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Ai In Finance Jobs in Washington (NOW HIRING)

Shield AI

Lead GTM Finance Analyst (R5361)

Washington, DC · On-site

$110K - $160K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... If you thrive in high-stakes environments and believe finance should steer the business -- not just ...

World Bank

Finance Analyst

Washington, DC · On-site

Providing strategic and operational leadership in finance planning and budget oversight to WBG ... Leveraging digital finance solutions and AI-enabled tools, the incumbent will enhance reporting ...

YO AI Labs

AI Finance Expert - Remote

Washington, DC · Remote

$100 - $200/hr

In this role, you will help improve next-generation AI systems by reviewing, evaluating, and refining AI-generated financial content. No prior AI experience is required--your financial expertise ...

Booz Allen Hamilton

Finance AI Solution Architect

Mclean, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Experience in finance, including financial planning and analysis (FP&A), budgeting and forecasting ... Experience using AI or GenAI tools such as LLM engineering to build or enhance applications

Deloitte

Manager - Finance Managed Services

Mclean, VA · On-site

... Generative AI to improve performance, increase agility, and unlock long-term value. This is an ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

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Ai In Finance information

See Washington salary details

$28.3K

$104.9K

$153.5K

How much do ai in finance jobs pay per year?

As of Aug 19, 2026, the average yearly pay for ai in finance in Washington is $104,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,900.00 and $123,500.00 per year, depending on experience, location, and employer.

What is AI in finance?

AI in finance refers to the use of artificial intelligence technologies and machine learning algorithms to automate, enhance, and optimize various financial services and processes. This includes applications such as fraud detection, algorithmic trading, credit risk assessment, customer service chatbots, and personalized financial advice. By leveraging large datasets and advanced analytics, AI can improve decision-making, reduce operational costs, and deliver more accurate and timely financial insights. Many financial institutions are increasingly adopting AI to stay competitive and comply with regulatory requirements.

What are the key skills and qualifications needed to thrive as an AI professional in finance?

To thrive as an AI professional in Finance, you need a strong background in data science, machine learning, quantitative analysis, and finance, often supported by degrees in computer science, mathematics, or finance. Familiarity with programming languages like Python or R, experience with AI/ML frameworks (such as TensorFlow or PyTorch), and understanding of financial systems or regulatory standards are typically required. Strong analytical thinking, attention to detail, and effective communication skills set top performers apart in this field. These skills are vital for developing robust AI solutions that drive financial insights, improve decision-making, and ensure regulatory compliance.

How do professionals in AI in finance typically collaborate with other departments within a financial institution?

Professionals working in AI in Finance often collaborate closely with teams such as risk management, compliance, and data engineering. They work together to define business requirements, ensure the quality and security of financial data, and interpret AI models’ results for practical decision-making. Effective communication is key, as AI specialists must translate complex technical findings into actionable insights for non-technical stakeholders. This collaborative environment fosters innovation and helps drive solutions that align with both regulatory standards and business goals.

What is the difference between Ai In Finance vs Data Analyst in Finance?

AspectAi In FinanceData Analyst in Finance
Required CredentialsDegree in Finance, Computer Science, or related fields; knowledge of AI and machine learningDegree in Finance, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentTech-driven finance teams, AI development labs, financial institutionsFinancial firms, banks, investment companies, data analysis departments
Employer & Industry UsageFinancial technology companies, banks integrating AI solutionsFinancial services firms analyzing market data, risk, and client information

Ai In Finance focuses on developing and implementing AI solutions within finance, requiring technical and financial expertise. Data Analysts in Finance interpret financial data to support decision-making. While both roles work with financial data, Ai In Finance emphasizes AI development, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Ai In Finance jobs in Washington?

For Ai In Finance jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Ai In Finance jobs in Washington look for?

The top searched job categories for Ai In Finance jobs in Washington are:

What cities in Washington are hiring for Ai In Finance jobs?

Cities in Washington with the most Ai In Finance job openings:

Ai In Finance jobs near you
Infographic showing various Ai In Finance job openings in Washington as of August 2026, with employment types broken down into 74% Full Time, 17% Part Time, 2% Temporary, and 7% Contract. Highlights an 60% Physical, 4% Hybrid, and 36% Remote job distribution, with an average salary of $104,914 per year, or $50.4 per hour.

Lead GTM Finance Analyst (R5361)

Shield AI

Washington, DC • On-site

$110K - $160K/yr

Full-time

Re-posted 11 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:

We are building advanced autonomous systems that redefine the future of defense and national security. Scaling a mission-driven company at this pace requires financial precision, rapid insight, and a data backbone built for speed and accuracy.

