Vice President of Software Engineering - AI-Driven Finance Platform

Goldman Sachs (lateral)

Dallas (TX)

On-site

USD 180,000 - 280,000

Full time

6 days ago
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Job summary

Goldman Sachs (lateral) seeks a Vice President Software Engineer to lead and scale a high-performing team within Controllers Engineering. You will architect and deliver AI-powered, cloud-native reconciliation platforms that handle P&L, capital, liquidity, and regulatory metrics across global teams.

The role emphasizes mentorship, cloud migration, and collaboration with finance, risk, and deal teams to ensure accurate, auditable, and scalable data solutions.

Qualifications

  • Bachelor's or Master's degree in Computer Science or related technical discipline.
  • Hands-on software engineering with cloud and data platforms; experience with modern tech stacks.
  • Proven leadership experience mentoring and guiding junior engineers.
  • Experience with cloud migration and transforming legacy systems.

Responsibilities

  • Lead and mentor a 10+ engineer team across global squads.
  • Design and implement platforms to manage P&L, capital, balance sheet, liquidity, and regulatory metrics.
  • Modernize the Data Reconciliation Platform into an AI-powered cloud-native solution.
  • Collaborate with business partners and cross-divisional teams to drive scalable, reusable solutions.

Skills

Leadership
Mentoring
Stakeholder communication
Architecture design

Education

Bachelor's or Master's degree in Computer Science

Tools

AWS
AI platforms
RESTful services
Apache Spark
BigData
ReactJs/NextJs
IntelliJ/VSCode
Gitlab
Kubernetes/Terraform

Job description

Goldman Sachs (lateral) seeks a Vice President Software Engineer to lead and scale a high-performing team within Controllers Engineering. You will architect and deliver AI-powered, cloud-native reconciliation platforms that handle P&L, capital, liquidity, and regulatory metrics across global teams.

The role emphasizes mentorship, cloud migration, and collaboration with finance, risk, and deal teams to ensure accurate, auditable, and scalable data solutions.

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