Senior Engagement Manager, AI Solutions Delivery

Workday Workday · Enterprise · NY +63 · Remote

This role is for a Senior Engagement Manager focused on delivering Workday's AI solutions to customers. The primary responsibility is to lead and manage the end-to-end deployment of AI products, ensuring customers achieve value through safe, scalable, and ethical AI adoption. This involves orchestrating cross-functional teams, resolving delivery challenges, and contributing to the evolution of the AI Delivery Framework. The role requires experience in complex solution implementations, AI-enabled initiatives, and managing 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 complex 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
  • Understanding of AI and ML concepts — such as data quality, model training/inference, bias monitoring, and ethical AI principles

Nice to have

  • Project Management Certification
  • 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 global customers across multiple time zones
  • Excellent communication and negotiation skill

What the JD emphasized

  • AI solution deployments
  • AI-enabled capabilities
  • AI adoption
  • AI Delivery Framework
  • AI risks
  • model outcomes
  • AI deployment practices
  • model lifecycle management
  • AI Delivery Framework
  • AI products
  • model performance
  • data quality
  • AI governance
  • AI risks
  • model outcomes
  • AI deployment practices
  • data literacy
  • model lifecycle management
  • AI Delivery Framework
  • AI-enabled or data-centric transformation initiatives
  • model deployment
  • data integration
  • ML-based automation technology
  • AI concepts
  • data quality
  • model training/inference
  • bias monitoring
  • ethical AI principles
  • responsible, human-centered AI adoption