The Goldman Sachs Group, Inc

Engineering - Data Platform - Technical Program Manager - Vice President - Dallas

The Goldman Sachs Group, Inc • $175K — $210K *
Dallas, TX 75217In-Person
Finance & Insurance
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or related field, or equivalent experience
  • 7+ years of technical program management experience in complex engineering programs
  • Strong working knowledge of data and cloud fundamentals, including SQL and APIs
  • Proven ability to partner with engineering teams to drive technical outcomes
  • Experience managing dependencies and risks across teams without direct authority
  • Comfortable with Agile methodologies and associated planning and reporting
  • Strong analytical skills and an ability to communicate complex problems clearly

Responsibilities

  • Own the product roadmap and work with engineering leads to establish clear milestones and manage dependencies
  • Run the commitment book to ensure delivery of organizational commitments across various stakeholders
  • Track and drive remediation of technology risks and compliance obligations
  • Lead cross-functional programs, ensuring successful delivery of platform migrations and AI-enablement projects
  • Steward financials related to budgeting, forecasting, and cost efficiency for the Lakehouse
  • Support organizational planning and talent management initiatives
  • Deeply understand the Legend platform to effectively represent it to stakeholders

Benefits

  • High visibility role with direct engagement with senior leadership
  • Opportunity to contribute to critical engineering functions within Goldman Sachs
  • Work in a dynamic, entrepreneurial environment that values creativity and innovation
  • Collaborate with diverse teams focused on customer-centric solutions
  • Engagement with a large user community, impacting a significant number of users monthly
Full Job Description
Job Description

YOUR IMPACT

We are looking for an experienced Technical Program Manager to join our Data Engineering team. Data is the lifeblood of Goldman Sachs, and our data platform is critical in delivering commercial success. In this role, you will partner directly with the leadership of our Data Platform organization to drive the strategy, planning, and execution of the two engines that power data at the firm: our data curation capabilities (data modelling, data APIs, data connections, and SQL query support) and our Lakehouse, the firm's centralized cloud data store.

This is a hands-on, technical role at the center of the organization. You will own the roadmap and the commitment book for a large engineering estate, run the risk and controls book of work, steward the financials, support the people agenda, and personally lead the cross-cutting programs that are too important, too complex, or too cross-functional to leave to chance. You will spend your days with engineers, architects, and engineering leaders - so you will need enough depth in data and computer science concepts to hold your own in an architecture discussion, read a data model, reason about a query plan, and ask the second and third question, not just the first.

Our open-sourced Legend Data Platform is central to our strategy; you will help drive its adoption by supporting new workflows and AI-driven use cases across the firm. Our Lakehouse underpins analytics, reporting, and AI for every division. You will contribute to a team that values customer-centricity and collaborative development, working alongside Data Engineering leadership, divisional users, and engineers to deliver solutions for internal and external business opportunities - serving a community of 35k+ monthly active users.

The ideal candidate is excited by hard technical problems, comfortable operating with incomplete information, and energized by getting things done. We are looking for a talented and passionate Technical Program Manager who thrives in an extremely entrepreneurial, fast paced environment. This is a high visibility role, backed by some of the senior-most leaders of the firm, and as such, will require creativity and drive to deliver on an ambitious roadmap.
HOW YOU WILL FULFILL YOUR POTENTIAL

You will act as a force multiplier for Data Platform leadership - translating strategy into a sequenced plan, making the state of the world visible, unblocking engineering teams, and personally executing on the initiatives that matter most. You will break complex, ambiguous problems into steps that teams can act on, adopting the principles of early releases and incremental delivery to generate evidence of value.

