Director, CLM Enterprise Service

McKesson•Mississauga, ON

54d•CA$126,900 - CA$169,200

About The Position

McKesson is seeking a Director of Enterprise Contract Lifecycle Management (CLM) to lead the delivery, optimization, and ongoing evolution of our enterprise CLM capabilities. This role will oversee how contracts are created, managed, digitized, stored, and integrated across the organization while partnering with business stakeholders to improve efficiency, compliance, and transparency across the contract lifecycle. The Director will work closely with Legal, Procurement, Finance, IT, and business teams to drive adoption, enhance CLM processes, and deliver scalable solutions that support enterprise objectives.

Requirements

Experience leading CLM programs, contract management technology implementations, or related business process transformation initiatives.
Strong understanding of CLM platforms, contract repositories, workflow automation, integrations, and contract data models.
Proven ability to lead cross-functional teams and influence stakeholders across multiple business functions.
Excellent communication, stakeholder management, and problem-solving skills.
Experience operating in large, matrixed organizations.
Familiarity with Agile and Waterfall delivery methodologies.
Strong analytical skills with the ability to translate business needs into scalable solutions.
Experience leveraging AI capabilities within contract management, legal operations, or enterprise workflow platforms.
Bachelor's degree in Information Systems, Computer Science, Business Administration, or a related field.
8+ years of professional experience, including experience supporting CLM platforms, contract management technology, legal operations, or enterprise SaaS implementations.
Proven experience delivering CLM or related enterprise technology solutions (e.g., Conga CLM, Icertis, SAP, Salesforce, DocuSign, Pramata).
Experience leading cross-functional projects and business process improvement initiatives.
Strong understanding of contract management processes, governance practices, and enterprise system integrations.
Experience managing third-party vendors and implementation partners.

Nice To Haves

Master's degree preferred.
Preferred certifications in CLM, project management, or related disciplines.
Familiarity with AI technologies supporting document intelligence, OCR, workflow automation, or natural language processing.
Experience delivering AI-enabled contract digitization, classification, or analytics capabilities.
Experience with enterprise CLM platforms such as Conga, Icertis, Pramata, or similar solutions.
Knowledge of contract digitization, metadata management, and repository governance.
Experience within healthcare, pharmaceutical, distribution, or highly regulated industries.
Experience supporting integrations across ERP, CRM, procurement, legal, and analytics platforms.
Understanding of data governance, security, compliance, and records retention requirements.
PMP or related project/program management certification preferred.
Familiarity with responsible AI principles, model governance, and data quality practices.
Experience partnering with enterprise AI and data teams to deploy scalable business solutions.

Responsibilities

Lead the execution and continuous improvement of McKesson's CLM roadmap and platform capabilities.
Manage end-to-end CLM processes, including contract intake, authoring, approvals, digitization, obligation management, and repository administration.
Partner with Legal, Finance, Procurement, IT, and business stakeholders to identify requirements and deliver CLM enhancements.
Establish and maintain standards for contract metadata, document digitization, and data quality.
Support CLM platform enhancements and integrations with ERP, CRM, sourcing, legal, and analytics systems.
Monitor operational metrics, service performance, and user adoption to drive continuous improvement.
Manage vendor relationships, program deliverables, and resource planning activities.
Ensure adherence to governance, security, compliance, and records management requirements.
Lead user adoption initiatives, change management efforts, and training programs.
Conduct post-implementation reviews and identify opportunities for workflow optimization.
Drive implementation of AI-enabled CLM capabilities, including metadata extraction, contract summarization, clause classification, and risk identification.
Partner with enterprise technology and AI teams to evaluate and deploy solutions that enhance contract management processes.