Sr AI Enablement Analyst – Finance & Legal Operations

Roles and Responsibilities

• Partner with Finance and Legal & Compliance teams to identify and prioritize AI and automation opportunities aligned with business value, efficiency, risk reduction, and decision support.
• Work directly with stakeholders to understand and map existing workflows, identify pain points, bottlenecks, controls, and manual processes, then translate those needs into practical AI-enabled solutions and improved process designs.
• Translate prioritized AI opportunities into actionable technical solutions, ensuring alignment between business objectives, data availability, and system integration constraints.
• Support AI use cases across areas such as FP&A, accounting, close and reporting, AP, AR, audit support; regulatory and public policy monitoring and analysis; legal research and advice; corporate governance workflows; global trade and corporate compliance maintenance and training; contract support, and other Finance and Legal & Compliance processes.
• Design, build, test, deploy, and support AI-enabled and data-driven solutions, including custom workflows, scripts, and integrations (not limited to low-code tools), using approved enterprise platforms.
• Develop prototypes, pilots, and production-ready solutions using approved enterprise patterns and governance requirements.
• Guide Finance and Legal & Compliance teams from idea to working solution by providing practical support on business process redesign; data collection, validation, standardization, and integration; testing; documentation; security; supportability; and deployment expectations.
• Partner with architecture, infrastructure, cybersecurity, enterprise applications, data, and integration teams to ensure deployed solutions meet standards for identity, access, logging, resiliency, support, privacy, records handling, and responsible AI usage.
• Support AI-enabled workflows that interact with enterprise systems, data, and approved knowledge sources through governed integration methods.
• Help move solutions from prototype to governed production by supporting testing, ownership definition, deployment readiness, control alignment, and handoff expectations.
• Establish reusable templates, process patterns, and support practices so successful solutions can be repeated across Finance, Legal & Compliance, and adjacent functions.
• Develop lightweight business cases and value measures for deployments, including time savings, cycle-time reduction, reduced manual work, improved accuracy, lower risk, and stronger decision support.
• Create and maintain documentation, knowledge assets, and handoff materials to support adoption, reuse, and operational continuity.
• Participate in early-life support and issue resolution for deployed solutions while helping define longer-term ownership expectations.
• Stay current on emerging AI tools and functional deployment patterns and translate those capabilities into practical recommendations for Finance and Legal & Compliance teams.
• Define solution scope, goals, timelines, and deliverables in collaboration with business and IT stakeholders, and communicate expectations clearly to team members and partners.

Education & Certifications

• Bachelor’s degree in Finance, Accounting, Information Technology, Data Analytics, Economics, or a related field required.
• Relevant finance, process improvement, Microsoft, Azure, AI, cloud, Databricks, automation, or application development certifications preferred.

Experience

• 5+ years of progressive work experience in business transformation (preferred finance or legal and compliance), business systems, process improvement, automation, analytics, AI enablement, or a related field.
• Hands-on experience building, configuring, deploying, or supporting AI-enabled solutions, automations, assistants, or lightweight business applications in an enterprise environment.
• Demonstrated ability to collect, structure, and integrate data from multiple sources into coherent, reliable datasets, and translate business requirements into scalable technical solutions.
• Experience working with data tools such as SQL, Python, or similar for data extraction, transformation, or automation preferred.
• Experience working directly with business stakeholders to identify process improvement opportunities and translate them into practical technical solutions.
• Experience supporting Finance, Legal & Compliance, shared services, or other business operations workflows preferred.
• Experience working across cross-functional initiatives in a multi-site or global environment preferred.
• Experience supporting user adoption, process redesign, or business-led technology enablement preferred.