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Data Engineering - Data Quality Assurance Regional Manager - Vice President - Dallas

Goldman Sachs

Data Engineering - Data Quality Assurance Regional Manager - Vice President - Dallas

Goldman Sachs

Dallas, Texas, United States

·

On-site

·

Full-time

·

6d ago

Required Skills

Machine Learning

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.

If you’re passionate about transforming how a global firm understands, governs, and activates its data, this role puts you right at the center of that mission. As a Data Quality Assurance Lead, you won’t just execute processes — you’ll build and lead a team that helps shape the future of data across the firm, driving initiatives by applying innovation that directly influences decisions, client experiences, and regulatory outcomes.

Who We Are

The Data Governance Office is a global, firmwide organization dedicated to ensuring that data is trusted, well-managed and strategically leveraged. We collaborate closely with divisional stakeholders to provide transparency into how data flows through the firm — from creation to aggregation and transformation to consumption — and how it is maintained at every stage through data quality controls. Our work enables the business to reduce duplication, respond faster to opportunities, elevate client experiences, and meet rapidly evolving regulatory expectations.

Who We Look For

Goldman Sachs Engineers are innovators and problem-solvers, building solutions in data management, cloud computing and artificial intelligence. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. The firm is investing significantly to enhance data quality across the firm, to enable increased data commercialization, improve client experience, and ensure high quality of data sent to other external and internal parties.

Your Impact

As a member of the team, you will be a key driver of our data quality assurance program, influencing senior stakeholders and shaping data quality strategies as part of the team’s initiatives. You will build and lead the end-to-end data testing function in India, influence stakeholders across divisions and build scalable, automated approaches to testing.

You will deliver real impact by:

  • Championing firmwide data governance, partnering with Divisional Data Offices to promote the adoption of policies and standards
  • Leading transformative work on end-to-end data testing for key deliverables
  • Innovating with AI and automation to scale data testing capabilities and unlock new efficiencies
  • Defining and implementing end-to-end data testing metrics reporting
  • Building consensus across global teams, aligning with stakeholders on data quality priorities
  • Working with divisions to monitor progress, ensuring that program goals are delivered

How You Will Fulfill Your Potential

You won’t just execute — you’ll shape the future of how the firm governs its data. You will:

  • Build, and lead a team responsible for executing end-to-end testing to assess data accuracy of key deliverables
  • Lead working groups to improve end-to-end data testing processes
  • Establish reference materials and standards that scale consistently across the firm
  • Drive the execution of the data governance framework, policies, standards, and processes
  • Guide teams on implementing the governance requirements and best practices
  • Provide analytics that enable data consumers and producers to drive remediation efforts
  • Communicate progress, risks and priorities to senior stakeholders and within the team
  • Strengthen your understanding of data and the underlying businesses that use it

Basic Requirements

  • Bachelor’s degree
  • A minimum of 8 years of experience in financial services
  • Experience of leading teams
  • Proficient in executing data queries and performing data analysis
  • Ability to communicate with influence – from working groups to senior stakeholders
  • Demonstrate effective analytical, critical thinking, be detail-oriented and have excellent organizational skills
  • Build strong relationships, collaborate across functions, and drive change
  • Execution-focused, proactive and working well in a collaborative environment, demonstrating excellent interpersonal skills

Preferred Experience

  • Experience in data / transaction testing, governance, controls testing, or audit
  • Software engineering background
  • Familiarity with financial regulatory reporting

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About Goldman Sachs

Goldman Sachs

Goldman Sachs is a multinational investment bank and financial services company providing investment banking, securities, and investment management services. The firm serves corporations, financial institutions, governments, and individuals worldwide.

45,000+

Employees

Lower Manhattan

Headquarters

Reviews

2.6

10 reviews

Work Life Balance

1.8

Compensation

4.2

Culture

2.1

Career

2.9

Management

2.0

25%

Recommend to a Friend

Pros

High compensation and competitive salaries

Talented coworkers and good teamwork

Prestigious work environment

Cons

Poor work-life balance and long hours (70+ weekly)

Toxic and cutthroat competitive culture

High stress and burnout risk

Salary Ranges

21,066 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

6,923 reports

$112,993

total / year

Base

$97,759

Stock

-

Bonus

$15,234

$77,583

$166,892

Interview Experience

5 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 60%

Negative 40%

Interview Process

1

Application Review

2

Phone Screen/HireVue Video Interview

3

Superday/Panel Interview

4

Final Decision

Common Questions

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience

Case Study