Senior AI‑Driven Process Improvement Analyst

UKG Inc.

Denver (CO)

On-site

USD 84,000 - 119,000

Full time

36 hours ago

Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

UKG Inc. is seeking a Business Process Analyst to map complex processes and design AI-enabled workflows that balance autonomy with human oversight.

You will own scoped analysis, define requirements, and partner with delivery teams to translate enterprise priorities into practical change that delivers measurable business outcomes. You will work with executive leaders and product teams to identify opportunities for AI value, implement MVP scope, and monitor performance to drive continuous

Qualifications

2–3 years of hands‑on experience in business process analysis or process improvement within an operational or business environment.
Ability to independently own defined analysis deliverables or a scoped process workstream.
Experience mapping end‑to‑end processes or journeys and documenting roles, decisions, systems, data, handoffs, and controls.
Experience contributing to future‑state process designs and recommendations.
Experience facilitating stakeholder interviews or working sessions and communicating findings clearly.
Experience analyzing qualitative or quantitative evidence to identify root causes, prioritize opportunities, and connect recommendations to business outcomes.
Experience partnering with product or delivery teams to contribute to use cases, user stories, and acceptance criteria.
Experience supporting process design through prototyping, user feedback, implementation, adoption, or UAT.
Ability to apply sound judgment to AI-enabled process design, including business context, data and signal quality, appropriate autonomy, human review, and safeguards.
Strong written and verbal communication skills, including the ability to present concise, decision-ready analysis to business stakeholders and executive leaders.

Responsibilities

Partner with executive leaders and business teams to define process challenges, target outcomes, and hypotheses for where AI can create value.
Conduct interviews and analyze process data and experience insights to identify breakdowns, root causes, and opportunities for improvement.
Map current-state and future-state journeys, including roles, decisions, systems, data, handoffs, controls, and exception paths.
Help design coordinated AI agents that combine internal and external signals with business context to prioritize next-best actions.
Define when agents can act autonomously and when human review, approval, or intervention is required.
Establish safeguards, handoffs, governance considerations, and exception paths for AI-enabled processes.
Shape future-state concepts into solution ideas and MVP scope.
Partner with product and delivery teams to define use cases, user stories, acceptance criteria, and requirements.
Define process baselines, business outcome measures, and guardrails for AI-enabled workflows.
Monitor process and agent performance, user feedback, exceptions, and human interventions to identify improvement opportunities.
Support prototypes, user feedback sessions, UAT, and iterative process refinement.
Facilitate working sessions with business and delivery leaders to align on future-state models, ownership, decisions, tradeoffs, dependencies, and risks.
Support adoption and communicate progress to keep teams aligned to measurable outcomes.