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Senior Director of Business Intelligence - Remote Fully Remote - US

Future Opening: Senior Director of Business Intelligence - Remote

Full Time • Fully Remote - US
Role Overview

The Senior Director of Business Intelligence will report to the Chief Technology Officer (CTO) and be responsible for defining, building, and leading AFC’s enterprise analytics and data capabilities. This role owns both the Business Intelligence platform and the underlying data engineering function, ensuring AFC can reliably derive insights across corporate and franchise operations.

This leader will be business-facing and outcome-driven, partnering closely with executive leadership and operational teams to translate data into actionable insights. In addition to owning the BI stack, this role will drive an ambitious analytics and AI roadmap, moving AFC from descriptive reporting to predictive, prescriptive, and AI-assisted decision-making.

Key Responsibilities

Analytics & Insight Leadership
  • Define and execute AFC’s enterprise analytics strategy across corporate and franchise operations.
  • Partner with executive leadership, operations, finance, and clinical teams to identify and prioritize high-impact analytics use cases.
  • Drive a shift from report-centric BI to insight-driven decision support, including forecasting, performance drivers, and trend analysis.
  • Serve as a trusted advisor to business leaders by translating complex data into clear, actionable insights.
BI Platform & Data Engineering Ownership
  • Own AFC’s end-to-end BI and analytics platform, including:
    • Snowflake (enterprise data warehouse)
    • Azure (data ingestion, pipelines, orchestration, analytics services)
    • Power BI (dashboards, semantic models, executive reporting)
  • Lead both the data engineering and analytics functions, ensuring alignment between pipelines, models, and business reporting.
  • Ensure scalability, reliability, performance, and data quality across the analytics ecosystem.
  • Establish and maintain a single source of truth for enterprise metrics across corporate and franchise entities.
Advanced Analytics & AI Enablement
  • Define and drive AFC’s advanced analytics and AI roadmap, enabling deeper insights and proactive decision-making.
  • Identify and implement use cases such as:
    • Predictive analytics and forecasting 
    • Automated anomaly detection and alerts
    • AI-assisted insight generation and narrative analytics
    • Natural language query and analytics experiences
  • Partner with Technology, Product, and Automation teams to embed analytics and AI into operational workflows.
Data Governance & Trust
  • Partner closely with the CTO to define and implement AFC’s data governance framework, ensuring analytics are accurate, trusted, and aligned with enterprise priorities.
  • Establish governance practices covering:
    • Enterprise metric definitions and ownership 
    • Data quality standards and validation processes
    • Data lineage, documentation, and transparency 
    • Role-based access and visibility across corporate and franchise audiences
  • Reduce reliance on ad-hoc reporting and “shadow BI” by promoting governed, reusable analytics assets.
  • Ensure analytics outputs are consistently understood, trusted, and adopted across the organization.
Team & Partner Leadership
  • Lead a hybrid BI organization composed of external partners and a small internal team, with a clear roadmap to transition toward more full-time resources over time.
  • Set standards for development, documentation, testing, and delivery across data engineering and analytics.
  • Manage and optimize relationships with BI, data, and analytics vendors.
  • Coach and develop internal talent as AFC’s BI function matures.
Technical Environment
  • Data Warehouse: Snowflake
  • Cloud Platform: Azure (data pipelines, integrations, analytics services)
  • Visualization & Analytics: Power BI
  • Data Sources: EHR, revenue cycle systems, operational platforms, franchise systems
  • Advanced Analytics & AI: Azure AI services, machine learning platforms, AI-assisted analytics tools
Qualifications
  • Bachelor’s degree in Data Analytics, Computer Science, Engineering, or related field (Master’s preferred).
  • 10+ years of experience in business intelligence, analytics, or data leadership roles.
  • Proven experience owning and scaling an enterprise BI platform.
  • Strong hands-on understanding of Snowflake, Azure data services, and Power BI.
  • Experience leading both data engineering and analytics teams.
  • Demonstrated success delivering advanced analytics and AI-driven insights, not just dashboards.
  • Strong business acumen with the ability to influence executive decision-making.
  • Experience supporting multi-entity, multi-site environments (healthcare, retail, or franchising preferred).

This is a remote position.

Compensation: $175,000.00 - $200,000.00 per year

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.





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