Lead Business Intelligence Engineer (Power BI / Azure)

Required Qualifications
Bachelor's Degree
8+ years of progressive experience in Business Intelligence, Analytics Engineering, Data Engineering, Data Architecture, or related technology disciplines
5+ years of advanced Power BI development experience, including enterprise-scale semantic models, DAX, Power Query, performance optimization, and security implementation
Proven experience designing executive dashboards and enterprise reporting solutions consumed by senior leadership
Experience translating complex business concepts into intuitive data visualizations, KPI frameworks, and executive scorecards
Strong understanding of dimensional modeling, data warehousing methodologies, metadata management, and enterprise data architecture
Experience working with large, complex datasets across multiple business functions and operational domains
Experience implementing row-level security, governance standards, and trusted analytics practices
Demonstrated ability to gather requirements directly from senior executives and business stakeholders
Strong presentation, communication, and data storytelling skills
Experience leveraging AI-assisted development capabilities and integrating AI-powered analytics experiences into reporting solutions
Experience with Databricks, Unity Catalog, Genie, or modern cloud-native analytics platforms
Ability to independently lead highly visible, ambiguous, and complex initiatives with minimal supervision
Strong collaboration skills with cross-functional technical and business teams
Ability to cultivate a culture of belonging, where diversity enhances our ability to understand and serve our members and communities
Healthy curiosity, continuous learning mindset, and passion for innovation
Prior experience working remotely or with geographically distributed teams
Must be passionate about contributing to an organization focused on continuously improving consumer experiences
Desire to work with a fun, ambitious, and committed team of quirky, smart people

Certifications Preferred:
Microsoft Certified: Power BI Data Analyst Associate
Microsoft Certified: Fabric Analytics Engineer Associate
Microsoft Certified: Azure Data Engineer Associate
Microsoft Certified: Azure AI Fundamentals

Qualifications Preferred:
Master's Degree
Hands-on experience with Microsoft Fabric including Lakehouse, Warehouse, Data Factory, Notebooks, Real-Time Intelligence, Semantic Models, and Fabric administration concepts
Experience delivering enterprise reporting solutions for healthcare, insurance, financial services, or highly regulated industries
Experience implementing conversational analytics, AI agents, or natural language query solutions
Experience with data governance, data quality programs, and enterprise metric standardization initiatives
Experience leading analytics modernization or cloud migration initiatives
Experience creating technical training programs, communities of practice, or enablement content
Experience with Agile delivery methodologies and product-centric operating models
Strong understanding of change management and adoption strategies for analytics products