Principal Product Advisor, ME Engagement Management

Workday•McLean, VA

3d•Hybrid

About The Position

This role is a primary driver of the end-to-end engagement, project management, testing, and training approach within GO deployments. You will define how Workday projects should be governed and executed from an engagement perspective, shaping the methods, tooling, and content that delivery teams and partners use to manage scope, schedule, risk, testing cycles, and end‑user readiness. You are responsible for continuously improving project governance frameworks, testing strategies, and training approaches, and for leveraging deployment tools and automation to make these practices consistent, scalable, and insight‑driven. You will translate delivery learnings, escalations, and engagement health metrics into concrete improvements to our deployment playbooks, templates, and workflows, ensuring teams have clear guidance to run successful projects. As a Principal Product Advisor, you lead complex, cross-functional initiatives with a high degree of autonomy, partner closely with senior stakeholders across Product, Services, and Sales, and act as a key subject matter expert for engagement management, project execution, testing quality, and training effectiveness across GO deployments.

Requirements

Demonstrable expertise in enterprise SaaS project and engagement management, with a focus on delivery governance, risk management, and customer success for cloud implementations.
5+ years leading or advising on enterprise software deployments (preferably Workday or similar SaaS), with accountability for project plans, stakeholder alignment, timelines, and outcomes.
Significant experience designing and executing structured testing cycles (e.g., SIT, UAT, regression, cutover validation) and defining testing tools, processes, and acceptance criteria.
Strong hands-on experience with project and portfolio management tools, testing or QA tooling, and enablement/training platforms (e.g., work management tools, test management tools, learning or adoption platforms).

Nice To Haves

Highly adaptable; comfortable navigating evolving product and deployment strategies
Communicates and collaborates effectively with cross-functional partners (Product, Services, Engineering, Partners, and Customer teams).
Learns new technologies and related product areas quickly, including AI/ML-driven tools and emerging deployment automation capabilities.
Can handle multiple competing priorities and drive progress across parallel initiatives in a structured way.
Has strong analytical and problem-solving abilities, with a track record of breaking down ambiguous implementation challenges into scalable, tool- and workflow-based solutions.
Explains complex and technical concepts in simple, accessible terms to audiences with varying levels of technical knowledge.
Mentors consultants and delivery teams, provides guidance on deployment best practices, and can lead virtual teams or workstreams to deliver cross-organizational outcomes.
Comfortable using AI tools (such as generative AI assistants) to design or enhance implementation workflows, documentation, and training content.
Previous consulting experience, either as an internal consultant or with a consulting/software company, is a plus.
Willing to travel up to 25% of the time, as required by business needs.