Fieldguide

Powering the future of trust with modern software for assurance & advisory firms.

Head of Deployed Intelligence

DirectorDirectorFull TimeRemoteTeam 11-50H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

2 days ago

Salary

$235K - $300K / year

No structured requirement data.

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

The Head of Deployed Intelligence is responsible for turning agents into real operating leverage inside CPA firms, beginning with Risk Advisory and Financial Audit. This role owns:

  • Leading structured agent pilots and converting them into scaled deployments
  • Designing and delivering custom agents aligned to firm methodologies
  • Building and scaling an agent-first operating model across Advisory and Audit

This is an operating role accountable for embedding agents into live engagements and reshaping how work gets done.

What You’ll Do

  • Lead High-Impact Agent Pilots
    • Design and execute structured pilots inside strategic accounts that prove agent value in real workflows.
    • Identify high-leverage use cases across audit and advisory engagements
    • Define pilot scope, workflow integration, and rollout plans
    • Lead cross-functional execution with CSMs and Agent Architects
    • Convert successful pilots into broader firm-wide deployments
  • Build and Deliver Custom Agents
    • Own agent customization as a core capability.
    • Conduct deep discovery of firm methodologies, documentation standards, and engagement models
    • Translate firm-specific approaches into tailored agent behavior and outputs
    • Partner with Agent Architects to configure logic, structure, and output formats
    • Oversee validation and go-live within live engagements
    • Develop scalable customization frameworks that preserve depth while enabling reuse
  • Lead Agent-First Workflow Redesign
    • Drive structural workflow transformation across Advisory and Audit practices.
    • Map current-state engagement workflows
    • Redesign workflows for active agent participation across planning, testing, documentation, review, and reporting
    • Redefine human-agent role allocation within engagement teams
    • Build structured rollout plans tied to recurring engagement cycles
    • Establish maturity stages for agent integration within firms
  • Drive Firm-Level Adoption
    • Ensure agents become embedded in real engagement teams, not layered on top.
    • Develop structured rollout and change plans
    • Align firm leadership around expectations and operating shifts
    • Design enablement programs for partners, managers, and staff
    • Identify and resolve adoption friction points
    • Partner closely with CSMs to integrate agent strategy into account plans
  • Build the Deployed Intelligence Function
    • Create the systems that make transformation repeatable.
    • Standardize frameworks for pilot design, customization, workflow redesign, and rollout
    • Build scalable playbooks that extend across firms
    • Establish adoption tracking and feedback loops
    • Partner with Product and Engineering to inform roadmap based on field learnings
  • Build and Lead Advisory & Audit Engineering Teams
    • Build and scale a team of “Advisory Engineers” and “Audit Engineers” — AI-native domain experts who combine deep practice knowledge with the ability to design, customize, and operationalize agents.
    • Hire and develop AI-native SMEs across Risk Advisory and Financial Audit
    • Train them to translate firm methodologies into agent logic and workflows
    • Embed them into pilot execution, customization, and workflow redesign efforts
    • Establish them as the frontline operators driving agent-first transformation inside client engagements
    • Create clear operating standards, playbooks, and career paths for this new function

Qualifications

  • 10+ years of experience across product, consulting, operations, or professional services, with exposure to technology-driven transformation
  • Experience working on AI-enabled products, workflow automation, or data-driven platforms
  • A strong ability to analyze complex business processes and reimagine how they should work in a modern, AI-native environment
  • Experience leading or contributing to change management initiatives, helping teams adopt new tools, processes, and ways of working
  • Excellent written and verbal communication skills, with a track record of collaborating across product, engineering, design, and business stakeholders
  • Comfort operating in ambiguous, fast-moving environments, where you help define both the product and the process as you go
  • A technical, business, accounting, or related degree, or equivalent professional experience

Benefits

  • Competitive compensation packages with meaningful ownership
  • Flexible PTO
  • 401k
  • Wellness benefits
  • Technology & Work from Home reimbursement
  • Flexible work schedules

Job Requirements

  • 10+ years of experience across product, consulting, operations, or professional services, with exposure to technology-driven transformation
  • Experience working on AI-enabled products, workflow automation, or data-driven platforms
  • A strong ability to analyze complex business processes and reimagine how they should work in a modern, AI-native environment
  • Experience leading or contributing to change management initiatives, helping teams adopt new tools, processes, and ways of working
  • Excellent written and verbal communication skills, with a track record of collaborating across product, engineering, design, and business stakeholders
  • Comfort operating in ambiguous, fast-moving environments, where you help define both the product and the process as you go
  • A technical, business, accounting, or related degree, or equivalent professional experience

Benefits

  • Competitive compensation packages with meaningful ownership
  • Flexible PTO
  • 401k
  • Wellness benefits
  • Technology & Work from Home reimbursement
  • Flexible work schedules

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