DataAnalytics&Management,AVP

**About the job** The Finance Data and AI Office (DART) delivers trusted data, analytics, and AI enabled solutions across Finance, Risk, and Treasury. This role sits within the Automation, Analytics & AI pillar and focuses on building practical, scalable solutions that address real finance challenges end to end—from problem framing and solution design through deployment and adoption—including data governance and internal control capabilities that align to regulatory expectations and standards. **Who we are looking for** The ideal candidate combines strong analytical thinking with business curiosity and judgment and can thoughtfully apply emerging AI capabilities and low‑code/no‑code tools to build data solutions with tangible Finance outcomes—improving insight quality, controls, efficiency, and decision‑making. **What you will be responsible for:** Build Agentic AI & Copilot Solutions for Finance * Design and deliver agent‑based workflows that can plan, reason, and execute tasks across finance processes (with appropriate human oversight and controls). * Implement solutions that use LLM copilots for finance narratives, variance explanations, exception triage, and root‑cause analysis * Combine AI reasoning with deterministic logic (rules, thresholds, accounting constraints, materiality) to ensure reliability in controlled environments Prompt Engineering & Context Design (Finance‑Grade) * Create and refine prompts grounded in finance context (e.g., P&L, cost centers, accounting rules, materiality thresholds) and structure outputs for decision‑making. * Build reusable prompt patterns, evaluation approaches, and guardrails to reduce hallucinations and increase consistency. Apply Data Science Where It Matters * Use analytics and data science methods (e.g., anomaly detection, classification, forecasting support, explainability) to strengthen finance insight and controls. * Analyze large, complex datasets to identify breaks, drivers, trends, and actionable signals relevant