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Lead AI-driven finance platform engineering at Goldman Sachs.
Senior VP role based in Dallas with cloud architecture leadership.
What We Do
At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets .
The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm’s and divisions’ leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm
Controllers engineers help ensure the firm meets all its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), measure and monitor the firm’s capital, balance sheet and liquidity metrics, and regulatory filings across the globe.
OUR Impact
Controllers Engineering is responsible for designing and implementing solutions to manage the firm’s P&L, measure and monitor the firm’s capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal‑making teams use to project, monitor and report externally to regulators for both regular business activity and under stress scenarios.
YOUR Impact
Our team of engineers builds solutions to the most complex problems. We develop cutting‑edge software and platforms that form the core of our key business and enable transactions to move in milliseconds. We provide real‑time access to critical deal information and process billions of data points each day to inform firm‑wide market insights and strategies. As a Vice President, you will serve as a technical architect and organizational leader that drive these initiatives forward. You will be responsible for the end‑to‑end delivery of mission‑critical platforms, providing strategic direction to global agile teams.
Why join the team?
AI-First Innovation: You won't just use AI; you will build the infrastructure that enables it. You will be at the forefront of the firm’s \"One Goldman Sachs\" AI transformation, building agentic workflows and LLM-integrated platforms that automate complex financial solutions that redefine how the Controllers division manages risk and productivity.
Cloud Technologies: You’ll be involved in building the next generation of finance systems onto the cloud platforms, one of the key strategies for the division in which you’ll get exposure to technologies like AWS, Snowflake, EMR etc.
Tools & Technologies: You’ll program in Java and model data using Alloy/Legend – a data management and data governance open source platform that we will teach you. Other technologies in use in our space: RESTful services, Maven/Gradle, Apache Spark, BigData, HTML 5, ReactJs, IntelliJ, Gitlab, Jira.
Autonomy: You’ll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm’s clients.
Creativity: You’ll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders.
Interpersonal Communication: You’ll engage with data producers and consumers across all areas of the business to understand their requirements and to propose solutions tailored to their needs.
Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility.
Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources.
This role offers an excellent opportunity to learn and interact with a range of businesses and products across the firm.
RESPONSIBILITIES AND QUALIFICATIONS
Design and implement scalable, cloud-native architectures on AWS and Snowflake that support high-concurrency AI workloads.
Develop high level and detailed technical designs, testing strategies, and implementation plans
In an Agile environment, manage end-to-end systems development from requirements analysis to coding, testing, UAT, implementation and maintenance
Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance
Understand and respond to business needs, facilitating and developing process workflow, data requirements, and specifications required to support implementation
Build strong relationships with business partners
Identify opportunities for cross-divisional collaboration and reuse of common solutions
Provide technical and functional guidance and leadership to junior members on a need basis
Build and maintain key financial metric calculation models and associated infrastructure to support forward-looking business strategies and decisions in an evolving regulatory landscape
Work closely with a wide range of stakeholders globally, including Controllers, Risk, Operations, and various business units
SKLLS AND EXPERIENCE WE ARE LOOKING FOR
Bachelor’s or Master’s degree in Computer Science or related technical discipline
8+ years of hands‑on software development experience preferably in Java or Python and competent in traditional (RDBs) and/or modern datastores (ex. Snowflake, Dynamo DB, Mongo DB)
Proven experience architecting solutions on Cloud (ex. AWS, GCP, Azure)
Experience with integrating LLMs into enterprise workflows and prompt engineering
Experience utilizing AI coding tools such as Copilot or Claude Code for development
Strong programming and problem‑solving skills
Strong full‑stack technical design, development skills and experience
Comfortable with multi‑tasking, managing multiple stakeholders and working as part of a team
Excellent communication skills including experience speaking to technical and business audiences globally
Interest in finance