Sr. Engagement Manager, AI Solutions Delivery

WorkdayUniondale, NY
14dHybrid

About The Position

This experienced Sr. Engagement Manager, AI Solutions Delivery will be an expert in leading Workday’s AI solution deployments across our expanding portfolio — including HiredScore, Evisort, and other AI-enabled capabilities. This leader will apply and continuously evolve the Workday AI Delivery Framework, ensuring customers achieve measurable value through safe, scalable, and ethical AI adoption. You will lead complex multiple concurrent AI deployments that require close orchestration across Delivery and Consulting, Product, and Data Science teams, including collaboration with Technical Implementation Managers. You’ll play a key role in maturing how Workday delivers AI, resolving complex delivery challenges, and driving delivery excellence across AI solutions. You will be accountable for implementation outcomes, project quality, and profitability, developing key delivery artifacts and maintaining alignment with Workday’s AI deployment standards. You’ll also partner with customer project managers and executive sponsors to ensure clarity, alignment, and business value realization throughout delivery. As an Engagement Manager, you will further provide guidance and direction to both the internal pod teams for Workday-primed projects, as well as Workday Deployment Partners, helping to ensure consistency and quality across AI solution implementations.

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
  • 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
  • Ability to support a global customers across multiple time zones
  • Excellent communication and negotiation skills
  • Willingness and ability to travel internationally as required.

Nice To Haves

  • PMP, PgMP, ACP, SCRUM Maser certification a plus

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 as requested, 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

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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