Sr. Engagement Manager, AI Solutions Delivery

Workday•Pleasanton, CA

23h•Hybrid

About The Position

Workday is a leader in enterprise-class, software-as-a-service (SaaS) Human Capital Management and Financial Management solutions. Our AI capabilities are central to our strategy, empowering customers to transform their businesses. The AI Services team is at the forefront of this transformation, responsible for building and delivering AI-powered solutions that drive customer value and business growth. Our team brings a diverse range of skills from across product, engineering, and professional services. We're passionate about innovation and committed to excellence, working to Workday's core values of Customer Service and Integrity. We collaborate closely with our engineering, product, and sales teams to ensure that our customers are successful in adopting AI technologies and realizing their business objectives. 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
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 Haves

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
Willingness and ability to travel internationally as required

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