POSITION SUMMARYThe Client & Customer Experience (C&CE) organization is responsible for the servicing of Cigna customers across multiple lines of business. Within C&CE, the Learning & Knowledge Management arm of Operational Excellence supports the capabilities, tools, and information employees need to serve customers accurately and effectively. The Business Analytics Manager leads a small analytics team that supports Learning & Knowledge Management by delivering high-quality analytics, trusted data, reporting solutions, and lightweight digital solutions. This is a player-coach role for a people leader who remains hands-on in analytics or data engineering, while guiding the work and development of Business Analytics Advisors. A critical aspect of this role is partnering with business leaders to identify opportunities, define problems, and translate ambiguous business challenges into actionable analytical and technology work. The Business Analytics Manager works closely with Learning, Knowledge Management, Operational Excellence, Operations, analytics, and technology partners to shape priorities, guide delivery, and improve learner readiness, knowledge effectiveness, and operational performance. This is a fully remote opportunity for candidates in select geographies. Candidates who reside within 50 miles of the following locations will be required to perform onsite 3 days per week: Bloomfield, CT; Chattanooga, TN; Denver, CO; Scottsdale, AZ.; St. Louis, MO. Team Leadership & DeliveryLead, coach, and develop a team of Business Analytics AdvisorsEstablish clear expectations, provide regular feedback, and support individual development through coaching, skill building, and growth opportunitiesPartner with the Product Owner to align team work to the prioritized backlog and business objectivesProvide day-to-day guidance on analytical approaches, technical solutions, delivery plans, and stakeholder communicationBalance workload across the team, remove barriers, manage dependencies, and personally contribute to delivery when neededEnsure work products meet appropriate standards for quality, governance, documentation, security, and maintainabilityFoster a culture of accountability, collaboration, quality, and sustainable delivery Business Consulting & PartnershipServe as a trusted advisor to Learning, Knowledge Management, Operational Excellence, and Operations leaders, building strong relationships and understanding their strategies, priorities, and challengesProactively engage stakeholders to surface new ideas and identify opportunities for analytics, data, automation, reporting, and lightweight technology solutionsLead discovery conversations to understand business needs, processes, pain points, constraints, desired outcomes, and the decisions solutions must supportGather and clarify business, data, reporting, and functional requirements, distinguishing underlying needs from requested solutionsTranslate ambiguous business challenges into clearly defined, actionable analytics and technology workAlign stakeholder groups on priorities, scope, outcomes, responsibilities, and measures of successHelp business partners prioritize initiatives based on impact, feasibility, dependencies, and capacity, connecting needs to product, analytics, data, and technology roadmapsCommunicate recommendations, tradeoffs, risks, and practical solution approaches in straightforward business language Analytics & Data AnalysisIndependently perform advanced analytics and investigation work for complex or high-priority initiativesGuide development of metrics, KPIs, and measurement frameworks that support Learning & Knowledge objectivesCombine learning, workforce, quality, knowledge, and operational data to identify trends, drivers, gaps, risks, and opportunitiesConnect learning experiences and knowledge usage to downstream outcomes such as proficiency, quality, customer experience, handle time, and escalation behaviorReview analytical approaches and outputs to ensure findings are accurate, clearly communicated, and actionableCommunicate findings through concise written summaries, visualizations, presentations, and recommendations tailored to business partners Data Ingestion, Transformation & QualityDesign, build, and oversee repeatable data ingestion and ETL processes that bring together information from learning platforms, knowledge tools, operational systems, and structured manual sourcesContribute directly to complex data integration, transformation, validation, or troubleshooting work when neededGuide the creation of reusable, well-structured datasets and data models that support consistent metrics, scalable reporting, and future self-service analyticsEnsure appropriate validation, reconciliation, testing, monitoring, and documentation practices are appliedPartner with enterprise data, engineering, security, and platform teams to align solutions with architectural and governance standards Reporting & Lightweight ApplicationsGuide the desi