Enterprise AI Architect: Transformation & Governance

OneStream; United States; Vor Ort; USD 151.000 - 196.000; Vollzeit

Benefits dieser Stelle

Excellent Medical Plan

Life Insurance

Short & Long Term Disability

Vacation Time

Paid Holidays

Professional Development

Retirement Plan

Zusammenfassung

OneStream is seeking an AI Architect to lead responsible AI adoption and scale across the enterprise. You will translate business challenges into practical architecture, govern data usage, and drive adoption in collaboration with Security, Legal, and IT teams.

The role focuses on AI opportunity discovery, solution design, governance, and value measurement, delivering measurable productivity improvements and decision-support outcomes.

Qualifikationen

• Demonstrated experience in translating business needs into implementable designs.
• Strong understanding of enterprise applications, integrations, APIs, data flows, identity, security, privacy and operational support considerations.
• Experience creating architecture artefacts, reusable patterns, standards, decision records, playbooks and executive-level recommendations.

Aufgaben

• Identify opportunities across business functions where AI can improve productivity, efficiency, decision quality, customer or employee experience, and business outcomes.
• Create and maintain a structured inventory of AI opportunities, including business ownership, value hypothesis, users, dependencies, risks, readiness and status.
• Develop and apply intake, scoring and prioritisation methods that consider impact, effort, data readiness, governance complexity, adoption complexity and ownership clarity.
• Partner with business and technology leaders to shape a sequenced AI opportunity roadmap aligned to strategic priorities and enterprise capabilities.
• Design end-to-end AI solution approaches spanning enterprise applications, data sources, integrations, workflows, user experiences and measurable outcomes.
• Define reusable architecture patterns for AI agents, copilots, workflow automation, knowledge discovery, decision support, orchestration and human-in-the-loop controls.
• Document architecture decisions, integration requirements, data dependencies, security considerations, ownership, support models and implementation trade-offs.
• Partner with application owners, data teams and platform teams to embed approved AI capabilities into existing systems and business processes.
• Evaluate processes for automation, augmentation, knowledge retrieval, decision support and workflow optimisation opportunities.
• Conduct practical AI readiness assessments across departments, processes and business capabilities.
• Translate broad business challenges into clearly scoped transformation opportunities with defined outcomes, users, constraints, dependencies and adoption needs.
• Create transformation blueprints connecting process improvement, people impacts, application dependencies, data readiness, governance requirements and value measurement.
• Partner with Security, Legal, Compliance, Data, IT and business owners to align AI initiatives with responsible AI and enterprise governance expectations.
• Embed review checkpoints for privacy, security, data usage, transparency, accountable human oversight, compliance and operational support.
• Document risks, controls, data exposure, approval dependencies and accountable ownership for proposed solutions and tools.
• Promote approved capabilities, reusable patterns and consistent governance routing to reduce fragmented or unmanaged experimentation.
• Create playbooks, templates, workshops, demonstrations and best-practice guidance that accelerate responsible AI adoption.
• Help teams understand where AI is appropriate, where added caution is required and which stakeholders must be engaged before a solution is scaled.
• Define and track meaningful outcome measures such as hours saved, cycle-time reduction, quality improvement, cost avoidance, adoption and user feedback.
• Use lessons from pilots and production solutions to improve architecture patterns, governance guidance, enablement materials and roadmap decisions.
• Facilitate collaboration across IT, Enterprise Applications, Data, Security, Legal, Compliance, Operations, Finance, HR, Engineering and business teams.
• Build alignment around value, feasibility, risk, readiness, reusable patterns, implementation recommendations and measurable next steps.
• Drive progress through influence, structured facilitation, strong documentation and evidence-based architecture recommendations.
• Maintain visibility of the applications, data sources, workflows, integrations and ownership dependencies required to support trusted, scalable AI solutions.

Kenntnisse

Business transformation

Enterprise architecture

Executive communication

Cross-functional facilitation

Risk judgment

Ausbildung

Bachelor's degree in CS/IS/Engineering

Jobbeschreibung

OneStream is seeking an AI Architect to lead responsible AI adoption and scale across the enterprise. You will translate business challenges into practical architecture, govern data usage, and drive adoption in collaboration with Security, Legal, and IT teams.

The role focuses on AI opportunity discovery, solution design, governance, and value measurement, delivering measurable productivity improvements and decision-support outcomes.