Full-Time

Data Engineering

Data Quality Assurance Regional Manager, Vice President, Dallas

Posted on 6/11/2026

Goldman Sachs

Goldman Sachs

10,001+ employees

Global investment banking, securities, asset management

No salary listed

Company Historically Provides H1B Sponsorship

Dallas, TX, USA

In Person

On-site in Dallas, Texas.

Category
QA & Testing (1)
Data & Analytics (1)
Required Skills
Software Testing
Data Governance
Data Analysis

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Requirements
  • Bachelor’s degree
  • A minimum of 6-8 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
Responsibilities
  • 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
  • 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
Desired Qualifications
  • Experience in data / transaction testing, governance, controls testing, or audit
  • Software engineering background
  • Familiarity with financial regulatory reporting

Goldman Sachs delivers financial services across investment banking, securities, and asset management to corporations, governments, financial institutions, and high-net-worth individuals. Its offerings include advising on mergers and acquisitions, underwriting and distributing new securities, and managing client assets, with revenue from advisory and underwriting fees, trading commissions, and asset-management fees. The firm differentiates itself through a global reach, an integrated capital-markets platform, and deep client relationships that enable end-to-end financial solutions. Its goal is to help clients raise capital, grow their businesses, manage risk, and generate returns, while pursuing social responsibility initiatives that support small businesses and promote racial equity.

Company Size

10,001+

Company Stage

IPO

Headquarters

New York City, New York

Founded

1869

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Simplify Jobs

Simplify's Take

What believers are saying

  • Goldman secured $70B retirement asset management deals from Verizon and Lockheed Martin in 2026.
  • AI-driven efficiency gains could boost 2029 earnings to $22.6 billion per optimistic analysts.
  • Diversifying AI investment beyond hyperscalers opens new asset management revenue streams for emerging opportunities.

What critics are saying

  • China's 92% rare earth refining dominance threatens AI infrastructure portfolios within 6–12 months with high impact.
  • Negative $47.2B free cash flow and 4.9x debt-to-equity expose Goldman to capital stress if 2029 targets stall.
  • Post-2025 tail risk rules will compress shareholder returns on fee-based lines within 6–12 months with high impact.

What makes Goldman Sachs unique

  • One GS is an AI-propelled operating model disrupting client onboarding, regulatory reporting, and sales enablement.
  • Goldman leads in agentic AI services via 'agent as a service' revenue models for multistep task execution.
  • The firm advises clients on energy infrastructure to overcome the 'gigawatt ceiling' bottleneck for AI data centers.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Health Savings Account/Flexible Spending Account

Paid Vacation

Paid Sick Leave

Paid Holidays

Professional Development Budget

Company News

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Wall Street's major banks are reporting strong earnings, with JPMorgan and Goldman Sachs benefitting from AI infrastructure buildout and geopolitical volatility. JPMorgan posted net income of $16.5 billion, up 13% year over year, whilst Goldman saw investment banking fees jump 48%. The AI boom is driving unprecedented corporate borrowing, with banks profiting from debt underwriting, bond trading and advisory services. Goldman led Oracle's $25 billion bond offering in February, one of the largest corporate sales recently. JPMorgan CEO Jamie Dimon cited "AI-driven capital investment" as a key macroeconomic driver. Meanwhile, war-related volatility is boosting trading desks. JPMorgan's fixed income trading rose 21%, driven by activity in commodities, credit and currencies. Goldman's equities division surged 27%, reflecting increased client hedging activity amid geopolitical uncertainty.

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Goldman Sachs has lowered its price target on Amazon to $275 from $280 whilst maintaining a Buy rating ahead of the company's earnings report on 30 April 2026. The revised target still implies upside from the current share price of around $240. Analyst Eric Sheridan highlighted four key areas shaping Amazon's trajectory: AWS cloud revenue growth and AI investment returns, rising energy prices affecting margins, the commercialisation timeline for Amazon Leo, and the fast-growing advertising platform. Amazon's AI push through AWS has reached an annualised revenue run rate exceeding $15 billion, whilst its chip business surpassed $20 billion in revenue with triple-digit growth. However, capital expenditures could approach $200 billion in fiscal 2026, pressuring free cash flow despite strong overall performance showing net sales of $716.9 billion and operating income of $80 billion for the full year.

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Goldman Sachs deploys Anthropic's Claude Mythos AI to find cyber vulnerabilities after US urging

Goldman Sachs is strengthening its cyber defences using Anthropic's Claude Mythos Preview AI model, according to CEO David Solomon. The bank is collaborating with Anthropic and security vendors to accelerate investment in its security infrastructure. Treasury Secretary Scott Bessent and Federal Reserve Chair Jerome Powell convened an urgent meeting with Wall Street leaders in Washington, urging banks to test the model against their systems. Mythos is designed to identify complex exploit chains—linked software vulnerabilities used in sophisticated cyberattacks that security researchers often miss. The model has discovered thousands of bugs, including one in OpenBSD that remained undetected for 27 years. US officials are pushing critical industries towards machine-scale cyber defence, though the approach has sparked international friction with European regulators and internal US government disagreements.

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