Business Intelligence Lead

The Provider Data Business Intelligence Lead is an experienced data analytics and business intelligence professional responsible for advancing provider data transparency, governance, operational enablement, automation, controls, and performance measurement. You will lead the collection, integration, analysis, visualization, and interpretation of complex data. This data includes provider, customer service, claims, enrollment, and operational information. The goal is to produce actionable business insights that support enterprise strategy and improve consumer and provider experiences.

The Provider Data Business Intelligence Lead serves as a strategic advisor to operational leadership, identifying key areas of focus, defining success metrics, measuring attainment, and enabling data-driven decision-making across business functions. You will work independently with broad latitude, exercising sound judgment on complex issues that require analysis of variable factors and determination of the best course of action.

This position is critical to strengthen data stewardship and controls, reducing process inefficiency, inconsistent performance and increasing automation. The position will also identify and advance value-driven automation strategies, including artificial intelligence, robotic process automation, bots, automated quality controls, and other operational enablement solutions.

40% Lead automation and workflow enablement initiatives by identifying opportunities to reduce manual work through process modification, AI, RPA, bots, and automated toolsets; partner with technology and operations teams from evaluation through implementation; measure realized benefits such as efficiency, quality, cost avoidance, and cycle-time reduction; and deliver scalable, governed data solutions and leadership insights that reduce reliance on manual or inconsistent processes.

25% Lead data stewardship and governance for provider data by defining, validating, monitoring, and documenting data journeys, business rules, quality standards, and controls; improving data transparency, accuracy, and accountability; overseeing automated data quality monitoring and remediation

20% Conduct complex data analysis to support business operations, leadership requests, audits, investigations, and strategic initiatives; identify trends, root causes, and improvement opportunities; and translate ambiguous business questions into actionable insights.

15% Develop and required reporting, including business intelligence dashboards, visualizations, scorecards, recurring reports, and executive-level reporting while ensuring accurate, timely, and audit-ready outputs through strong stakeholder partnership, validated data sources, and effective reporting controls while ensuring reporting and analytics processes align with enterprise governance, compliance, privacy, and security requirements.

This role description in no way states or implies that the key accountabilities above are the only ones being performed by the individual(s) with this role description. The individual(s) may be called upon and required to follow other instructions or perform other duties and tasks requested by his or her supervisor, consistent with the purpose of the position, department and/or company objectives.

• Bachelor's degree or equivalent experience in data analytics, business intelligence, information systems, healthcare, business, statistics, computer science, or a related field

• 10 or more years of experience in data analysis, business intelligence, reporting, or analytics

• Advanced experience working with large, complex enterprise datasets

• Strong ability to analyze data, create visualizations, and generate insights that solve business problems and inform strategy

• Advanced proficiency in SQL, SAS, and related analytical tools

• Experience with BI and visualization tools such as Tableau, Power BI, Qlik, or similar platforms

• Ability to translate business needs into technical/reporting requirements and partner across cross-functional teams

• Experience documenting requirements, data definitions, and reporting logic

• Working knowledge of healthcare data and strong executive-level written and verbal communication skills

• Ability to work independently, exercise sound judgment, and support continuous improvement of consumer, provider, and operational experiences

• Advanced analytics skills, including…