Manager, Presales Value Consultant

Why UKG:

At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do.

We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters—and so do you.

The Manager, Value Engineering is a people leader responsible for delivering high-impact value engineering support across priority sales opportunities while building the team capabilities, operating discipline, and cross-functional relationships required to scale Value across the customer lifecycle.

This leader will manage and develop a team of Value Engineers who help customers articulate business priorities, quantify the value of change, build credible business cases, and communicate compelling value narratives to executive stakeholders. The Manager will ensure direct Value Engineering capacity is deployed where it can have the greatest commercial impact, protecting support for strategic opportunities while establishing clear prioritization, engagement, and governance practices.

The team will operationalize a common value methodology, expand adoption of the Value Traveler, mature digital and self-service experiences, and apply governed AI and automation to extend Value beyond engagements led directly by a Value Engineer.

Success requires a leader who can balance near-term commercial execution with longer-term transformation. The ideal candidate is an experienced value practitioner and coach who can lead through change, build credibility with senior sales and customer leaders, translate strategy into consistent team execution, and help make Value part of every appropriate prospect and customer journey.

• Protect high-quality deal support by aligning Value Engineering capacity to the opportunities where specialist involvement is most likely to improve executive alignment, competitive differentiation, win probability, deal value, or strategic positioning.

• Partner with Sales and Solutions leadership to review demand, make capacity and deployment decisions, manage competing priorities, and identify when lower-complexity requests should be served through guided or self-service experiences.

• Drive adoption of the common enterprise value methodology, including approved value drivers, KPI definitions, benefit models, financial standards, benchmarks, assumption rules, and quality requirements.

• Reinforce strong governance and quality controls so customer-facing value claims are credible, supportable, appropriately documented, and aligned with approved financial and benchmark standards.

• Help scale Value through reusable assets, guided experiences, self-service tools, and governed automation while preserving direct Value Engineering involvement for the customers and opportunities where it creates the greatest return.

• Support the responsible use of AI-enabled capabilities for defined use cases such as discovery preparation, value-driver recommendations, business-case drafting, model quality assurance, lifecycle handoffs, and insight capture. Ensure human review, approved data sources, calculation guardrails, and appropriate customer-data protections remain central to the workflow.

• Track and communicate performance using measures such as value penetration, pipeline and revenue influenced, win-rate and deal-size impact, engagement mix, strategic allocation of VE…