This role strategically analyzes data from diverse sources using advanced predictive modeling, statistical techniques, and trend analysis to drive informed decision-making and optimize business performance across the enterprise. The ideal candidate leverages AI-powered tools and agentic workflows to accelerate development, automate processes, and deliver intelligent solutions at scale.

Analyze and Interpret Complex Data: Gather, analyze, and interpret diverse data sets to solve ongoing and emerging business problems, predict behaviors, and identify causal relationships, trigger points, and predictive outcomes. Work with relational databases (e.g., Oracle, MySQL) and data warehouse technologies (e.g., Snowflake, Databricks Delta Lake), leveraging internal and external data sources including data lakes and enterprise data warehouses.

Apply Advanced Statistical Methods: Use a broad range of advanced statistical techniques to quantify data variances and support data-driven decision-making through traditional and advanced modeling methodologies.

Develop Predictive Models and Business Cases: Build, test, and validate predictive models using real-world data samples, including linear regression, logistic regression, and time-series modeling. Develop business cases and complex analytical models using big-data analytics and visualization tools such as Tableau and Power BI, to recommend improvements to business processes, financial outcomes, and operating models.

Deliver Insights Through Visualization and Storytelling: Create dashboards, reports, and visual analytics that clearly communicate insights to business partners. Advise stakeholders on patterns, relationships, and trends in data to inform strategic direction, performance improvements, and business outcomes.

Lead and Influence at Scale: Lead significant, high-impact analytics initiatives with strategic autonomy, collaborate closely with senior leadership, and mentor less experienced team members.

Leverage AI-Assisted Development: Use AI-powered development environments (e.g., Windsurf Cascade, VS Code with GitHub Copilot, Cursor) to accelerate coding, debugging, testing, and documentation.

Build Agentic AI Solutions: Design and build agentic AI workflows using frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, and Semantic Kernel. Implement RAG (Retrieval-Augmented Generation) pipelines using vector databases, embeddings, and document retrieval techniques.