Evolver (evolver.ai) Logo

Evolver (evolver.ai)

Domain Value Architect

Posted One Month Ago
Be an Early Applicant
In-Office
Palo Alto, CA, USA
Expert/Leader
In-Office
Palo Alto, CA, USA
Expert/Leader
Lead enterprise AI transformation strategy and value realization across finance, tax, risk, governance, and compliance functions. Conduct discovery, define deployment roadmaps, prioritize use cases, establish KPIs, engage executive stakeholders, align initiatives with control frameworks, and guide deployment engineers during rollout. Translate complex regulated workflows into responsible, scalable AI implementations and contribute insights to product and engineering teams. Travel may be required for customer engagements and workshops.
The summary above was generated by AI

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.

Similar Jobs

One Month Ago
In-Office
Palo Alto, CA, USA
Expert/Leader
Expert/Leader
Artificial Intelligence • Information Technology • Cybersecurity • Defense
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.
Top Skills: Artificial Intelligence (Ai)
22 Seconds Ago
In-Office
79K-107K Annually
Entry level
79K-107K Annually
Entry level
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Designs and analyzes mechanical structures and electronics packaging for space systems. Responsibilities include structural, thermal, dynamics, and vibration analysis; PCB layout and integration; trade studies; design validation; compliance documentation; root-cause investigations; process improvement; supplier support; and emerging technology evaluation. The role collaborates across engineering disciplines and is fully onsite in El Segundo, California.
Top Skills: AnsysCadComsol MultiphysicsCreoFinite Element Analysis (Fea)Msc PatranPcbSiemens Nx NastranSolidworks
22 Minutes Ago
Hybrid
San Francisco, CA, USA
Mid level
Mid level
Financial Services
Develops, tests, troubleshoots, and delivers secure, scalable ServiceNow software solutions in an agile environment. Designs application architectures, writes production code, creates custom widgets, configures and scripts the ServiceNow platform, and supports operational stability. Uses AI-assisted development tools responsibly, analyzes data to improve applications, contributes to engineering practices, and collaborates with business analysts on estimates and delivery plans.
Top Skills: Ai-Assisted Software Development ToolsCi/CdCloud TechnologiesGlidescriptJavaJavaScriptPHPPythonService PortalServicenowSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account