Come join an Expert Network Team as a Staff Program Manager, driving readiness for changes impacting a large customer success expert ecosystem. This AI-driven platform and expert network includes thousands of diverse and highly skilled professionals worldwide, including tax attorneys, credentialed tax and accounting experts, and bookkeepers. In this role, you will collaborate across multiple teams to enable outstanding experiences and drive operational efficiency.
As a Staff Program Manager, you will lead efforts to ensure experts are prepared and that changes are implemented with excellence, enabling teams to delight customers. Successful candidates bring strong change management experience and are passionate about improving processes, partnering across teams, and driving large-scale change with speed, quality, and high adoption.
Responsibilities
- Manage a portfolio of initiatives and ensure readiness workstreams are clearly identified, planned, and executed to a defined “Definition of Done,” delivering an excellent expert experience during change
- Assess risk across multiple workstreams and drive appropriate mitigation efforts, prioritization, and tradeoffs to ensure on-time releases with high adoption and minimal defects
- Partner with product and communication teams to understand roadmaps and proactively communicate upcoming changes
- Validate readiness, oversee releases, and evaluate post-launch performance to identify improvement opportunities
- Continually optimize change delivery by improving speed, clarity, scalability, and sustainability of planning and execution practices
- Partner with, educate, roadshow, and mentor stakeholders on change management best practices
- Role-model expert advocacy by translating quantitative and qualitative expert insights into actionable readiness improvements from inception through post-implementation
Qualifications
- Bachelor’s degree or equivalent experience; MBA a plus
- 3–5 years of proven performance in change management
- 7+ years of program or project management experience
- Experience working across multiple programs and business units in a large, fast-moving, enterprise-level environment
- Proficiency with Google Suite (Docs, Sheets, Slides)
- Excellent written and verbal communication skills
- Strong organizational skills with the ability to manage multiple initiatives simultaneously and deliver outcomes tied to business objectives
- Trusted strategic partner with the ability to build strong relationships and influence across teams
- Experience leveraging AI tools to streamline and optimize business tasks
- Lean or Six Sigma experience a plus
Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.
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