As a Technical Program Manager in Data Engineering, you will:
  • Contribute to one of the most critical Engineering functions at Goldman Sachs.
  • Own the roadmap - work with engineering leads to define milestones, sequence dependencies, surface trade-offs, and keep the plan honest as priorities shift.
  • Run the commitment book. Maintain a single, trusted view of every major commitment the organization has made - to divisions, to Engineering leadership, to Risk, to Audit, and to regulators - and drive them to closure, escalating early when they are at risk.
  • Own the risk book of work. Track and drive remediation of technology risk, control, audit, and regulatory items across the estate; partner with Risk, Compliance, and Engineering leads to ensure obligations are met on time.
  • Lead critical cross-cutting programs end to end. Platform migrations, adoption and decommissioning efforts, data model and API rollouts, query engine and performance initiatives, and AI-enablement programs - from framing through delivery and measurable outcome.
  • Steward the financials. Support leadership on budget planning and forecasting, headcount and vendor spend, and cloud consumption and cost efficiency for the Lakehouse estate; build the reporting that lets leaders make cost decisions with evidence.
  • Support the people agenda. Partner with leadership on organizational planning, hiring pipelines, onboarding, location strategy, engagement, and talent and performance processes.
  • Go deep technically. Become a proficient user of the Legend platform; understand our data models, data APIs, connection patterns, and query workloads well enough to challenge assumptions, spot dependencies others miss, and represent the platform credibly to senior stakeholders.
  • Use data to run the business. Build and maintain the metrics that describe platform health, adoption, delivery throughput, cost, and user experience.
  • Partner with AI initiatives. Help ensure new AI-driven capabilities are delivered in line with the firm's data governance and AI standards.
  • Establish robust relationships with our divisional partners and users so that what we build lands with impact, and connect the work of the team to the firm's commercial outcomes.
  • Improve how the organization runs - sharpen planning, reporting, and governance rhythms, and shape standards within the firmwide Engineering community.
BASIC QUALIFICATIONS
  • Bachelor's degree in Computer Science, or a related technical and/or business discipline, or equivalent practical experience
  • 7+ years of technical program or project management experience delivering complex engineering programs, ideally within a data, platform, or infrastructure organization
  • Working knowledge of data and cloud fundamentals: strong SQL, relational and analytical databases, data modelling concepts, APIs, and public cloud.
  • Demonstrated success partnering with engineering teams to deliver technical outcomes - not just tracking them
  • Track record of managing dependencies, risks, and issues across multiple teams, and of driving items to closure without direct authority
  • Comfortable with Agile ways of working and with the planning and reporting mechanics that support them
  • Demonstrated ability to communicate complex technical problems, plans, and trade-offs clearly to both engineers and senior non-technical stakeholders
  • Ability to set goals, meet deadlines and effectively communicate progress to stakeholders
  • Exceptional organization and attention to detail - you are the person who holds the thread when nobody else does
  • Strong analytical and problem-solving skills
  • Independent thinker, willing to engage, challenge or learn
  • Ability to stay commercially focused and to always push for quantifiable commercial impact
  • A healthy obsession with the quality of the platform and the experience of the engineers and users who depend on it, and a willingness to be their internal advocate
  • Proven ability to lead by example, with a positive, solutions-oriented attitude
  • Strong work ethic, a sense of ownership and urgency
PREFERRED QUALIFICATIONS
  • Master's degree or MBA in Computer Science, Engineering, or a related field
  • Hands-on exposure to modern Lakehouse and data platform technologies - for example object storage, open table formats (Apache Iceberg, Delta Lake), Spark, Snowflake, Databricks, BigQuery, or comparable
  • Familiarity with data modelling and semantic modelling approaches, data APIs, data contracts, and data governance, lineage, and access control concepts
  • Understanding of AI and machine learning delivery, including the model development lifecycle, retrieval-augmented generation and LLM-based applications, and the data foundations required to support them
  • Scripting or data manipulation skills in Python
  • Experience supporting a technology risk, controls, audit, or regulatory book of work
  • Prior experience in financial services or another highly regulated, data-intensive environment
  • Experience with, or contributions to, open source data tooling - our Legend platform is open sourced through FINOS
WHO YOU ARE

We care as much about how you work as what you have worked on. You will thrive here if you are:
  • Self-motivated and driven - you set your own pace and do not need to be told what needs doing next.
  • Intellectually curious - you pick up new technical domains quickly, and you enjoy the learning as much as the outcome.
  • Someone who looks around corners - you anticipate the problem three months out and start solving for it now.
  • Detail-oriented and organized - nothing falls through the cracks on your watch.
  • Execution- and outcome-oriented - you can point to what measurably improved because you were there.
  • A pragmatist - you know when 80% delivered this week beats 100% delivered next quarter, and you can tell the difference.
  • An incremental deliverer - you put work in front of people early, invite the feedback, and iterate.
  • A strong communicator, in writing and in the room, with engineers and with senior leadership alike.
  • Collaborative and genuinely helpful to engineers - you understand how they work, you make their lives easier, and you earn their trust through substance.
  • Commercially aware - you can connect your work to the firm's goals and articulate why it matters.
  • Flexible and happy to wear many hats - the mix of roadmap, risk, financials, people, and delivery will shift week to week.
  • Comfortable with ambiguity - you can make progress when the problem is not yet fully defined.

