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Goldman Sachs

Advises on mergers and trades stocks and bonds

Wealth Management Operations Transformation Associate

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeAlbany, NY, USAIn-person

About the Job

Requirements

  • A Bachelor's degree in a STEM field is required.
  • A minimum of 3 years of experience in applied AI, business intelligence, data analytics, process automation, or a related discipline is required; financial services or wealth management experience is a plus.
  • Hands-on experience with prompt engineering and AI agents using enterprise AI platforms, such as Microsoft Copilot, is required.
  • Experience with low-code/no-code tools for automation and analytics, such as Power Platform, Alteryx, Tableau, Power BI, or similar, is required.
  • Familiarity with BPMN-style process modeling and workflow design tools is required.
  • Strong analytical skills and the ability to translate business needs into technical solutions are required.
  • A solid understanding of data governance, data quality, and regulatory compliance in a financial services context is required.
  • Effective collaboration across business, technology, and operations teams is required.

Responsibilities

  • Create advanced prompts and AI agents within approved AI platforms, contributing to prompt libraries and reusable templates.
  • Support the development of human-in-the-loop AI Assistants for employee and client-facing workflows, ensuring human oversight, escalation paths, and feedback loops.
  • Test, validate, and iteratively refine prompts and AI Assistants across intake, feasibility, prompt engineering, testing, risk review, pilot, and production stages.
  • Implement automation and analytics using low-code and self-service tools to expand data access, accelerate report development, and empower users.
  • Build and maintain dashboards, reports, and automated data flows that provide actionable insights to business stakeholders.
  • Support data quality, lineage, and governance standards across business intelligence and automation assets.
  • Design, document, and build workflows using BPMN-style process modeling within the firm's workflow platforms.
  • Translate business requirements into structured process models and identify opportunities to automate manual steps.
  • Partner with process owners to test, refine, and deploy workflows in alignment with the division's target operating model.
  • Contribute to business cases for AI Assistants, automation, and analytics products, including efficiency gains and key performance indicator frameworks.
  • Collaborate with business analysts, data engineers, prompt engineers, business intelligence developers, subject matter experts, and other cross-functional teams.
  • Uphold governance, data privacy, and regulatory compliance standards across AI, automation, and workflow deliverables.
  • Identify synergies between AI, automation, and analytics to enhance overall solution value.

Desired Qualifications

  • Experience in wealth management or financial services operations and technology.
  • Exposure to large language model-based applications, retrieval-augmented generation, and agentic AI frameworks.
  • Practical experience with BPMN workflow platforms, such as Camunda, Appian, or similar.
  • Relevant certifications in low-code platforms, BPMN, or AI platforms.

About the Company

Goldman Sachs

Advises on mergers and trades stocks and bonds

Goldman Sachs advises companies and governments on mergers, raises money for them by selling their stocks and bonds, and trades securities for big investors such as hedge funds and pension funds. It led Ford Motor's 1956 stock market debut, then the largest share sale in US history. Traders buy and sell stocks, bonds, currencies, and commodities for clients and lend them money, while bankers earn a fee on each deal they advise on or arrange. Its asset and wealth management arm invests for institutions and wealthy families and charges fees based on the money it oversees. The firm was founded in 1869, when it began brokering short-term IOUs for New York merchants, and it is based in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1869

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