Lead BI Developer

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence.

And that it will be such Fractalites that will continue to build the company for the next 100 years.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

We’re looking for a Lead Power BI & AI Dashboard Developer to drive the design, architecture, and delivery of next generation analytics solutions across our clients healthcare payer ecosystem. This role blends deep technical expertise with strategic leadership — guiding teams, shaping standards, and championing the adoption of AI powered insights and modern dashboard engineering practices.

You’ll serve as the primary thought leader for BI innovation, ensuring our dashboards evolve into intelligent, predictive, and highly intuitive decision support tools.

• Lead architectural decisions for Power BI, Databricks integration, and AI driven analytics.
• Partner with business and technology leaders to align analytics solutions with organizational goals.
• Drive adoption of modern BI practices, automation, and AI enhanced insights.

• Architect and deliver complex, scalable, and high performance Power BI solutions.
• Oversee semantic model design, DAX optimization, and enterprise data modeling.
• Establish governance frameworks, workspace strategies, and performance best practices.
• Ensure compliance with healthcare regulations (HIPAA, PHI handling, auditability).
• Lead the integration of AI capabilities into dashboards, including:
• Prior expertise in implementing Copilot and other natural language interfaces for PBI dashboards.
• Identify BI reports/processes that can be automated or replaced with GenAI-driven mechanisms (NLQ tools, conversational analytics, automated insights, etc.).
• Prior experience in using DAX formula generation, decomposition trees, anomaly detection and smart narratives.
• Experience in using Azure OpenAI powered summarization and user assist features
• Experience measuring value or ROI from introducing GenAI into traditional analytics workflows, such as:
• faster report development and iteration cycles
• reduced maintenance effort or rationalization of large reporting estates
• improved data accuracy/consistency for complex KPI calculations
• expanded self service access to insights through NLQ or guided analytics
• Expertise in suggesting optimal data models and ability to closely with data engineering to build required pipelines needed for PBI.
• Define best practices for integrating Databricks outputs with Power BI (Direct Query, Delta tables, curated semantic layers) and implement the same.
• Lead analytics initiatives using payer datasets:
• Provider networks and performance
• Utilization management and care management data
• Claims (professional, institutional, pharmacy)
• Eligibility, enrollment, and member demographics
• Build dashboards that support:
• Cost of care and financial performance
• Member segmentation and risk stratification
• Cost/utilization/quality/risk KPIs (e.g., MLR variants, OON%, readmissions/ED rates, membership bridges)
• Network performance & adequacy concepts; VBC categories and tiering/scorecards
• Fraud, waste, and abuse detection
• Regulatory and operational reporting

• Evaluate and introduce modern dashboarding technologies (Streamlit, Dash, Looker, Superset).
• Champion the use of generative AI, conversational analytics, and automated insight generation.
• Lead POC s and innovation initiatives to modernize the analytics ecosystem.
• Stay ahead of industry trends in AI, BI, and healthcare analytics.

• Work closely with business, actuarial, clinical, and operations teams to translate complex requirements into intuitive dashboards.
• Communicate insights and architectural decisions to…