*Please include the following at the top of each candidate resume - Resumes without completed templates and/or vetting questions will not be considered. Responses to vetting questions are to be provided directly from the candidates. *
MSP Owner: Ashley Parker
Location: On-site in McLean or Plano full-time
Assignment Type: Contract Only
Scheduled End: Jan 31, 2027
Work Authorization: This requirement is open to sponsored candidates through sub-vendors - one layer deep. The candidates must be W2 employees of the sub vendor.
Bill Rate: ***|***MAX
Conversion Salary Range (if applicable): N/A
Must Have Qualifications: Must have experience setting up testing and automation. Heavy experience with data modeling and a strong understanding of logical data modeling. Advanced Excel skills using complex worksheets. Hands on development with Java or Python, automation testing, AI/ML fluency, and SQL. Nice to have: Industry knowledge and data used in the mortgage industry.
Schedule: Standard
Shortlisting Deadline:06/22
Interview Information:
Rounds: 1 round
Duration: 60 minutes
Interview Type: MS Teams - Video Mandatory
Interview Placeholders: 06/25 at 11:00AM and 4:00PM; 06/26 at 1:00PM and 2:00PM
Interview Debrief:06/26 at 1:00PM no suppliers
Supplier Vetting Questions: N/A
*** is seeking an experienced contractor to support an enterprise data modeling transformation initiative. The contractor will perform an independent review of the current process and technology ecosystem supporting data modeling, execute structured manual testing of critical workflows, and develop a practical, phased plan to automate testing and quality gates. This role will partner with data modelers, data engineers, platform teams, and data governance stakeholders to improve quality, consistency, and release readiness of data modeling artifacts and related metadata.
" Can understand business requirements
" Write and execute test cases manually or using automation
" Analyze results of tests, defects tracking and management, report status and recommendations for modifications to test plan and/or schedule.
" Familiar with agile methodology
" Experience with: -All phases of testing-system testing, SIT and UAT -Hewlett Packard s ALM (Quality Center) version 11.0 testing tools -Microsoft Visio -Microsoft Office (Word, Excel, PowerPoint) -SQL
Key Responsibilities
Process & Technology Review - Assess end-to-end data modeling lifecycle processes (intake, design, review/approval, governance, versioning, publication, change management, and release). - Evaluate tooling and integrations (data modeling tools, metadata/catalog, version control, CI/CD, ticketing/work management). - Identify gaps, risks, bottlenecks, and control weaknesses; document findings and prioritized recommendations. - Review alignment to enterprise standards (naming conventions, modeling patterns, domain boundaries, stewardship, metadata/lineage expectations).
Manual Testing - Create and execute manual test plans and test cases for key workflows, including: - Model creation/updates (conceptual/logical/physical as applicable) - Standards validation (naming, datatypes, keys, relationships, referential integrity) - Model-to-DDL generation and deployment readiness checks - Versioning/branching/merging and promotion processes - Metadata publishing and verification (catalog/glossary/lineage where applicable) - Security and role-based access controls within tools - Document test evidence, defects, and remediation recommendations; support triage and retesting.
Test Strategy & Automation Roadmap - Define a fit-for-purpose testing strategy for data modeling transformation outcomes (quality, governance, velocity, auditability). - Identify automation candidates and define what should be automated vs. remain manual. - Recommend an automation approach and integration points, potentially including: - Automated standards checks (rule-based validation / linting) - Model diffing and regression checks across versions - CI/CD quality gates for model changes (PR checks, approvals, artifact packaging) - Automated verification of model-to-implementation consistency (where feasible) - Automated metadata publishing completeness checks - Deliver a phased roadmap with dependencies, effort estimates, and measurable success criteria; optionally deliver a proof of concept if in scope.
Required Qualifications
Preferred Qualifications
Key Competencies
Deliverables (Expected Outputs)
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EEO
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.