Fractal · 14 hours ago
Lead BI Developer
Palo Alto, CA
Full-time
Hybrid
Senior Level, Lead/Staff
$120K/yr - $150K/yr
8+ years expFractal Analytics is a strategic AI partner to Fortune 500 companies, aiming to empower human decisions in enterprises. The Lead BI Developer will drive the design and delivery of analytics solutions for healthcare payers, leading innovations in Power BI and AI integration while ensuring compliance with healthcare regulations.
AnalyticsArtificial Intelligence (AI)Big DataBusiness IntelligenceConsulting
Hiring Manager
Abhay Pandey
Responsibilities
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 selfservice 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 (DirectQuery, 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 POCs 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 both technical and executive audiences
Support enterprise data governance, documentation, and quality initiatives
Qualification
Required
8–12+ years in BI, data analytics, or data engineering
Strong hands-on experience with Power BI (must-have): Data modeling, DAX, Power Query, Governance / Fabric integration
Proficiency with other BI tools (Tableau, Qlik, Looker, MicroStrategy, etc.)
Understanding of LLMs, GenAI frameworks, Azure OpenAI, prompt engineering, and AI-powered analytics
Deep understanding of healthcare payer data, workflows, and regulatory requirements
Strong architectural mindset and experience defining BI standards and best practices
Has experience working with clients in a consulting organization
Excellent communication and leadership skills
Preferred
Experience with LLM based analytics, prompt engineering, or AI powered automation
Background in data engineering or data science
Experience with government lines of business: Medicaid, Medicare, Dual Eligible
Experience with clinical care programs: Behavioral Health, Maternity Health, Renal
Benefits
Health, dental, vision, life insurance, and disability plans
Company 401(k) Plan after 30 days of employment
11 paid holidays
12 weeks of Parental Leave
Free time PTO policy
Company
Fractal
Fractal is an AI firm with the aspiration to power every human decision in theenterprise.
5001-10000 employees
H1B Sponsorship
Fractal has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (64)
2024 (51)
2023 (55)
2022 (77)
2021 (51)
2020 (49)
Funding
Current Stage
Late StageTotal Funding
$862.67MKey Investors
Srikanth VelamakanniTPG Capital AsiaApax Partners
2025-07-15Secondary Market· $172M
2025-07-12Undisclosed· $5.67M
2022-01-05Private Equity· $360M
Leadership Team
Pranay Agrawal
Co-founder and Chief Executive Officer
Srikanth Velamakanni
Co-Founder, Group Chief Executive & Executive Vice-Chairman
Recent News
2026-01-03
2025-12-21
2025-12-05
Company data provided by crunchbase