Business Intelligence Manager, Pharmacy Operations

What You’ll Do

• Own the BI strategy for Pharmacy Operations domains, ensuring analytics work aligns with business priorities, operational decision-making needs, and scalable data architecture.
• Lead, coach, and develop a team of BI Analysts and Engineers by setting priorities, raising quality standards, clarifying expectations, reviewing work, and helping Team Members grow their technical, analytical, and stakeholder-management skills.
• Partner with stakeholders across Rx Fulfillment, Vet Services, Technology, Operations Support, and related teams to understand their processes, define problems, find opportunities, and translate ambiguous needs into clear analytics priorities.
• Lead multi-functional BI and analytics projects from discovery through adoption, including scope definition, milestone planning, dependency management, risk communication, delivery, and post-launch measurement.
• Own domain-level data products, dashboards, metrics, and reporting mechanisms that are accurate, trusted, scalable, maintainable, and adopted by business teams.
• Establish and improve operating mechanisms for intake, prioritization, metric governance, documentation, data quality, recurring business reporting, and analytics delivery.
• Design and deliver scalable curated datasets, data models, dashboards, semantic layers, and recurring reporting that support Pharmacy Operations.
• Build, review, and improve SQL, data pipelines, ETL/ELT workflows, and BI assets using best practices for performance, reliability, testing, validation, documentation, and long-term maintainability.
• Perform and guide deep-dive analysis and root-cause investigations to explain performance trends, quantify impact, and recommend operational actions.
• Communicate insights, tradeoffs, risks, and progress clearly to technical and non-technical stakeholders, including senior operations and business leaders.
• Champion standards for BI engineering and analytics quality, including code reviews, modeling conventions, metric definitions, validation routines, visualization best practices, and adoption of reusable analytics patterns.

What You’ll Need

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Analytics, or a related field, or equivalent practical experience.
• 5+ years of experience in Business Intelligence, Analytics Engineering, Data Engineering, or a similar analytics role, with experience delivering scalable data and reporting solutions for business or operations teams.
• Experience leading, mentoring, or developing BI, analytics, or data professionals, reviewing work, including setting direction, elevating quality standards, and helping others grow.
• Demonstrated ownership of analytics domains, data products, or business-critical reporting ecosystems beyond individual dashboards, reports, or pipelines.
• Solid understanding of data warehouse and BI concepts, including dimensional modeling, ETL/ELT patterns, metric definitions, data quality, documentation, and governed reporting practices.
• Experience partnering with business and technical stakeholders to understand ambiguous problems, define requirements, manage priorities, and deliver analytics solutions supporting operational decision-making.
• Ability to lead cross-functional projects, communicate tradeoffs and risks, manage dependencies, and drive work from discovery to delivery and adoption.
• Self-starter attitude with strong ownership, sound judgment, and the ability to operate effectively through ambiguity.
• Bonus: Formal people management experience in a BI, analytics, analytics engineering, or data engineering environment.
• Experience with dbt or similar governed modeling frameworks.
• Experience implementing data quality monitoring, alerting, or incident response patterns for analytics datasets.
• Python experience for analysis, automation, or operational analytics workflows.
• Experience supporting pharmacy, healthcare, fulfillment, operations, eCommerce, or other quality-sensitive operational environments.