Sr. Director, Engineering Manager- Digital Agents & Integrations

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Position Summary

The Sr. Director Engineering Management - Digital Agents & Integrationsis responsible forbuilding leading and developing the engineering team that delivers McKessons digital agent and integration capabilities for the contact center technology portfolio. This role leads engineers working within the conversational AI platform to develop digital agent reference models across voice chat and email channels and the integration engineering team building andmaintaininginterfaces between the digital agent platformCCaaSplatforms CRM systems and enterprise systems of record. The position manages a blended delivery model that includes employees and embedded vendor engineers.

This leader is accountable for team performance talent development hiring engineering practice maturity and capacity planning. The Sr. Director partners with solution architects on technical direction service managers on delivery priorities and transformation program leadership on resource allocation. By championing AI-enabled engineering practices fostering a culture of technical excellence and ensuring security and compliance standards are embedded in engineering workflows this leader ensures the digital agent and integration engineering function delivers the quality velocity and innovation required to support McKessons enterprise contact center strategy.

Key Responsibilities

• Lead and develop the digital agent and integration engineering team managing performance career development hiring and talent retention for a high-impact technical team
• Manage a blended delivery model that includes employees and embedded vendor engineers ensuring effective collaboration knowledge transfer and team cohesion across all resources
• Drive engineering practice maturity across the digital agent and integration domainsestablishingstandards for code quality testing deployment practices platform configuration management and security compliance
• Own capacity planning and resource allocation across digital agent and integration engineering balancing transformation delivery demands with steady-state operational needs
• Coordinate with solution architects on technical direction for the conversational AI platform integration architecture and agent design patterns across voice chat and email channels
• Ensure delivery velocity and quality for digital agent reference model development integration builds and platform enhancements aligned with the service roadmap
• Manage vendor engineering relationships at the execution level ensuring embedded vendor engineers deliver expected value and platformexpertisewhilemaintainingknowledge continuity
• Champion the adoption of AI-enabled engineering practices across the team including AI copilots for development AI-driven testing and quality assurance and intelligent automation of engineering workflows
• Foster an engineering culture that attracts andretainstop talent through investment in developer experience technical community building and continuous learning opportunities
• Ensure engineering practices meet McKessons security compliance and regulatory requirements embedding security-by-design principles into development workflows and platform configurations

Minimum Requirements : Degree or equivalentexperience. Typically requires13 years of professionalexperience and 6 years ofdiversified leadership planningcommunication organizationand people motivation skills (orequivalent experience)

Physical Requirement: General Office Demands We are Flex and Connect with 2 days a week in offic

Critical Skills

• Proven leadership experience building and managing engineering teams of 5 engineers in software development platform engineering or systems integration environments
• Strong understanding of conversational AI platforms digital agent design or AI/ML-powered product engineering with familiarity with platforms such as Google CCAI Amazon Lex or similar
• Experience managing blended delivery models that combine internal engineering talent with embedded vendor or partner engineering resources
• Extensive experience leading engineering teams responsible for platform engineering AI-powered applications or enterprise integration development.
• Knowledge of integration patterns API design and data flows across multi-platform technology ecosystems (CRMCCaaS AI platforms systems of record)
• Applied AI fluency - active use of AI assistants (Claude Copilot ChatGPT) and engineering automation tools withdemonstratedability to drive AI adoption across engineering teams to improve velocity and quality
• Strong talent development skills including hiring performance management career pathing and building high-performing engineering cultures with strong developer experience
• Experience with Agile/DevOps engineering practices CI/CD pipelines and engineering performance metrics (deployment frequency change failure rate mean time to recovery)

Nice To Have -

• Understanding of security and compliance requirements in regulated industries with experience embedding security practices into engineering workflows
• Experience managing vendor engineering partnerships and blended delivery models in enterprise environments.
• Experience in healthcare technology or other regulated industries is preferred.

Candidate must be authorized to work in the Canada now or in the future without the support from McKesson.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors including performance experience and skills equity regular job market evaluations and geographical markets. The pay range shown below is aligned with McKessons pay philosophy and pay will always be compliant with any applicable regulations. In addition to base pay other compensation such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson pleaseclick here.

Our Base Pay Range for this position

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