Director, AI & Digital Solutions Capabilities

Key Responsibilities

• · Procurement digital and AI strategy: Set the vision and strategic direction for how digital, data, and AI will reshape Procurement. Translate enterprise and business priorities into a coherent multi-year transformation agenda, future-state capability roadmap, and differentiated value proposition.
• · AI transformation and value agenda: Own the AI-enabled transformation thesis and identify the few enterprise big bets capable of materially improving cash flow, savings, productivity, decision quality, resilience, compliance, and stakeholder experience. Define value cases, success measures, and mechanisms for sustained value realization.
• · Agentic AI and future-state capability ecosystem: Define Procurement's ambition and roadmap for agentic and multi-agent AI, including target operating models, human and agent accountabilities, orchestration principles, responsible scale, and increasingly autonomous workflows. Ensure platforms, intelligent products, AI-ready data, reusable services, and experiences form a connected ecosystem.
• · Enterprise alignment and operating model: Serve as the senior strategic integrator across Procurement, GPOs, JJT, data teams, enterprise AI teams, and partners. Align business strategy, process ownership, requirements, architecture, delivery roadmaps, governance, decision rights, and accountabilities into one executable enterprise agenda.
• · Strategic portfolio and investment governance: Shape and govern the portfolio of digital and AI investments, including prioritization principles, sequencing, funding choices, enterprise dependencies, and trade-offs. Concentrate resources on scalable capabilities and stop, redirect, or consolidate lower-value and fragmented activity.
• · Experience, adoption, and workforce transformation: Define the enterprise strategy for experience, adoption, and organizational readiness. Shape persona journeys, communications, learning, feedback, behavior change, and the evolution of Procurement roles, skills, and ways of working so that AI capabilities achieve sustained adoption and business impact.
• · External innovation and strategic partnerships: Build an outside-in innovation ecosystem across suppliers, startups, technology partners, and enterprise teams. Anticipate market and technology shifts, translate emerging possibilities into pragmatic strategic choices, and accelerate differentiated capabilities through partnerships and reuse.
• · Executive influence and organizational leadership: Advise senior leaders on strategic opportunities, investment choices, trade-offs, dependencies, and risks. Build alignment around difficult decisions, create a compelling transformation narrative, and lead multidisciplinary teams with enterprise thinking, inclusion, accountability, and innovation.

Key Outcomes

Education

Mandatory:

Preferred:

Preferred Skills:

• Advanced Analytics, Business Intelligence (BI), Business Savvy, Cross-Functional Collaboration, Data Analysis, Data Governance, Data Privacy Standards, Data Quality, Developing Others, Inclusive Leadership, Leadership, Master Data Management (MDM), Performance Measurement, Process Improvements, Resource Planning, Software Development Management, Tactical Planning, Team Management, Transparency Reporting, Workflow Analysis