About The Goldman Sachs Group, Inc

The Goldman Sachs Group, Inc. provides investment banking, securities, and investment management services, as well as financial services to corporations, financial institutions, governments, and high-net-worth individuals worldwide. Its Investment Banking segment offers financial advisory services, including advisory assignments concerning mergers and acquisitions, divestitures, corporate defense, risk management, and restructurings and spin-offs; and underwriting services comprising public offerings and private placements of a range of securities, loans, and other financial instruments, and derivative transactions. The company’s Institutional Client Services segment provides client execution services, such as fixed income, currency, and commodities client execution related to making markets in interest rate products, credit products, mortgages, currencies, and commodities; and equities related to making markets in equity products, as well as executes and clears institutional client transactions on stock, options, and futures exchanges. This segment also engages in the securities services business providing financing, securities lending, and other brokerage services to institutional clients, including hedge funds, mutual funds, pension funds, and foundations. Its Investing and Lending segment originates longer-term loans; and invests in debt securities, loans, public and private equity securities, real estate, consolidated investment entities, distressed assets, currencies, commodities, and power generation facilities. The company’s investment management segment provides investment products and services, as well as offers wealth advisory services, including portfolio management and financial counseling, and brokerage and other transaction services.

The Goldman Sachs Group, Inc. Careers

Join the prestigious team at The Goldman Sachs Group, Inc., a global leader in finance and investments, and propel your career to new heights. Our firm is renowned for its commitment to excellence, innovation, and leadership in the financial sector.

Work You’ll Do

At Goldman Sachs, you will be part of a dynamic environment that fosters growth, diversity, and professional development. Engage in transformative projects that redefine the landscape of global finance, driven by a culture of high performance and continuous improvement.

Lead with Innovation and Leadership

Step into a role where your skills will be honed and your leadership capabilities enhanced. The Goldman Sachs Group, Inc. is at the forefront of merging financial expertise with technological innovation, creating a platform for you to lead impactful initiatives.

Join Our Diverse and Inclusive Team

Diversity and inclusion are at the core of our company culture. With employees from various backgrounds, Goldman Sachs thrives on the rich ideas and perspectives that this diversity brings. Here, every team member’s contribution is valued, and every voice is heard.

Explore Job Opportunities and Internships

Whether you’re seeking full-time employment or looking into internship opportunities, Goldman Sachs offers a range of positions that cater to different skills, experiences, and career aspirations. From analyst to executive positions, discover how you can contribute to our legacy of success.

Networking and Professional Growth

Goldman Sachs is not just a workplace. It is a community where you can build lasting relationships with colleagues and industry leaders. Our networking events, mentorship programs, and professional groups foster connections that can accelerate your career trajectory.

Benefits and Career Development

Invest in your future with Goldman Sachs’ unparalleled employee benefits and career development programs. From comprehensive health benefits to personalized career coaching and leadership training, we ensure that our team is equipped for success, both professionally and personally.

Prepare for Your Future

Ready to take the next step? Prepare your resume, sharpen your interview skills, and explore the vast array of job opportunities at The Goldman Sachs Group, Inc. Our hiring process is designed to identify and nurture talent, helping you to achieve your career goals.

Stay Connected

Keep up to date with the latest from Goldman Sachs Careers by subscribing to our job alert emails. Tailor your preferences to receive updates that match your career interests and stay ahead in the competitive financial sector.

Join The Goldman Sachs Group, Inc.

Embark on a rewarding journey with The Goldman Sachs Group, Inc. where your potential is limitless. Explore positions, read about our company culture, and apply today to become part of a team that values growth, leadership, and innovation.

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At The Goldman Sachs Group, Inc., your career is just the beginning – it’s an opportunity to excel and lead in the global financial industry. Join us and make your mark!
Learn more about The Goldman Sachs Group, Inc
Size
45,100 employees
Market Cap
$115.8 billion
Industry
Finance & Insurance
Net Income
$9.4 billion
Founded
1869
5 Year Trend
+11.3%
Revenue
$53.4 billion
NASDAQ
GS
* Ladders Estimates
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