Controllers, Vice President, Dallas, Software Engineering

What We Do

At Goldman Sachs, our Engineers don't just make things - we make things possible. 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.

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 across the globe. Our 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 stress scenarios.

Your Impact

As a Vice President, you will serve as a technical architect and organizational leader, driving critical initiatives forward and providing strategic direction to global agile teams. You are responsible for the end‑to‑end delivery of mission‑critical platforms and creating solutions ranging from deterministic automation to agentic workflows. Our team of engineers builds solutions to the most complex problems, developing 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 essential information and process millions of data points daily to inform firm‑wide market insights and strategies. Your role is to create, own and continuously improve these solutions, driving their growth and impact throughout the organization, championing engineering best practices and driving organizational change to maximize their impact.

This position provides a unique opportunity to gain subject matter expertise in both technology and finance, and to directly drive initiatives alongside colleagues and senior management from across the business, Risk, Finance, and Engineering to align technical execution with overarching strategic goals.

Responsibilities and Qualifications

Design and implement scalable cloud‑native business systems.

Manage, mentor, and grow a high‑performing team of software and AI engineers. Foster a culture of continuous learning, collaboration, and technical excellence.

Run AI‑driven spec‑driven development SDLCs to solve complex financial and technical problems.

Champion and enact organizational change. Streamline engineering processes, improve cross‑functional workflows, and drive the adoption of new technologies and best practices across the department.

Maintain strong organizational oversight of multiple concurrent projects, ensuring they are delivered on time, within scope, and to the highest quality standards.

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, across multiple divisions of the firm.

Skills and Experience We Are Looking For

• Bachelor's or master's degree in computer science or related technical discipline
• 10+ years of hands‑on software development including lead developer roles
• Experience architecting solutions on Cloud (ex. AWS, GCP, Azure)
• Experience with integrating LLMs into enterprise workflows
• Experience utilizing AI coding tools such as Copilot or Claude Code for development
• Experience developing preferably in Java or Python, competent in traditional (RDBs) and/or modern datastores (ex. Snowflake, Dynamo DB, Mongo DB)
• A strong passion for and history of solving complex, multi‑faceted problems in a fast‑paced environment
• Strong full‑stack technical design, development skills and experience
• Experience managing engineering teams, conducting performance reviews, and guiding career development for senior and junior staff