Senior Analyst, Artificial Intelligence

About the job

Senior Analyst, Artificial Intelligence

Western Union is seeking a highly analytical and technically skilled Senior Analyst, Artificial Intelligence to support the Digital GTM organization by developing, deploying, and scaling AI-driven solutions that improve business decision-making, operational efficiency, and growth outcomes.
This role will serve as a key AI practitioner within the GTM team, responsible for building and maintaining AI agents, developing business and semantic context to improve AI effectiveness, and creating scalable AI-powered capabilities that generate actionable insights. The individual will partner closely with Marketing, Product, Pricing, Analytics, Risk, Payments, and regional GTM leaders to translate business needs into practical AI solutions.
The ideal candidate combines strong analytical and technical capabilities with business acumen and a passion for applying artificial intelligence to solve complex business challenges. This role requires both hands-on execution and the ability to collaborate effectively across functional teams to identify opportunities and deliver measurable business impact.

Applicants must be currently authorized to work in the United States on a full-time basis. Western Union will not sponsor applicants for work visas for this position.

• Role Responsibilities
• Develop, deploy, and maintain AI-powered solutions that support business analysis, decision-making, and operational efficiency across the GTM organization.
• Build and manage AI agents that automate workflows, answer business questions, generate insights, and improve productivity.
• Design and implement scalable AI workflows leveraging large language models (LLMs), retrieval frameworks, semantic search, and agentic architectures.
• Monitor AI solution performance and continuously optimize outputs, reliability, and business impact.
• Develop and maintain business context, taxonomies, semantic models, and knowledge assets that improve AI accuracy and relevance.
• Translate business terminology, operating metrics, and GTM processes into structured knowledge frameworks that can be leveraged by AI solutions.
• Ensure AI agents and models utilize accurate business definitions, KPIs, customer segmentation frameworks, and operational terminology.
• Partner with business stakeholders to continuously improve organizational knowledge assets and training data.
• Leverage AI tools and advanced analytics techniques to identify trends, opportunities, risks, and growth drivers.
• Deliver actionable insights that support customer acquisition, retention, transactions, revenue growth, and operational optimization.
• Develop automated reporting, insight generation, and decision-support capabilities for GTM leaders.
• Support strategic initiatives through data analysis, experimentation, forecasting, and performance measurement.
• Serve as a central point of contact for AI capability requests across GTM and cross-functional organizations.
• Evaluate incoming business requests and prioritize opportunities based on business impact, feasibility, and strategic alignment.
• Gather requirements, define use cases, document success metrics, and coordinate solution delivery.
• Educate stakeholders on AI capabilities, best practices, and emerging technology opportunities.
• Ensure AI solutions comply with company policies, data governance standards, risk requirements, and responsible AI principles.
• Document AI use cases, methodologies, processes, and implementation standards.
• Research emerging AI technologies and recommend innovative applications that support Western Union’s digital growth strategy.
• Contribute to the ongoing evolution of the GTM AI roadmap and capability portfolio.
• Build effective partnerships across business and technical teams and communicate complex technical concepts in a clear, business-friendly manner.
• Promote innovation, curiosity, continuous learning, and serve as a trusted advisor to stakeholders seeking AI-driven solutions.

• Role Requirements
• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Information Systems, Business Analytics, or a related field.
• 3+ years of experience in analytics, artificial intelligence, machine learning, business intelligence, data science, or a related discipline.
• Experience developing AI, machine learning, automation, or advanced analytics solutions.
• Experience translating business requirements into technical solutions.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent written and verbal communication skills.
• Experience working with cross-functional business stakeholders.
• Demonstrated ownership, accountability, and ability to deliver high-quality AI solutions and measurable business outcomes.

• Preferred Qualifications
• Master’s degree in Data Science, Artificial Intelligence, Computer Science, Analytics, or a related field.
• Experience developing AI agents, copilots, knowledge assistants, or workflow automation solutions.
• Experience with LLM platforms such as Claude, OpenAI, Azure OpenAI, Snowflake Cortex, Microsoft Copilot Studio, or equivalent technologies.
• Experience with semantic search, vector databases, retrieval-augmented generation (RAG), prompt engineering, and agent orchestration frameworks.
• Familiarity with SQL, Python, data visualization platforms, and cloud-based AI solutions.
• Experience in fintech, payments, digital commerce, financial services, or technology organizations.
• Knowledge of responsible AI, governance, and model evaluation best practices.
• Experience with machine learning, API integrations, cloud technologies, vector databases, data engineering concepts, or product analytics.

Work Shift

HYBRID – Western Union values in-person collaboration, problem solving, and ideation whenever possible. We believe this fosters common ways of working and supports how we execute initiatives for our customers. The expectation is to work from the office a minimum of three days a week.

Location : 80 Pine St., Unit 2600, New York City, NY 10005 (preferred)

BENEFITS AND OTHER DETAILS

• Benefits
• You will also have access to short-term incentives, multiple health insurance options, accident and life insurance, and access to best-in-class development platforms, to name a few ( https://careers.westernunion.com/global-benefits/ ). Please see the benefits below specific to your country. If applicable, additional role-specific benefits will be mentioned during your interview process or in an offer of employment.
• Your United States specific benefits include:
• Medical, Dental, Vision, and Life Insurance
• Paid Time Off
• Parental Leave
• Global Adoption Assistance
• 401K Plan
• For residents of Colorado, California, Connecticut, Delaware, Minnesota, and Pennsylvania: Please do not respond to any questions on this initial application that may seek age-identifying information such as age, date of birth, or dates of school attendance or graduation. You may also redact this information from any materials you submit during the application process. You will not be penalized for redacting or removing this information.

Salary
The base salary range is $110,000 – $140,000 USD per year; total on-target earnings include a base salary and short-term and long-term incentives that align with individual and company performance. Actual salaries will vary based on candidates’ qualifications, skills, and competencies.

Other Details
We are passionate about honoring our employee's identity and fostering a feeling of belonging. Our commitment is to provide an inclusive culture that celebrates the unique backgrounds and perspectives of our global teams while reflecting the communities we serve. We do not discriminate based on race, color, national origin, religion, political affiliation, sex (including pregnancy), sexual orientation, gender identity, age, disability, marital status, or veteran status. The company will provide accommodation to applicants, including those with disabilities, during the recruitment process, following applicable laws.

Estimated Job Posting End Date:
11-30-2026
This application window is a good-faith estimate of the time that this posting will remain open. This posting will be promptly updated if the deadline is extended or the role is filled.

Estimated Job Posting End Date:
11-30-2026 This application window is a good-faith estimate of the time that this posting will remain open. This posting will be promptly updated if the deadline is extended or the role is filled.