Data Engineering - Data Quality Assurance Regional Manager - Vice President - Dallas
Goldman Sachs · Dallas, TX
- On site
- Full-time
- $150,000 / year
- Dallas, TX
Job highlights
- Lead data quality assurance for a global firm.
- Build and manage a high-performing team.
- Drive data governance and testing innovation.
- Influence senior stakeholders on data strategy.
- Shape data quality for client and regulatory needs.
About the role
About Us
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.
The Role
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.
The Data Governance Office
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 Dallas, influence stakeholders across divisions and build scalable, automated approaches to testing.
What You Will Deliver
- 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
Key skills/competency
- Data Quality Assurance
- Data Governance
- Team Leadership
- Data Analysis
- Financial Services
- Regulatory Reporting
- SQL
- AI & Automation
- Stakeholder Management
- Data Testing
Skills & topics
- Data Engineering
- Data Quality
- Data Governance
- Manager
- Vice President
- Goldman Sachs
- Dallas
- Financial Services
- Team Leadership
- Data Analysis
- SQL
- Regulatory Reporting
- AI
- Automation
- Testing
How to get hired
- Tailor your resume: Highlight leadership, financial services, and data quality assurance experience for this Data Quality Assurance Regional Manager role.
- Showcase analytical skills: Emphasize proficiency in data queries, data analysis, and problem-solving in your application.
- Demonstrate leadership: Provide examples of leading teams and driving change in your past roles.
- Research Goldman Sachs: Understand their data governance initiatives and how your experience aligns with their mission.
- Prepare for behavioral questions: Be ready to discuss collaboration, influence, and stakeholder management.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key responsibilities for a Data Quality Assurance Regional Manager at Goldman Sachs?
- As a Data Quality Assurance Regional Manager at Goldman Sachs, you will lead the end-to-end data testing function, build and manage a team, champion data governance, innovate with AI and automation for testing, and influence senior stakeholders to shape data quality strategies.
- What qualifications are essential for this Data Quality Assurance Regional Manager position?
- Essential qualifications include a Bachelor's degree, a minimum of 8 years of financial services experience, proven team leadership skills, proficiency in data queries and analysis, and strong communication and organizational abilities. Experience in data/transaction testing or governance is preferred.
- How does Goldman Sachs approach data quality and governance?
- Goldman Sachs' Data Governance Office is dedicated to ensuring data is trusted, well-managed, and strategically leveraged. They focus on transparency of data flow, implementing data quality controls, and enabling the business to reduce duplication, respond faster, elevate client experiences, and meet regulatory expectations.
- What is the expected impact of this Data Quality Assurance Regional Manager role at Goldman Sachs?
- This role has a significant impact by driving the data quality assurance program, influencing senior stakeholders, shaping data quality strategies, and building scalable, automated testing functions. Your work will directly influence decisions, client experiences, and regulatory outcomes.
- What kind of team environment can I expect at Goldman Sachs for this role?
- You can expect a collaborative and fast-paced global environment where engineers are innovators and problem-solvers. The firm invests significantly in data quality, and you'll work with creative collaborators who evolve and adapt to change.
- How does Goldman Sachs leverage technology in data quality assurance?
- Goldman Sachs is innovating with AI and automation to scale data testing capabilities and unlock new efficiencies. This role involves leveraging these technologies to improve the data testing function and drive better outcomes.
- What is the career growth potential for a Data Quality Assurance Regional Manager at Goldman Sachs?
- This role offers significant potential to shape the future of data governance within a leading global financial firm. You will gain extensive experience in data management, stakeholder influence, and leadership, providing a strong foundation for further career advancement within the company.