Vice President, Engineering Data Platform Technical Program Manager

Goldman Sachs

Confirmed live 2 days ago High trust

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Work type
On-site
Location
Dallas, TX
Posted
14 days ago
Freshness
Confirmed live 2 days ago

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Similar $191k
$146k most similar roles pay here $241k

This listing doesn't post a salary. Most similar roles pay $158,512–$223,117.

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About Goldman Sachs

Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.

Goldman Sachs currently has 134 open roles on FindRole.

Listed pay typically runs $137,000–$250,000 across 55 roles with salary data.

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TL;DR · Vice President, Engineering Data Platform Technical Program Manager

Engineering - Data Platform - Technical Program Manager - Vice President joins the Data Engineering team to drive strategy, planning, and execution for critical data infrastructure. This role manages the roadmap and commitment book for a large engineering estate, overseeing risk and controls, financial stewardship, and cross-functional programs including platform migrations, API rollouts, and AI-enablement initiatives. The candidate will work with engineers and architects to manage the Lakehouse cloud data store and the open-source Legend Data Platform. Required skills include proficiency in SQL, relational and analytical databases, data modeling, APIs, and public cloud fundamentals. Preferred qualifications include experience with Spark, Snowflake, Databricks, BigQuery, Python scripting, and advanced concepts like Apache Iceberg or Delta Lake. The role solves complex problems regarding data curation, query performance, and the integration of AI-driven use cases within a regulated environment.

What you'll do

  • Own the roadmap by defining milestones, sequencing dependencies, and managing trade-offs for the data platform.
  • Manage the commitment book to ensure all internal and regulatory obligations are met on time.
  • Track and drive the remediation of technology risks, controls, audit items, and regulatory requirements.
  • Lead complex cross-cutting programs including platform migrations, API rollouts, and AI-enablement initiatives.
  • Steward financials by managing budget planning, headcount, vendor spend, and cloud cost efficiency.
  • Support the people agenda by assisting with hiring, onboarding, and organizational planning.
  • Engage in deep technical discussions regarding data models, query plans, and architecture to challenge assumptions.
  • Develop metrics to monitor platform health, adoption rates, delivery throughput, and user experience.

What we're looking for

  • Bachelor's degree in Computer Science, a related technical/business discipline, or equivalent practical experience.
  • 7+ years of technical program or project management experience delivering complex engineering programs.
  • Working knowledge of data and cloud fundamentals including SQL, relational/analytical databases, data modeling, APIs, and public cloud.
  • Demonstrated success partnering with engineering teams to deliver technical outcomes and managing cross-team dependencies and risks.
  • Proficiency in Agile methodologies and the associated planning and reporting mechanics.
  • Ability to communicate complex technical problems and trade-offs clearly to both engineers and senior non-technical stakeholders.
  • Preferred: Master's degree or MBA in Computer Science, Engineering, or a related field.
  • Preferred: Hands-on experience with Lakehouse technologies (Spark, Snowflake, Databricks), Python scripting, and AI/ML delivery.

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