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Lead BI Developer
Lead BI DeveloperFractal • Palo Alto, CA, US
Lead BI Developer

Lead BI Developer

Fractal • Palo Alto, CA, US
[job_card.1_day_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

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.

Role Overview :

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.

Key Responsibilities

Leadership & Strategy

  • 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.

Advanced Power BI Development

  • 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).

    • AI & Intelligent Analytics Integration

  • 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

    • Databricks & Modern Data Engineering

  • 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.

    • Healthcare Payer Domain Expertise

  • 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

    • Innovation & Emerging Technology Leadership

  • 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.

    • Cross Functional Collaboration

  • 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.

    • Required Skills & Experience

  • 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 Qualifications

  • 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

    • Pay :

  • The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is : $120,000 - $150,000. In addition, you may be eligible for a discretionary bonus for the current performance period.

    • Benefits :

  • As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.

    • Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local law.

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