Senior Manager - AI & Intelligent Automation

Manager/ Senior Manager- AI & Intelligent Automation

The Senior Manager AI & Intelligent Automation is expected to be fully hands on and responsible for driving HR Operations (Hire to Retire), Finops (Procure to Pay, Order to Cash and Record to Report) and Cross Functional Integration (System Integration of AI solutions with MSD, ServiceNow and JD Edwards)

This role is uniquely focused on embedding AI capabilities directly into our core enterprise platforms, maximizing our existing point solutions, and deploying leading-edge Gen AI and automation agents.

Key mission is to transform high-volume Finance (P2P, O2C, R2R) and HR (H2R) transactional workstreams into highly autonomous, data-driven, and value-generating engines optimized for the global staffing ecosystem.

Key Responsibilities-

ERP Optimization & Integration

• MS Dynamics, JD Edwards (Oracle) & ServiceNow
• Embed AI models directly into ERP workflows to eliminate data silos.
  Leverage ServiceNow AI workflows to orchestrate cross-functional Finance/HR requests.
• Optimize core ERP master data using predictive and self-healing data algorithms.

Point Solution Acceleration

• Procurement: Sourcing/Procurement Systems, MSD Exp Management & Concur (T&E) O2C and R2R : In built functionalities of MSD, ServiceNow and JD Edwards
• P2P: Maximize Sourcing / Procurement system and Exp Management System with AI for automated invoice ingestion and fraud detection.
• O2C: Optimize in-built Billing, Collections and Cash Management Tools for predictive cash application and autonomous collections.
• R2R: Leverage in-built functionalities for automated balance sheet reconciliations and smart journal entries.

AI & Automation Ecosystem

• GenAI: Copilot, ChatGPT RPA/Agents: UiPath, Automation Anywhere
• Deploy Microsoft Copilot, and ChatGPT to build tailored internal assistants. Transition static RPA scripts into cognitive, AI-driven digital workers.
• Build custom LLM wrappers for processing staffing contracts, timesheets, and invoices.

Governance & Value Realization

• Enterprise AI Frameworks
• Establish a rigorous AI governance framework addressing GDPR, CCPA, and data privacy.
• Define, track, and report on hard ROI metrics (e.g., FTE efficiency, cycle-time reductions).
• Lead change management to upskill GBS talent into "human-in-the-loop" oversight roles.

Qualifications & Experience

• Education: Bachelors or Master’s degree in Computer Science, Data Science, Finance, Business Administration, or a related quantitative field. Advanced AI certifications or an MBA are highly desirable.

• Experience: 12+ years of progressive leadership experience within Global Business Services (GBS), BPO, Shared Services, or Management Consulting.

• Technical Architecture Ecosystem: Proven track record of architecting AI solutions across multi-ERP environments (SAP S/4HANA, MS Dynamics, Oracle Fusion, ServiceNow) and integrating niche point solutions (HighRadius, BlackLine, Ariba, Concur).

• AI & Automation Depth: At least 4+ years of hands-on experience deploying AI/ML, LLMs (Claude, ChatGPT, Copilot), and Intelligent Automation platform workflows (UiPath, Automation Anywhere).

• Domain & Industry Expertise: Deep functional knowledge of Finance (P2P, O2C, R2R) and HR (H2R) operations, ideally within a high-volume global staffing, recruitment, or contingent workforce ecosystem.