AI-Native Workflow Designer in at Snowbird Agility

AI-Native Workflow Designer

LCAT ALIGNMENT | BUSINESS PROCESS EXPERT

CONTINGENT UPON ANTICIPATED JANUARY 2027 WORK

This is a contingent opportunity dependent on the company securing the anticipated work in January 2027. Recruiting and candidate evaluation may begin in advance; any offer, start date, and onboarding depend on the work being secured and authorized to proceed. January 2027 is an anticipated decision period, not a guaranteed start date.

Position Summary

We are seeking a hands-on, client-facing AI-Native Workflow Designer to analyze business operations, redesign end-to-end workflows, and support adoption of practical AI-enabled improvements. Aligned to the Business Process Expert labor category, this role combines traditional process analysis and improvement with generative AI, agentic workflows, automation, and human-AI collaboration. The consultant will engage clients to understand operational challenges, prototype and validate future-state workflows, and demonstrate measurable gains in cycle time, productivity, quality, and reduced manual effort. This is a business process design role; coding is not required.

· Client Discovery & Consulting: Facilitate client interviews, discovery sessions, process walkthroughs, and stakeholder workshops to clarify operational needs, constraints, pain points, and success measures.

· Current-State Analysis: Map and assess business processes, handoffs, decision points, exceptions, data dependencies, controls, and opportunities for streamlining or redesign.

· AI-Native Workflow Design: Design future-state workflows that thoughtfully allocate work among employees, AI agents, automation tools, and existing systems to improve outcomes—not merely automate current steps.

· Decision Design & Responsible AI: Define human decision rights, review and approval checkpoints, exception handling, escalation paths, and appropriate oversight for AI-supported activities.

· Prototyping & Validation: Develop workflow concepts, process models, low-code/no-code prototypes, simulations, or proof-of-concept demonstrations; test feasibility with end users and technical partners.

· Agile Delivery: Work in Agile teams to prioritize workflow improvements, conduct iterative experiments, demo proposed solutions, gather feedback, and refine designs across delivery increments.

· Implementation & Adoption: Partner with product, engineering, operations, and change teams to translate workflow designs into requirements, support pilots and rollout, and equip users to adopt new ways of working.

· Outcomes & Improvement: Establish baselines and track cycle time, throughput, manual effort, error/rework rates, quality, adoption, and productivity; recommend adjustments based on observed results.

· Documentation & Communication: Produce clear process maps, future-state designs, requirements, decision logs, operating procedures, and executive-ready recommendations.

· Bachelor's degree in business, information systems, operations, industrial engineering, or a related field, or equivalent relevant experience.

· 5+ years of experience in business process analysis, process redesign, operational improvement, workflow design, or related consulting work.

· Demonstrated client-facing experience leading discovery, stakeholder workshops, process mapping, and collaborative solution design.

· Experience with Agile delivery and iterative design, including demonstrations, experimentation, and feedback-based refinement.

· Practical familiarity with generative AI, agentic workflows, prompt engineering concepts, and AI-enabled automation or low-code/no-code tools.

· Ability to model workflows, identify process and decision improvements, and define appropriate human oversight and operational controls.

· Ability to establish performance baselines, quantify improvements, and communicate results to both business and technical stakeholders.

· Strong facilitation, analytical, documentation, problem-solving, and communication skills.

· Experience in a Scaled Agile Framework (SAFe) environment; SAFe Practice Consultant (SPC) certification preferred, not required.

· Hands-on coding, scripting, API integration, or AI application prototyping experience (e.g., Python); not required.

· Experience with workflow automation, process mining, BPMN, or business process management platforms.

· Experience improving business processes in federal government, healthcare IT, or other regulated environments.

· Familiarity with responsible AI practices, change adoption, user enablement, and technology-enabled operating model transformation.

· Validated future-state workflows that address client priorities and improve human-AI collaboration.

· Measurable reductions in cycle time, manual effort, defects, rework, or operational friction.

· Demonstrable gains in productivity, service quality, decision effectiveness, and user adoption.

· Practical pilots and iterative designs that transition successfully into operational use.

Note: Specific client, work location, clearance, travel, compensation, and final contract requirements will be confirmed if the anticipated work is secured.