Manager, Compensation Analytics & Automation - Remote (CST or EST

Position: Manager, Compensation Analytics & Automation - Remote (CST or EST)
Location: Northern

## Manager, Compensation Analytics & Automation - Remote (CST or EST)
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Remote time type:
Full time posted on:
Posted Todayjob requisition :
R9294
* Are you looking to accelerate your career without having to hide your authentic self - a place where you can be you? A career that’s making a bigger impact on the world?  At One Digital, we are on a mission to help people do their best work and live their best lives.  From the services we offer to the way we show up for each other each day, we are fueling dreams, achieving big goals, and embracing each other’s truest selves.
* * We understand that pursuing a new job is a big deal.  Maybe you’re afraid you won’t fit in.  Well, here’s the good news.  For us, the days of “fit in to get in” are over and being different is not a barrier to getting ahead. Greatness comes in all shapes, sizes, colors, and experience levels. If you are looking for a people-first culture that is wired for growth, driven to serve, and totally committed to having your back, give us a shot.

Your best life awaits.
* Must be eligible to work in the United States without the need for work visa or residency sponsorship.  We kindly ask that external recruiters, agencies, and search firms do not contact our hiring managers or employees directly regarding open positions. All candidate submissions must go through our official application process and must be made aware to our internal Talent Acquisition team to verify candidate ownership.

Unsolicited resumes or candidate profiles sent to One Digital without a prior signed agreement will be considered the property of One Digital. In such cases, One Digital reserves the right to pursue and hire those candidates without any financial obligation to the agency or recruiter.  
** Our Newest Opportunity:
** One Digital's People Innovation & Technology team is looking for a builder-minded compensation professional to own and modernize our Corporate Compensation Center of Excellence. We're not looking for a career comp historian or a deep Workday-config specialist — we're looking for a reasonable, savvy comp generalist who is genuinely excited to apply AI to real compensation problems. You'll own our benchmarking agent, our job grading and market pricing process, and have access to a robust internal fellowship program to help you build new AI-powered tools.

The title reflects the level of ownership and market positioning of the role; it is structured today as an individual-contributor seat with real potential to grow in scope over the next 18-36 months as the function matures.
** What You'll Do
*** Own and continuously improve our AI-powered compensation benchmarking agent — managing its inputs, tuning its outputs, and expanding what it can do.
* Lead job grading, leveling, and market pricing/benchmarking to keep our compensation structures competitive and defensible.
* Partner with our internal AI fellowship program to design, prototype, and ship new AI-based tools that modernize compensation workflows (e.g., merit/bonus modeling, offer analysis, pay equity checks).
* Manage the core annual compensation cycle fundamentals: merit and bonus planning, budgeting, and incentive plan administration.
* Conduct pay equity reviews and flag compression, equity, or compliance risks proactively.
* Build lightweight dashboards and self-service reporting that give managers and leaders clear visibility into pay and market position.
* Partner with the People Technology team on compensation-related data needs — note: this role does not own Workday compensation configuration/support.
* Represent a pragmatic, business-savvy point of view for the compensation function rather than a rigid, process-heavy approach.
** What You Bring
*** Solid working knowledge of core compensation fundamentals — benchmarking, job grading, budgeting, total rewards basics. You don't need to be the deepest comp technician in the room.
* Genuine curiosity and enthusiasm about applying AI/tech to compensation problems — this matters more than years of traditional comp tenure.
* Comfortable prototyping, testing, and building with AI-based tools, or eager to learn how (our fellowship program…