AI-Native Operating Model Architect in at Snowbird Agility

AI-Native Operating Model Architect

CONTINGENT UPON ANTICIPATED JANUARY 2027 WORK

This opportunity is contingent on the company securing the anticipated work in January 2027. Recruitment may occur beforehand; any offer, start date, and onboarding depend on the work being secured, authorized to proceed, and confirmed business need. January 2027 is an anticipated decision timeframe, not a guaranteed start date.

Position Summary

We are seeking a senior, client-facing AI-Native Operating Model Architect to help organizations redesign how people, AI agents, processes, decisions, and technology work together. The architect will advise executives and operational stakeholders, assess current ways of working, and design practical future-state operating models that use generative and agentic AI responsibly. The role connects strategy to implementation through collaborative discovery, workflow and decision design, Agile delivery, workforce adoption, and evidence-based performance improvement. This is primarily a business and operating-model architecture role; hands-on AI engineering is not required.

· Client Advisory & Discovery: Partner with executives, program leaders, frontline teams, and technical stakeholders to define business challenges, transformation goals, constraints, and success criteria; lead interviews and facilitated workshops.

· Operating Model Architecture: Assess current-state capabilities, organizational structures, service delivery, roles, processes, governance, and technology; design future-state models that align people, AI agents, platforms, and business objectives.

· Workflow Redesign: Identify high-value opportunities to rethink end-to-end work rather than merely automate existing steps; develop human-AI interaction patterns, handoffs, exception pathways, and practical implementation roadmaps.

· Decision Rights & Human Oversight: Define decision ownership, accountability, review and approval points, escalation paths, and safeguards for AI-assisted and agentic processes based on business risk and organizational policy.

· AI Opportunity Assessment: Evaluate use cases for feasibility, value, workforce readiness, data constraints, responsible AI obligations, and fit with enterprise architecture and operating priorities.

· Agile & Iterative Transformation: Collaborate with Agile delivery teams to translate target operating models into prioritized capabilities, pilots, incremental releases, feedback loops, and continuous improvement plans.

· Cross-Functional Collaboration: Coordinate with AI engineers, product owners, value architects, change consultants, security, and business owners to ensure designed models can be implemented, adopted, and maintained.

· Outcomes & Value: Establish baselines and KPIs for efficiency, decision quality, cycle time, capacity, service quality, adoption, and business value; assess results and recommend adjustments.

· Executive Communication: Present architecture options, tradeoffs, transformation risks, and measurable recommendations in accessible language; document operating-model blueprints and decision frameworks.

· Bachelor's degree in Business, Information Systems, Organizational Design, Enterprise Architecture, Technology, or a related discipline, or equivalent relevant experience.

· 7+ years of experience in business architecture, operating model design, enterprise transformation, management consulting, or closely related work.

· Demonstrated client-facing consulting skills, including executive advisory, stakeholder facilitation, requirements discovery, and consensus building across complex organizations.

· Experience mapping and redesigning business processes, roles, decision rights, governance, and cross-functional operating models.

· Working knowledge of generative AI, agentic AI, human-AI collaboration, AI-enabled workflows, and responsible AI principles; ability to apply these concepts to business architecture without hands-on coding.

· Experience working with Agile delivery approaches, including iterative planning, stakeholder feedback, pilot learning, and continuous improvement.

· Ability to define measurable outcomes, establish performance baselines, and connect operating-model improvements to business objectives.

· Strong analytical thinking, workshop leadership, executive presentation, documentation, and communication skills.

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

· Hands-on experience prototyping or engineering AI-enabled solutions, integrations, or workflow automations.

· Experience with enterprise architecture, capability mapping, value streams, organizational design, or service blueprinting.

· Experience supporting healthcare IT, federal government clients, VA/VHA programs, or other regulated environments.

· Familiarity with AI governance, privacy, security, model-risk controls, and workforce adoption practices.

· Client-validated target operating models with clear ownership, controls, implementation priorities, and practical adoption pathways.

· Measurable improvement in efficiency, decision quality, organizational capacity, cycle time, and service or business outcomes.

· Effective integration of AI-assisted work with appropriate human oversight and accountability.

· Sustained stakeholder adoption and ongoing refinement informed by user feedback and performance data.

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