Manager, Business Analytics, AI Reporting

Job Description: • Design, develop, and maintain enterprise-grade dashboards using PowerBI and Tableau • Build and manage Power BI semantic models optimized for both human and AI consumption • Apply DAX best practices, data modeling standards, and documentation practices • Partner with business stakeholders to translate requirements into scalable analytics solutions • Own SQL-based analysis and data validation as the foundation for all reporting, semantic models, and AI-assisted insight • Design AI-ready semantic models with business-friendly naming, descriptions, and classifications • Define trusted measures, verified answers, and visibility rules to support Copilot usage • Leverage Power BI Copilot and Copilot Studio to create AI-assisted insights and guided analytics experiences • Design effective prompts and conversational analytics experiences aligned to business questions • Validate and refine AI-generated insights, understanding where outputs are reliable versus exploratory • Build analytics automation and workflows using Power Automate • Orchestrate AI-enabled workflows that trigger insights, summaries, or alerts based on data changes • Design human-in-the-loop processes for AI-assisted decision support • Enable proactive insight delivery rather than passive dashboard consumption • Ensure analytics solutions adhere to enterprise governance, data quality, and compliance standards • Design reporting and AI experiences that respect row-level security, object-level security, and sensitivity labels • Understand how AI inherits security context and validate outputs against regulated data constraints • Apply responsible AI practices, including awareness of bias, hallucinations, and validation requirements • Translate analytical and AI-generated outputs into clear business narratives • Explain the "why" behind trends, patterns, and AI-identified insights • Frame insights appropriately for executive and operational audiences • Design AI-generated summaries that align with established business language and definitions Requirements: • 3+ years of advanced Power BI expertise, including ownership of semantic models, complex DAX, and executive-ready dashboards; sets quality standards and influences best practices • 3+ years of strong command of SQL, independently performing analysis, validation, and issue resolution across multiple data sources with sound analytical judgment • 5+ years of demonstrated ability to exercise analytical judgment when validating dashboards, datasets, and AI-generated outputs—knowing when results are decision-ready versus investigatory • 5+ years of demonstrated depth in analytics, business intelligence, and reporting, delivering impactful dashboard solutions that support and solve complex business problems with limited guidance • 2+ years of experience designing and delivering enterprise dashboards and visual analytics using Tableau • 1+ years of hands-on experience applying AI-enabled reporting capabilities (e.g., Copilot, Copilot Studio) to real production reporting or insight workflows, with demonstrated understanding of limitations and validation requirements highly desired • Experience in healthcare, PBM, or other regulated data environments • Familiarity with Microsoft Fabric, Power Apps, Oracle and Azure-based analytics platforms • Understanding of business process improvement, project management and quality practices • Demonstrated proficiency in driving analytics automation, leveraging Power Automate to improve scalability, reliability, and efficiency of reporting solutions • Experience working with Google Cloud Platform (GCP), including BigQuery, for large-scale analytical querying, data validation, or integration with enterprise BI and reporting solutions Benefits: • Affordable medical plan options • 401(k) plan (including matching company contributions) • Employee stock purchase plan • No-cost programs for all colleagues including wellness screenings • Tobacco cessation and weight management programs • Confidential counseling and financial coaching • Paid time off • Flexible work schedules • Family leave • Dependent care resources • Colleague assistance programs • Tuition assistance • Retiree medical access