnostic and predictive insights.
• Integrate AI and machine learning insights into BI products such as forecasting, anomaly detection, and predictive KPIs.
• Partner with Data Science and Engineering to surface model outputs in dashboards and decision-support tools.
• Leverage Snowflake-native and modern AI platforms to accelerate insight delivery.
• Champion responsible AI practices, explainability, and ethical data use.
• Collaborate with Product, Finance, Marketing, Operations, and Engineering stakeholders.
• Translate complex analysis into clear, actionable recommendations.
• Prioritize BI initiatives based on business impact and goals.

• 10+ years in business intelligence, analytics, or data roles.
• 5+ years of people management or technical leadership experience.
• Strong hands-on experience with Snowflake as a cloud data warehouse.
• Advanced SQL skills and strong understanding of data modeling concepts.
• Proven experience delivering enterprise BI solutions using modern visualization tools such as Power BI, Tableau, or Looker.
• Experience or working knowledge of agentic AI applications.
• Proven ability to communicate insights to executive and non-technical audiences.
• Experience integrating AI/ML outputs into BI dashboards and workflows (preferred).
• Familiarity with predictive analytics, forecasting, or anomaly detection use cases (preferred).
• Experience with dbt, Airflow, or modern data transformation and orchestration tools (preferred).
• Knowledge of data governance, data catalogs, and metric layer frameworks (preferred).
• Background with cloud platforms such as AWS, Azure, or GCP (preferred).
• Experience supporting analytics in a fast-growing or highly matrixed organization (preferred)., * Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business, or a related field.
• Master's degree preferred.

This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benefits package. Qualified applicants must be willing and able to work on a w2 basis.

Salary: $147,500 - $180,125/ yr. w2