Data Quality and Governance ATS Resume Template

Use this resource

Use this model to turn verified data quality and governance work into a clear, searchable resume. It is an evidence-derived structure for adaptation, not a claim that every employer wants the same tools or that you have performed the example work. Replace every instructional line with your own truthful details. If you have not done an activity, omit it or describe an accurately labelled training project instead of borrowing a claim from the example.

An applicant tracking system (ATS) is software an employer may use to receive and organize applications. Here, ATS-friendly means a simple reading order, familiar headings and truthful text that people and software can read; it does not guarantee selection.

The structure reflects recurring duties in MTF Institute's U.S. vacancy study: ownership and stewardship, quality rules, metadata and lineage, issue resolution, scorecards, master data and governance routines. The separate current-changes review explains recent changes in tools and workflows. Use the job description you are actually applying to as the final guide to relevance; neither research source proves that a particular employer requires every item below.

Make the document easy to read and parse

• Use one main column with familiar headings such as Professional Profile, Skills, Experience, Projects and Education. Put contact details in the document body, not in a page header or image.
• Keep the reading order simple. Plain text, ordinary headings and standard bullets travel more reliably across different applicant systems than text boxes, icons, multi-column layouts or graphics. Export to the file type requested by the employer and inspect the resulting text before submission.
• Match the job's terminology when it truthfully describes your work. For example, use “data quality rules” if you have defined or operated rules; use “data lineage” only if you have actually documented or inspected data flow.
• Spell out a term before using an acronym when it may be unfamiliar. For example, “critical data elements (CDEs)” is clearer on first use than “CDEs” alone.
• Use a concise action, the data or process you worked on, the method, and a verifiable result. A result may be a completed work product or a documented decision; a percentage is useful only when you know its baseline, denominator and time period.
• Do not include confidential source data, client names without permission, protected records, hidden keyword text, invented certifications, or unsupported claims about compliance or authority.

Blank resume structure

Copy the following section into a simple document. Every line after a label is an instruction to replace, not text to submit unchanged.

Contact

Full name: Use your professional name.
Location: City and state or the location format requested by the employer.
Phone: A number you can answer.
Email: A professional address you control.
Professional link: Add a relevant portfolio or profile only if it is current and appropriate to share.

Professional profile

Write two or three lines naming your actual role level, the kind of data you have worked with, and the operational problems you can handle. Where true, connect quality testing, business definitions, issue follow-up and stakeholder decisions. Do not call yourself a data owner, approval authority or manager unless that was your role.

Relevant skills

Select only skills you can discuss with evidence. Group related terms so a reader can scan them:

• Data quality: profiling, completeness, validity, consistency, uniqueness, timeliness, test rules, thresholds, monitoring, reconciliation, scorecards.
• Governance operations: data-owner and steward coordination, critical data elements, standards, decision records, issue intake, remediation follow-up, certification review.
• Metadata and lineage: business glossary, data dictionary, catalog entries, source-to-target mapping, lineage review, impact analysis, metadata change control.
• Data domains: master and reference data, customer or product records, reporting datasets, or another domain you genuinely know.

Tools

List only tools you have used and can explain in relation to a real task: a query language, spreadsheet, catalog, BI dashboard, issue tracker or master-data platform. A brand name is optional unless the vacancy specifically asks for it and you have that experience. State the function you performed rather than implying full administration of a platform you only viewed.

Professional experience

For each real position, provide employer, role title, location and month/year dates in a consistent order. Under each position, write three to five bullets that you can defend with a work sample, supervisor reference or clear explanation. Select patterns that fit your actual responsibility:

• Defined or maintained a quality rule for a named data use; state the field or process, test scope, review frequency and how exceptions were handled.
• Profiled or reconciled authorized records; state the method, the issue found and the resulting correction or decision.
• Maintained a glossary, catalog entry or lineage map; state which users relied on it and how you checked that definitions or links were current.
• Logged and triaged a data issue; state the impact evidence, owner handoff, remediation action and retest, without exposing sensitive records.
• Produced a scorecard or governance review; state the audience, quality measures, decisions recorded and follow-up, if these were genuinely part of your work.

Use quantities only when you can reconstruct them from approved records. If a percentage is not available, describe a concrete output: “documented approved definitions for the reporting team” is better than an invented improvement rate.

Selected project

Include a relevant project if it adds evidence beyond job titles. Label it training project, independent project or professional project accurately. Name the data source as synthetic, public or authorized, identify your own contribution, and point to a shareable output only if you have permission. A project can demonstrate a rule register, a compact scorecard, a glossary entry, a lineage sketch or an issue-resolution log without implying production access.

Education and credentials

List the institution, degree or qualification and completion date only when true. Add relevant training or credentials with their correct issuing body and status. If a credential is in progress, say so only if the programme permits that wording. Do not imply that course completion is a professional licence, academic degree or vendor certification.

Tailoring checklist

• Confirm the employer, title, dates, tools, education and credentials on your resume are your own and are accurately stated.
• Read the target vacancy. Highlight duties and terms that match your real work; use its wording where truthful, without pasting long phrases or inserting unrelated keywords.
• Put your strongest relevant evidence near the top. For an analyst role, prioritize rules, profiling, issue handling and documented handoffs; for a steward role, prioritize definitions, ownership coordination and record lifecycle work; for a management role, show actual decision rights and team or programme responsibility.
• Test each bullet by asking: What did I do, to which data or process, with which method, under whose authority, and what evidence shows the result?
• Remove confidential details. Generalize client or system names when necessary and share only authorized portfolio material.
• Read the exported file as plain text. Check that contact details, dates, section headings and bullets appear in the intended order and that no instruction from this template remains.
• Check spelling, consistent date format, active links and the file type requested by the employer.