Senior Director, AI, Automation & Analytics





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Job Description

Senior Director, AI, Automation & Analytics

Position Summary

The Senior Director, AI, Automation & Analytics will lead the Global Business Services (GBS) digital transformation strategy, driving the adoption and scaling of Artificial Intelligence (AI), Generative AI (GenAI), intelligent automation, analytics, process mining, and digital solutions across the enterprise. This leader will identify and deliver technology-enabled opportunities that improve operational efficiency, elevate employee and customer experiences, and generate measurable business value across global service lines.

Partnering closely with Global Process Owners, IT, Functional Leaders, Delivery Teams, and Responsible AI governance bodies, the Senior Director will develop and execute a portfolio of transformative initiatives supporting Hire-to-Retire, Source-to-Pay, Quote-to-Cash, Master Data Management, and other core business processes. The role is accountable for advancing the organization's digital agenda while delivering approximately $25 million in productivity improvements over a three-year period.

This position leads a global organization through two Director-level leaders responsible for Analytics and Digital Solutions and serves as a key strategic partner in shaping the future of GBS operations.

Scope

Capability Ownership

• Artificial Intelligence (AI) and Generative AI (GenAI)
• Intelligent Automation and Robotic Process Automation (RPA)
• Intelligent Document Processing (IDP)
• Process Mining and Process Intelligence
• Business-Facing Analytics and Insights
• Digital Products and Workflow Solutions
• Citizen Development Governance
• Digital Adoption and Value Realization

Global Reach

Supports global GBS functions including:

• Hire-to-Retire (H2R)
• Source-to-Pay (S2P)
• Quote-to-Cash (Q2C)
• Master Data Management (MDM)
• Additional enterprise service lines

Delivery Model

Enables and supports both captive and outsourced/BPO operations globally.

Technology Environment

Delivers solutions on approved enterprise platforms while complying with IT architecture, cybersecurity, data governance, privacy, and Responsible AI standards.

Leadership Responsibility

Leads a global team of highly skilled AI, automation, analytics, and digital professionals through two Director-level leaders.

Key Interfaces

Partners extensively with:

• Global Process Owners
• IT and Enterprise Architecture
• Functional Leadership Teams
• Responsible AI Governance Committees
• External Technology Partners
• GBS Operations and Delivery Teams

Key Responsibilities

AI, GenAI & Intelligent Automation Strategy

• Define and execute the GBS AI, automation, and analytics strategy aligned with business objectives and transformation priorities.
• Identify and scale high-impact AI and GenAI use cases that improve productivity, decision quality, customer experience, and operational performance.
• Drive enterprise adoption of intelligent automation capabilities, including RPA, workflow automation, and Intelligent Document Processing solutions.
• Establish standards and best practices that enable scalable, reusable, and sustainable digital solutions.

Digital Transformation & Portfolio Management

• Own the portfolio of AI, automation, analytics, and digital transformation initiatives across GBS.
• Prioritize opportunities based on business value, strategic impact, scalability, feasibility, and adoption potential.
• Partner with business stakeholders to translate operational challenges into technology-enabled solutions.

Analytics & Process Intelligence

• Lead the delivery of analytics, reporting, and business insights that support operational performance and strategic decision-making.
• Utilize process mining and advanced analytics to identify inefficiencies, process variation, automation opportunities, and improvement priorities.
• Partner with Global Process Owners to drive continuous improvement and increase straight-through processing across service lines.

Digital Product Leadership

• Oversee digital product strategy, roadmaps, backlogs, and release prioritization.
• Lead agile teams through solution design, development, implementation, and value realization.
• Ensure solutions are designed with a strong focus on user experience, business outcomes, and long-term scalability.

Governance, Adoption & Value Realization

• Ensure all AI and automation solutions operate within established governance, security, privacy, and Responsible AI frameworks.
• Establish governance and operating models for citizen development and low-code platforms.

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