IT Analyst III focuses on designing, developing, and delivering data intelligence solutions-including Power BI dashboards, cloud data platforms, and AI/ML models-to provide actionable insights for leadership and regulatory operations. Key Responsibilities: • Design, develop, and deliver scalable Power BI dashboards and semantic models using Dataflows Gen2, Direct Lake, and AI-assisted analytics to provide actionable insights to leadership. • Develop and optimize data pipelines with SQL, Python (Pandas/PySpark), and modern frameworks for ingestion, transformation, and analysis of structured and unstructured data. • Architect and manage cloud data solutions in Snowflake, Azure Synapse, Microsoft Fabric, or Databricks, ensuring high-performance modeling and efficient ingestion for analytics and AI. • Design, operationalize, and evaluate AI/ML solutions, including predictive analytics, anomaly detection, classification, forecasting, NLP, and Copilot-enabled analytics. • Build and integrate generative AI, AI agents, and copilots into enterprise workflows using Azure AI Foundry, Copilot Studio, Azure OpenAI, AWS Bedrock, or similar platforms. • Develop API- and JSON-based integrations and data pipelines connecting enterprise platforms-Salesforce, SAP, and external regulatory platforms-to analytics, AI/ML, and agent-driven workflows. • Establish and apply data and AI governance practices-data quality, metadata management, lineage, responsible AI, and enterprise standards-in collaboration with Quality, Regulatory, IT, and Data Governance teams. • Partner with business, Master Data, and digital transformation teams to define data products, KPIs, and AI-driven insights that support healthcare and regulatory operations. • Enable self-service analytics and AI adoption by training users on Power BI, Copilot, and data tools; promote best practices in data literacy and responsible AI usage. Qualifications: • Bachelor's degree or higher in Computer Science, Data Science, Engineering, Statistics, Information Systems, or a related field from an accredited institution. • Seven (7) years of experience in data analytics, business intelligence, data engineering, or data science roles with demonstrable impact delivering data-driven insights. • Hands-on experience with Power BI (including DAX, data modeling, and dashboard design); familiarity with Microsoft Fabric, Copilot, or embedded analytics. • Experience working with modern data platforms such as Snowflake, Databricks, Azure Synapse, or Microsoft Fabric, including data ingestion and transformation. • Proficiency in SQL and at least one programming language (Python preferred) for data manipulation, automation, and analysis (e.g., Pandas, PySpark). • Hands-on experience developing, implementing, or supporting AI/ML solutions using Python or R. • Master's degree in Computer Science, Data Science, Mathematics, Statistics, Finance, or a related quantitative field. • Experience developing generative AI, retrieval-augmented generation, or agentic AI solutions and integrating them with enterprise data platforms and business applications, preferably in regulated environments. • Understanding of data governance, data quality, and metadata management principles within enterprise environments. • Demonstrated curiosity and ability to quickly learn, evaluate, and apply emerging AI technologies to solve business problems and deliver measurable value.