Operations Manager Rx Jobs in Scranton, PA (NOW HIRING)

Chewy Pharmacy Operations relies on timely, trusted data to deliver safe, efficient, and world-class customer experiences across Vet Services and Rx Fulfillment teams. We are looking for a Business Intelligence Manager to lead the analytics strategy, delivery roadmap, and team execution that help Pharmacy Operations leaders and operators understand performance, improve processes, and make better decisions each day. 

In this role, you will partner directly with Operations, Operations Support, Technology, and other stakeholders to understand business problems, operational processes, and decision-making needs. You will lead a team of BI Engineers and Analysts to build scalable, governed data and analytics solutions that support daily business and operations decisions. 

This is a hands-on leadership role. You will be expected to set direction, lead projects, mentor and develop Team Members, improve team mechanisms, and still contribute directly to solution design, technical execution, and deep-dive analysis. Approximately 40% of this role will focus on hands-on execution, with the remainder on strategic ownership, people leadership, stakeholder partnerships, and delivery management. 

• 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. 

• 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. 
• Strong SQL skills and experience building performant data models, curated datasets, dashboards, and reporting layers in a modern cloud data warehouse environment such as Snowflake or equivalent. 
• 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. 

• 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.