We are hiring a GTM Finance business partner to support Sales, Business Development, Marketing, and Customer Success. This is a hybrid role across finance, data engineering, and operational strategy — ideal for someone who moves confidently between modeling, systems, and decision-making.

You will own the end-to-end GTM cost structure: OpEx budgets, headcount planning, spend analytics, and the data pipelines and reporting frameworks that power GTM intelligence. You’ll also set the SOPs and data quality standards that shift finance from reactive reporting to proactive leadership.

If you thrive in high-stakes environments and believe finance should steer the business — not just record it — you’ll excel here.

What you'll do:
Headcount & Spend Management
  • Build and maintain GTM headcount, spend forecasting, tracking, and capacity model
  • Provide full visibility into GTM Opex, identifying cost drivers and resource optimization opportunities
  • Monitor actuals vs. plan and forecast; drive accountability with cost center owners
  • Partner with Data Engineering and system owners to automate headcount reconciliations across HR, Finance, and GTM systems — including unit economics
Data Engineering & Analytics Infrastructure
  • Partner with Data Engineering and BI to define data architecture, KPIs, and source-of-truth models
  • Build automated reporting workflows and capacity models in partnership with Data Engineering or Anaplan teams
  • Write and maintain SQL for ETL workflows across the data lake / Databricks environment
  • Build and manage scalable, reliable data pipelines powering GTM finance reporting
  • Create semantic data models and curated reporting tables for consistent cross-team metrics
  • Build dashboards in Databricks, Power BI, or similar tools for real-time GTM visibility
Data Quality, Governance & SOPs
  • Establish and enforce data quality monitoring, validation rules, and anomaly detection
  • Write SOPs for key GTM finance processes: close, headcount reconciliation, budget loading, variance reporting
  • Drive consistent KPI and metric definitions across GTM, Finance, and Data
  • Implement data governance practices to protect reporting integrity
  • Identify data or process gaps and propose scalable solutions
Cross-Functional Collaboration & Process Improvement
  • Partner with Revenue Ops, HR, Recruiting, Accounting, and Data to ensure financial plans match operational reality
  • Collaborate with Revenue Operations on quotas, pipeline forecasting, and GTM capacity
  • Continuously streamline tools, reporting, and processes with an automation-first mindset
  • Lead special projects and strategic analyses for finance leadership
Required qualifications:
  • Bachelor’s degree in finance, Accounting, Economics, Business, CS, or related field
  • 3–6 years of experience in FP&A, GTM Finance, Sales Finance, RevOps, or equivalent analytical roles
  • Strong SQL skills, including the ability to write, optimize, and troubleshoot queries on large datasets
  • Proficiency with AI tools to improve analysis speed, accuracy, and productivity
  • Experience with cloud data platforms (Databricks, Snowflake, Redshift, etc.) and ETL/pipeline concepts
  • Demonstrated ability to build headcount models and GTM or corporate OpEx budgets
  • Advanced financial modeling skills in Excel; strong driver-based forecasting experience
  • Excellent communication skills with both technical and non-technical stakeholders
  • Exceptional attention to detail and commitment to data accuracy
  • Ability to operate independently in a fast-paced, mission-driven environment
  • Must be authorized to work in the United States
Preferred qualifications:
  • Experience in defense tech, aerospace, or dual-use hardware/software
  • Exposure to U.S. government contracting or milestone-based revenue models
  • Proficiency with AI tools to improve analysis speed, accuracy, and productivity
  • Experience with Anaplan or similar planning tools; ERP/CRM experience (Oracle, NetSuite, Salesforce)
Who you are:
  • Growth mindset — you actively seek feedback, learn quickly, and continuously raise your own bar
  • First principles thinker — you dig into the “why” to design smarter, simpler, more scalable solutions
  • Data and AI first operator — you automate, streamline, and systematize every process you touch
  • Highly collaborative — you build trust across Sales, Ops, Engineering, and Data
  • Operationally sharp — you turn messy input into fast, high quality decisions
  • Mission driven — motivated by work with real stakes and real impact
  • High ownership — you drive projects from ambiguity to execution without waiting to be asked
  • Rigorous yet pragmatic — you balance precision with speed and know when each matter
Why this role matters:

The GTM Finance business partner is the connective tissue between our growth ambitions and financial reality. Every headcount plan, marketing dollar, GTM model, and sales capacity decision depends on the insights and infrastructure you build.

You will shape how we invest, how fast we scale, and how effectively we win.
High impact. High visibility. Mission-critical.

This is finance with impact — high visibility, high complexity, and a direct line to the strategic decisions shaping how we go to market and win.

#LI-TF1
#LD

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.