Senior Director, Advanced Analytics & Business Intelligence

BrightSpring Health Services•Lyndon, KY

About The Position

We are seeking an accomplished and forward‑thinking Senior Director, Advanced Analytics & Business Intelligence to lead the next era of enterprise analytics - integrating modern BI, advanced analytics, scalable reporting, and AI into a unified intelligence ecosystem. In this senior leadership role, you will define and execute the enterprise analytics and reporting strategy across Provider, Pharmacy, and Corporate domains. You will drive modernization of our AI‑enabled Health Cloud data architecture, harmonize fragmented capabilities, and create a performant, governed, and trusted reporting environment that supports clinical, financial, operational, and pharmacy outcomes at scale. You will lead teams in transforming complex, siloed data assets into an integrated, AI‑ready analytics and reporting foundation - reducing technical debt, optimizing data engineering architecture, and enabling next-generation capabilities including Generative AI, Agentic AI, RPA, and Retrieval‑Augmented Generation (RAG) backed by domain‑specific vector stores.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Analytics, or related discipline.
20+ years of technology leadership covering enterprise platforms, data systems, reporting ecosystems, and cross‑functional delivery.
12+ years of BI, reporting, and advanced analytics experience with a track record of building and scaling enterprise‑grade reporting and analytics environments.
Proven leadership across Provider, Pharmacy, Corporate, Clinical, Financial, or Operational analytics and reporting domains.
Expert‑level command of Databricks (including Medallion Architecture), Spark, SQL, Python, and modern lake/lakehouse patterns.
Strong proficiency with Azure SQL, Synapse, Data Factory, Power BI, and cloud‑native analytics and enterprise reporting tools.
Demonstrated success modernizing analytics and reporting ecosystems, consolidating technical debt, and simplifying legacy BI/reporting landscapes.
Strong experience in Azure (preferred) or AWS/GCP analytics environments.
Familiarity with MLOps and orchestration frameworks such as MLflow and Airflow.
Deep understanding of healthcare and pharmacy data standards, regulatory frameworks, and secure architecture practices.
Exceptional communication, stakeholder leadership, and executive presence.

Nice To Haves

Experience with vector databases (FAISS, Pinecone, Weaviate) and RAG pipelines.
Knowledge of Generative AI and Agentic AI frameworks (LangChain, AutoGen).
Background in provider or pharmacy analytics, reporting, security, privacy, or enterprise risk.
Experience leading analytics and reporting modernization in large‑scale healthcare or pharmacy environments, including contributions to open‑source ecosystems.

Responsibilities

Enterprise Analytics, BI & Reporting Leadership
Provide executive leadership for enterprise Provider, Pharmacy, and Corporate analytics and reporting strategy, enabling scalable insights for clinical, financial, operational, product, and pharmacy stakeholders.
Drive alignment toward a unified, modern BI, analytics, and reporting architecture - standardizing semantic models, metrics frameworks, governance, and delivery tooling.
Establish enterprise reporting standards, ensuring consistency of KPIs, metric definitions, and visualization patterns across business domains.
Oversee the development and enhancement of enterprise dashboards, scorecards, and operational reports that support day‑to‑day decision‑making as well as strategic planning.
Platform Modernization & Architecture
Lead analytics modernization initiatives - retiring legacy reporting and BI platforms, reducing technical debt, and consolidating data assets into scalable, cloud-native architectures.
Partner with data engineering to design, build, and optimize advanced data platforms including data lakes, lake houses, metadata layers, and AI/ML‑ready pipelines that support analytics and high‑performance reporting consumption.
Ensure BI and reporting platforms support advanced AI workloads—vector databases, multimodal clinical and pharmacy data, RAG pipelines, and real‑time operational insights.
Cross‑Functional Strategy & Governance
Partner across Provider, Pharmacy, Corporate, Technology, Product, and Operations to harmonize analytics and reporting roadmaps, eliminate redundancy, and focus on investment on high‑value enterprise outcomes.
Define enterprise‑wide KPI frameworks, semantic layer structures, and certified datasets that power trustworthy reporting.
Operationalize predictive, generative, and agentic AI solutions across enterprise workflows and integrate AI‑driven insights into business‑critical reporting environments.
Data Quality, Security & Compliance
Embed rigorous data quality, validation, and trust mechanisms into all reporting workflows.
Enforce excellence in data privacy, regulatory compliance, and secure architecture, including HIPAA, FHIR, HL7, NCPDP, and RxNorm.
Team Leadership & Performance
Recruit, develop, and lead high‑performing teams across BI, reporting, analytics engineering, and advanced analytics - driving innovation, reliability, and delivery excellence.
Continuously improve the performance, reliability, scalability, and user experience of enterprise analytics and reporting platforms.