AI Process Optimization Expert

SGS

8d•Hybrid

About The Position

We are looking for an AI Process Optimization Expert to drive the identification, design, and delivery of AI-enabled process improvements across our global Finance organization. This role sits at the intersection of Finance, IT, and AI transformation, acting as a key interface between business stakeholders and technical teams to translate operational challenges into scalable AI solutions. The position plays a critical role in advancing SGS’s Finance27+ strategy and broader AI adoption agenda. You will own the end-to-end lifecycle of AI-driven initiatives, from identifying opportunities and defining use cases through to implementation, tracking, and value realization—ensuring measurable impact on efficiency, quality, and scalability.

Requirements

Bachelor’s degree in Business, Finance, IT, or related field
3–5 years in process improvement, transformation, or project delivery
Proven experience working across business + IT environments
Exposure to AI, automation, RPA or digital transformation initiatives
Solid understanding of Finance processes (OTC, RTR, PTP)
Strong ability to translate business needs into structured, actionable use cases
Solid project coordination & stakeholder management
Comfortable working with senior stakeholders and facilitating workshops
Analytical mindset with focus on data, KPIs, and value realization
Proficiency in Microsoft 365

Nice To Haves

Experience in GBS / Shared Services / multinational environments is a strong plus
Power BI is a plus

Responsibilities

Drive the identification and prioritization of AI use cases across Finance processes (OTC, RTR, PTP)
Facilitate workshops with Global Process Owners, FSS teams, and IT to uncover high-value opportunities
Maintain and continuously refine the AI opportunity pipeline aligned with Finance27+ priorities
Translate business challenges into structured AI use case frameworks (problem, data, success metrics, ROI)
Define clear scope, feasibility, and implementation approach in collaboration with IT and AI teams
Assess processes for AI readiness (data quality, standardization, automation potential)
Lead coordination of AI pilots and implementations end-to-end (POCs → deployment)
Manage timelines, dependencies, risks, and stakeholder alignment across Finance and IT
Ensure solutions are aligned with business needs and integrate effectively into existing processes
Track and report progress, KPIs, and realized benefits (efficiency gains, cost savings, quality improvements)
Contribute to executive reporting and dashboards (e.g., Power BI tracking)
Capture lessons learned and best practices to scale successful use cases