Sr. Engagement Manager, AI Solutions Delivery

Workday Workday · Enterprise · Pleasanton, CA +51 · Remote

This role is for a Sr. Engagement Manager focused on leading Workday's AI solution deployments, including acquired solutions like HiredScore and Evisort. The manager will apply and evolve the Workday AI Delivery Framework to ensure customers achieve measurable value through safe, scalable, and ethical AI adoption. Responsibilities include leading complex AI deployments, resolving delivery challenges, ensuring project quality and profitability, partnering with customer stakeholders, and coaching internal and partner resources. The role requires experience in data-driven solution implementations, AI-enabled transformations, and managing cross-functional SaaS delivery.

What you'd actually do

  1. Lead one or more AI solution deployments concurrently, including Workday AI products and acquired solutions (e.g., HiredScore, Evisort)
  2. Own end-to-end delivery execution, ensuring on-time, on-budget, and high-quality implementations aligned to the AI Delivery Framework
  3. Partner with Consulting, Product, and Customer AI teams to triage and resolve issues related to model performance, data quality, and AI governance
  4. Present at Executive Steering Committees, providing transparency on AI risks, model outcomes, and adoption progress
  5. Support pre-sales activities as requested, helping shape delivery approaches and Statements of Work for AI-enabled opportunities

Skills

Required

  • 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
  • 3+ years' experience managing Workday deployments
  • 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

Nice to have

  • Project Management Certification
  • 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
  • ACP or SCRUM Maser certification a plus
  • Ability to support a global customers across multiple time zones
  • Excellent communication and negotiation skills

What the JD emphasized

  • AI solution deployments
  • AI Delivery Framework
  • model performance
  • data quality
  • AI governance
  • model lifecycle management