Senior Engagement Manager, AI Solutions Delivery

About This Role

The Sr. Engagement Manager, AI Solutions Delivery will lead complex AI solution deployments across Workday's portfolio, including HiredScore and Evisort. This role ensures customers achieve measurable value through safe, scalable, and ethical AI adoption by continuously evolving and applying the Workday AI Delivery Framework.

Responsibilities

• Lead one or more AI solution deployments concurrently, including Workday AI products and acquired solutions (e.g., HiredScore, Evisort)
• Own end-to-end delivery execution, ensuring on-time, on-budget, and high-quality implementations aligned to the AI Delivery Framework
• Partner with Consulting, Product, and Customer AI teams to triage and resolve issues related to model performance, data quality, and AI governance
• Present at Executive Steering Committees, providing transparency on AI risks, model outcomes, and adoption progress
• Support pre-sales activities, helping shape delivery approaches and Statements of Work for AI-enabled opportunities
• Coach and mentor Workday and partner resources in AI deployment practices, data literacy, and model lifecycle management
• Contribute to the ongoing evolution of the Workday AI Delivery Framework by bringing field learnings to refine methodology, tools, and best practices
• Facilitate the transition from deployment to steady-state operations, ensuring a seamless handoff to the CSM and Workday Support teams

Requirements

• 8+ years’ experience leading data-driven solution implementations (FIN, and/or HCM deployments) with demonstrable experience in AI-enabled or data-centric transformation initiatives, involving model deployment, data integration, or ML-based automation technology
• 6+ years proven ability to manage cross-functional SaaS delivery spanning Product and Implementation teams with measurable skills in program governance, risk management, and stakeholder alignment
• 6+ years engaging with executive stakeholders to translate technical outcomes into business value, with the ability to build trust and drive clarity across diverse stakeholder groups
• 6+ years developing teams, mentoring others, and leading through ambiguity with prior consulting experience with SaaS enterprise clients or within complex product organizations

Qualifications

• 8+ years’ experience leading data-driven solution implementations (FIN, and/or HCM deployments) with demonstrable experience in AI-enabled or data-centric transformation initiatives, involving model deployment, data integration, or ML-based automation technology. 6+ years proven ability to manage cross-functional SaaS delivery spanning Product and Implementation teams with measurable skills in program governance, risk management, and stakeholder alignment. 6+ years engaging with executive stakeholders to translate technical outcomes into business value. 6+ years developing teams, mentoring others, and leading through ambiguity with prior consulting experience with SaaS enterprise clients or within complex product organizations.

Nice to Have

• Understanding of with AI and ML concepts — such as data quality, model training/inference, bias monitoring, and ethical AI principles
• Passion for shaping the future of responsible, human-centered AI adoption within enterprise delivery
• Global complex deployment experience
• Ability to support global customers across multiple time zones
• Excellent communication and negotiation skills
• Willingness and ability to travel internationally as required

Skills

* Required skills

Benefits

Certifications