Deployment Strategist (53004)

Posted 2 Days Ago
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Hiring Remotely in New York, NY, USA
In-Office or Remote
120K-240K Annually
Mid level
Professional Services • Consulting • Financial Services • Cybersecurity
The Role
Own client AI engagements from discovery through production. Lead use-case workshops, scope statements of work, design workflows, prototype prompts and agents, coordinate engineering delivery, manage security and compliance reviews, lead enterprise rollouts, train users, measure KPIs and ROI, and present results to executives. The role also supports pre-sales, follow-on engagements, and development of reusable AI consulting playbooks.
Summary Generated by Built In

Citrin Cooperman's Applied AI Practice puts AI to work inside clients' businesses: their people, their processes and their systems. The Practice deploys on three platforms: Claude and the Anthropic API, OpenAI, and Salesforce Agentforce. Clients include mid-market companies from the firm's accounting and advisory base, regulated businesses in financial services and healthcare, and Salesforce clients our team has served for years.

As a Deployment Strategist, you own the business side of an engagement from first conversation to production. You find the use cases worth building, scope them into a statement of work and design the workflows. Forward Deployed Engineers build what you design, and you lead the client through rollout and adoption. You measure the result and report it to the client's executives. When an engagement lands, you find the next one.

You are technical enough to prototype a workflow, write and test prompts, and query the client's data yourself. Production code belongs to the Forward Deployed Engineers. Client conversations belong to you. 

This is one of the first hires in a new Practice. You will help write the playbooks the rest of the team uses.

DISCOVERY AND SCOPING

  • Run discovery and use case workshops with client stakeholders, from the CFO to the people doing the work, to find problems AI can solve at a cost the client will pay for
  • Assess where a client sits on our AI maturity scale and recommend the right starting engagement
  • Write and scope statements of work, estimates and change orders with clear milestones, success criteria and a value hypothesis
  • Support pre-sales: join qualification calls, build and run demos, and turn workshop findings into proposals

DESIGN AND DELIVERY

  • Map client workflows and data, define the MVP, and write the requirements Forward Deployed Engineers build against
  • Build quick prototypes (prompts, skills, simple agents, data queries) to prove a use case before engineering time is committed
  • Make sequencing and scope trade-offs with the delivery team to keep work on schedule
  • Work through client security, compliance and IT reviews, which carry the most weight in financial services and healthcare

ROLLOUT AND ADOPTION

  • Lead enterprise AI rollouts (Claude Enterprise, ChatGPT Enterprise, Microsoft Copilot), covering governance, connector setup, admin policies and rollout plans
  • Train end users and build internal champions through train-the-trainer sessions
  • Set baselines and KPIs before go-live, measure after, and present ROI to executive sponsors

PRACTICE BUILDING

  • Turn what works into reusable assets: use case libraries, workshop formats, evaluation templates and rollout playbooks
  • Feed field findings back to the Practice and to our platform partners

What Success Looks Like in the First Year

  • Pilots reach production with measured client outcomes
  • Engagements expand into follow-on statements of work
  • You meet the billable utilization target and earn strong client satisfaction scores
Qualifications
  • Four to seven years in client-facing technical roles: consulting, solutions engineering, technical product management, implementation or analytics
  • Hands-on experience building with large language models: prompt design, retrieval, agents or workflow automation, and how to evaluate whether they work
  • Software-adjacent technical skills: comfortable with Python or SQL, APIs and data, able to read code and build a working prototype
  • Experience scoping and delivering engagements against a budget, with direct accountability to client stakeholders
  • Able to explain technical trade-offs to executives and business problems to engineers
  • Comfortable with ambiguity: you can meet a client who wants to talk about AI and leave with a scoped first project
  • Willing to travel about 25% of the time
  • [Work authorization requirement, HR to confirm: U.S. citizenship or authorization to work for any employer in the U.S.]

 PreferredQualifications

  • Experience rolling out Claude Enterprise, ChatGPT Enterprise or Copilot across an organization
  • Experience in financial services, healthcare or another regulated industry
  • Consulting firm background with billable utilization targets
  • Familiarity with MCP connectors, Claude skills or agent frameworks
  • Anthropic, OpenAI or Salesforce AI certifications

Skills Required

  • Four to seven years of experience in client-facing technical roles such as consulting, solutions engineering, technical product management, implementation, or analytics.
  • Hands-on experience building with large language models, including prompt design, retrieval, agents, workflow automation, and evaluation.
  • Comfort with Python or SQL, APIs, data, reading code, and building working prototypes.
  • Experience scoping and delivering engagements against a budget with direct client stakeholder accountability.
  • Ability to explain technical trade-offs to executives and business problems to engineers.
  • Comfort working with ambiguity and converting AI discussions into scoped projects.
  • Willingness to travel approximately 25% of the time.
  • U.S. citizenship or authorization to work for any employer in the United States.
  • Experience rolling out Claude Enterprise, ChatGPT Enterprise, or Microsoft Copilot across an organization.
  • Experience in financial services, healthcare, or another regulated industry.
  • Consulting firm experience with billable utilization targets.
  • Familiarity with MCP connectors, Claude skills, or agent frameworks.
  • Anthropic, OpenAI, or Salesforce AI certifications.

Citrin Cooperman Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citrin Cooperman and has not been reviewed or approved by Citrin Cooperman.

  • Fair & Transparent Compensation — Base pay is considered competitive for public accounting and aligned to major metro markets. Market-consistent salaries help compensation feel fair even amid demanding workloads.
  • Leave & Time Off Breadth — PTO is highlighted as generous, with paid holidays and even a staff sabbatical program. These policies provide meaningful time away that helps counterbalance peak-season intensity.
  • Parental & Family Support — Paid parental leave is explicitly offered and viewed positively. This support strengthens the overall package for employees prioritizing family needs.

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The Company
HQ: New York, NY
3,502 Employees
Year Founded: 1979

What We Do

Citrin Cooperman is one of the largest professional services firms in the United States, founded in 1979. It provides comprehensive tax, accounting, and advisory services to middle-market companies and high-net-worth individuals. The firm delivers a tailored, integrated business approach and proactive guidance to help clients achieve their business and personal financial goals across various global markets.

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