QA Lead

Posted 7 Days Ago
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Washington, DC, USA
In-Office
Senior level
Big Data • Edtech • Analytics
The Role
Lead end-to-end QA strategy for an enterprise data/AI platform: manage SIT/UAT, defect triage, offshore QA team, test evidence, data reconciliation, and go/no-go readiness for production cutover.
Summary Generated by Built In

About Data Society Group
At Data Society Group, we provide the highest quality, leading-edge, industry-tailored data and AI training and solutions for Fortune 1,000 companies and federal, state, and local governmental organizations. We partner with our clients to educate, equip, and empower their workforces with the skills they need to achieve their goals and expand their impact. Our portfolio of brands and services sits at the intersection of people, data, and AI and consists of:

  • CDO Magazine, the trusted voice of global data and AI leadership
  • The Data Lodge, a pioneer in data literacy and cultural transformation
  • Data Society, delivering applied AI education and custom-built solutions
  • InspiredMinds!, a convening force behind the world’s most inclusive AI community

We are working to empower the workforces of the future; if you’re as passionate about transforming workplaces with the power of Data & AI as we are, we’d love to hear from you!

About the Role
The QA Lead owns the end-to-end test strategy for the platform, coordinating system integration testing (SIT), user acceptance testing (UAT), defect triage, and go/no-go readiness across all functional areas. In this role, you will lead our offshore QA team, manage the test exit criteria process, and serve as the critical quality gate between build completion and production cutover.

This is a senior-level, project-based engagement requiring demonstrable test leadership, strong client-facing communication skills, and hands-on authority over quality assurance. This role is work-from-home (remote) though must be able to commute to client offices in Falls Church, VA as needed (estimated every 2 weeks).This is a full-time W2 employment position with benefits. Please note that this role is tied to a client contract and is structured as an initial 9-month position. Opportunities for extension or longterm placement are highly likely based on client renewal and project performance.

Responsibilities
As the QA Lead, you will be responsible for setting quality standards, coordinating cross-functional testing, and validating end-to-end platform integrity. Your primary duties include:

  • Test Strategy & Governance: Define and own the end-to-end test strategy, covering SIT, UAT, regression, integration, data reconciliation, and performance testing across all functional areas. Provide formal QA sign-off at each sprint demo and phase exit gate.
  • UAT Facilitation: Coordinate and facilitate UAT sessions with business users across all functional workstreams, managing scheduling, guidance, and formal sign-off.
  • Team Leadership & Defect Triage: Lead and direct the offshore QA Engineer team by assigning test coverage, reviewing defect logs, and managing resolution timelines. Triage defects by severity, assign ownership, and track issues to resolution.
  • Cross-Functional Collaboration: Partner with the DevOps/Platform Engineer and Data Engineering Lead to ensure test environment readiness and data availability prior to test cycles. (Note: This role owns the acceptance gate, not environment provisioning).
  • Data Freshness & Reconciliation: Own the test evidence and acceptance process for OIC data freshness and reconciliation validation, confirming delta sync accuracy against agreed SLAs.
  • Go/No-Go & Audit Readiness: Manage the go/no-go readiness checklist, ensuring all exit criteria are met prior to production cutover authorization. Maintain comprehensive test documentation, traceability matrices, and defect logs for audit and handoff purposes.

Required Skills & Experience

  • 6–10 years of progressive QA experience, with at least 3 years in a QA Lead or Test Management role (must have demonstrable test leadership experience, not just hands-on execution).
  • Proven experience owning an end-to-end test strategy for enterprise web applications.
  • Strong experience coordinating UAT with non-technical business stakeholders and presenting go/no-go recommendations to executive leadership.
  • High proficiency with Jira or equivalent enterprise defect and test management tooling.
  • Experience validating data outputs against source system records.
  • Experience managing offshore QA teams and coordinating asynchronous test execution.
  • Familiarity with automated testing frameworks (e.g., Playwright, Selenium, or similar).
  • Familiarity with AI-generated test suites and agentic QA approaches, with the ability to review and govern AI-assisted test coverage.
  • Exceptional verbal and written communication skills.

Preferred Qualifications

  • Prior experience testing enterprise financial, ERP, or data-intensive applications.
  • Familiarity with Oracle Integration Cloud (OIC) or API integration testing, validating end-to-end data flow across system boundaries.
  • Experience with Azure DevOps test plans or similar enterprise test management tooling.
  • ISTQB certification or equivalent formal QA qualification.

Skills Required

  • 6-10 years of progressive QA experience, with at least 3 years in a QA Lead or Test Management role
  • Proven experience owning an end-to-end test strategy for enterprise web applications
  • Strong experience coordinating UAT with non-technical business stakeholders and presenting go/no-go recommendations to executive leadership
  • High proficiency with Jira or equivalent enterprise defect and test management tooling
  • Experience validating data outputs against source system records
  • Experience managing offshore QA teams and coordinating asynchronous test execution
  • Familiarity with automated testing frameworks (e.g., Playwright, Selenium, or similar)
  • Familiarity with AI-generated test suites and agentic QA approaches, with ability to review and govern AI-assisted test coverage
  • Exceptional verbal and written communication skills
  • Prior experience testing enterprise financial, ERP, or data-intensive applications
  • Familiarity with Oracle Integration Cloud (OIC) or API integration testing, validating end-to-end data flow
  • Experience with Azure DevOps test plans or similar enterprise test management tooling
  • ISTQB certification or equivalent formal QA qualification
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The Company
HQ: Washington, DC
61 Employees
Year Founded: 2014

What We Do

WHO WE ARE: Data Society provides industry-tailored, high-quality data science training and advisory services for corporations and government agencies with a desire to make data driven decisions. We believe that modern organizations need to be equipped to make data driven decisions that significantly amplify the effects of existing subject matter expertise. These skills result in increased efficiency and more accurate analyses for research and operations. In order for organizations to become more data driven, they must develop a common data vocabulary across leadership, analysts and generalists. They must also empower their managers and technical staff with appropriate data science skills. Data Society solves both of these needs through customized data science workshops and online learning that help organizations stay competitive and accomplish their missions. OUR VISION: We are passionate about increasing data literacy on a global scale so that organizations and their employees can be smarter about data. We've seen how data analysis can solve problems and provide insights that lead to better business and policy decisions. We are dedicated to giving others the tools to approach problems strategically and building a community in which we answer the question "How can data science change the world?"​. OUR SOLUTIONS: Our expert data scientists and engineers work alongside your teams to make more informed decisions, automate time-consuming manual processes, solve your most complex data challenges, and build data systems to ensure the enduring impact of your work. OUR TRAINING: We teach data science in an intuitive, engaging, and applicable way so that you can apply the methods you learn in class right back in the workplace. We provide training through a combination of in-person, virtual, and online instruction with supplemental coaching and support. We don't just provide data science courses - we create communities of professionals who think about data differently.

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