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Evolver

Domain Value Architect

Posted One Month Ago
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In-Office
Palo Alto, CA, USA
Expert/Leader
In-Office
Palo Alto, CA, USA
Expert/Leader
Leads enterprise AI deployment strategy and value realization across regulated functions such as finance, tax, risk, governance, and compliance. The role conducts discovery, prioritizes use cases, defines deployment roadmaps, establishes KPIs, engages executives, aligns initiatives with control frameworks, and guides deployment engineers through implementation and adoption. It requires deep regulated-domain expertise, transformation leadership, executive communication, and cross-functional stakeholder management. Travel may be required for customer engagements and workshops.
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Role Overview

We are seeking a team of Domain Value Architects to lead the strategic design and value realization of enterprise AI deployments within complex organizational environments.

This role combines deep domain expertise with transformation leadership. You will bring significant experience from regulated and high-accountability functions, including finance, tax, risk, governance, and compliance to ensure that AI initiatives are aligned with core enterprise priorities and deliver measurable business impact.

Working closely with executive stakeholders and Forward Deployment Engineers, you will define structured deployment roadmaps, prioritize high-impact initiatives, and embed AI capabilities into critical domain workflows in a responsible, scalable, and governance-aligned way.

This is a senior consultative role requiring strong domain authority, executive presence, and the ability to translate complex operational environments into practical, value-driven AI transformation.


Key Responsibilities

Strategic Planning & Ownership

  • Lead structured discovery sessions to understand enterprise priorities, regulatory constraints, and transformation objectives.
  • Define phased AI deployment strategies aligned with measurable business and operational outcomes.
  • Prioritize domain-specific use cases based on value, feasibility, and organizational readiness.
  • Establish KPIs to track business impact and value realization post-deployment.

Executive & Cross-Functional Engagement

  • Engage senior stakeholders across finance, tax, risk, governance, compliance, and technology functions.
  • Drive alignment between AI initiatives and enterprise control frameworks.
  • Support structured decision-making through clear analysis and domain insight.
  • Navigate complex, multi-stakeholder enterprise environments.

Domain Leadership

  • Apply deep expertise within finance, tax, risk, and governance contexts.
  • Understand internal control environments, compliance requirements, and operational risk structures.
  • Ensure deployments strengthen transparency, accountability, and control effectiveness.
  • Identify opportunities where AI can enhance monitoring, reporting, and decision-making processes.

Orchestration & Collaboration

  • Partner closely with Deployment Engineers to ensure execution reflects strategic and domain intent.
  • Provide functional guidance during rollout and adoption phases.
  • Contribute field insights to Product and Engineering teams.
  • Support the development of scalable and repeatable domain-driven deployment methodologies.

Travel may be required for key customer engagements and workshops.


Qualifications

Experience

  • 10+ years of experience operating within finance, tax, risk, governance, compliance, or related regulated enterprise functions.
  • Significant experience in consulting, enterprise transformation, or strategic implementation roles.
  • Proven ability to engage executive stakeholders in complex environments.
  • Demonstrated experience leading domain-driven transformation initiatives.

Education

  • Bachelor’s or Master’s degree in a related field.

Professional Capabilities

  • Strong consultative mindset with structured problem-solving skills.
  • Ability to connect AI capabilities to tangible business value.
  • Executive-level communication and stakeholder management.
  • High ownership and accountability.
  • Comfort operating in dynamic and evolving enterprise environments.

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