Your work days are brighter here.
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.
About the Team
Come join our team and help shape the future of AI at Workday!About the Role
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.
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
Manage project budget, approve timesheets
About You
Basic Qualifications
6+ years’ experience leading technology or data-driven solution implementations (ERP, HCM, or AI/ML deployments)
Proven ability to manage cross-functional delivery spanning Product and Implementation teams
Demonstrated experience engaging with executive stakeholders to translate technical outcomes into business value
Strong skills in program governance, risk management, and stakeholder alignment
Demonstrated success developing teams, mentoring others, and leading through ambiguity
Demonstrated prior consulting experience with enterprise clients or within complex product organisations
Other Qualifications
Excellent communication and negotiation skills, with the ability to build trust and drive clarity across diverse stakeholder groups
Demonstrable experience in AI-enabled or data-centric transformation initiatives, involving model deployment, data integration, or ML-based automation
Familiarity 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
PMP, PgMP, ACP, SCRUM Maser certification a plus
Ability to support a global customers across multiple time zones
Willingness and ability to travel internationally as required.
Our Approach to Flexible Work
With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
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