Senior Manager, Supplier to Serve

About the role

The Senior Manager will lead advanced analytics, automation, and AI-driven transformation initiatives across the Supplier to Serve (STS) and Finance Operations ecosystem. This role is responsible for designing, building, and scaling data-driven and AI-enabled solutions that reduce financial leakage, automate dispute and claims processes, and improve end-to-end supplier payment accuracy.

Responsibilities

• Rapidly prototype solutions using vibe coding / low-friction development approaches (Python, SQL, notebooks, GenAI-assisted coding, prompt-driven workflows)
• Design and deploy AI-assisted decisioning for root cause identification, claim validation, and exception classification
• Partner with Tech, Genpact, and internal automation teams to move prototypes into scalable production solutions
• Lead and develop a high-performing analytics and automation team
• Translate complex analytics and AI outcomes into clear, executive-ready insights
• Support policy, audit, and compliance requirements through transparent and explainable analytics
• Identify opportunities to eliminate manual work through automation and AI-driven workflows
• Establish governance, controls, and success metrics for automated and AI-enabled processes
• Perform forensic analysis of high-value disputes, shortages, and claims to determine true root cause
• Partner with US and global teams to recover funds, prevent repeat issues, and improve upstream controls
• Lead enterprise-scale analytics and data science programs across Supplier to Serve and retail finance operations
• Develop predictive, diagnostic, and forensic analytics to identify leakage, systemic defects, and control gaps
• Build reusable analytics frameworks and dashboards using SQL, Python, Dataiku, Tableau, Power BI, and cloud platforms
• Drive anomaly detection and trend monitoring across AP, claims, shortages, and carrier collections
• Lead automation initiatives across disputes, claims, invoice exceptions, and supplier reconciliation using AI, GenAI, and rule-based automation

Requirements

• 10+ years of experience in analytics, data science, automation, or finance transformation, with leadership responsibility
• Proven ability to build and scale automation and AI-enabled solutions, not just analyze data
• Strong problem-solving mindset with comfort operating in ambiguity
• Hands-on experience with SQL and Python
• Experience with GenAI tools and AI-assisted development (prompt engineering, rapid prototyping, vibe coding)
• Experience automating workflows across disputes, claims, reconciliations, or exception management
• Familiarity with big data concepts (Spark, Hadoop) and visualization tools (Tableau, Power BI)
• Strong understanding of retail, supply chain, and finance operations
• Ability to connect analytics and AI solutions directly to business outcomes

Qualifications

• Bachelor's or Master’s degree in Data Science, Analytics, Engineering, Finance, Computer Science, or related field
• Experience in automation, AI, or process transformation is a strong plus
• Master's degree in accounting, finance, information technology, business, or related area and 2 years' experience in accounting, finance, information technology, or related area

Benefits

• Competitive pay
• Performance-based bonus awards
• Health benefits
• Financial benefits
• Paid time off benefits
• Short-term and long-term disability
• Company discounts
• Military Leave Pay
• Adoption and surrogacy expense reimbursement
• Education benefit program