Check Your Resume Before You Apply

Most employers use software (an ATS) to read and rank resumes. See your score and fix it. Free, no signup to check.

Realty Income
Senior Director, Finance Data Strategy
Finance Operations

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How it works

Key Takeaways

  • Automated hiring systems can screen or route resumes before human review; ResumeGeni treats ATS scoring as parser-readiness triage, not a hiring prediction (Harvard Business School & Accenture).
  • The most common ATS-readiness problems are missing keywords, incompatible formatting, incomplete fields, and incorrect file types
  • ResumeGeni scores parseability, structure, contact fields, content completeness, skills, and keyword signals, then explains the evidence behind the score

How ATS Resume Scoring Works

Applicant tracking systems parse your resume into structured data — extracting your name, contact info, work history, skills, and education — then use that data in search, review, and matching workflows. Parsing gaps can make a qualified candidate harder to evaluate.

LayerWhat It ChecksWhy It Matters
Document extractionFile format, encoding, readabilityCorrupted or image-only PDFs fail immediately
Layout analysisTables, columns, headers, footersMulti-column layouts break field extraction
Section detectionExperience, education, skills headingsNon-standard headings cause sections to be missed
Field mappingName, email, phone, dates, titlesMissing contact info is a common cause of immediate rejection
Keyword signalsJob-specific terms, skills, certificationsKeyword overlap can affect recruiter search visibility and resume-review workflows
Chronology checkDate ordering, gap detectionReverse-chronological order is expected by most ATS
QuantificationMetrics, numbers, measurable outcomesQuantified achievements help human reviewers and some scoring models
Confidence scoringOverall parse quality and completenessLow-confidence extraction means important fields may need manual review

What ResumeGeni Checks Before Keyword Matching

Keyword matching only helps after the resume can be read cleanly. ResumeGeni starts with parser-readiness signals before it evaluates wording, skills, and role fit.

  • Readable text: whether the uploaded file exposes selectable text instead of only a scanned image.
  • Standard resume structure: whether contact, summary, work experience, education, and skills sections are easy to identify.
  • Field extraction: whether names, email addresses, phone numbers, employers, titles, dates, degrees, and skills can be mapped into stable fields.
  • Format risk: whether tables, columns, text boxes, decorative icons, headers, footers, or unusual bullets could interrupt parsing.
  • Evidence quality: whether experience bullets include scope, tools, metrics, and outcomes rather than generic duty lists.
  • Keyword coverage: whether relevant tools, certifications, industry terms, and role-specific phrases appear naturally in the resume.

What Your ATS Score Means

The score is a diagnostic signal, not a hiring guarantee. A high score means ResumeGeni can extract and evaluate the resume with fewer warnings. A low score means the resume likely needs structural fixes before keyword tuning matters.

Score RangeReadBest Next Action
90-100Strong parser readiness with few visible gapsTailor keywords and achievements to the target role
75-89Generally readable, but some sections or evidence may be weakFix warnings, add measurable achievements, and tighten skills
60-74Important content may be missing, vague, or hard to mapRepair structure before rewriting bullets
Below 60Parsing or completeness issues are likely holding the resume backMove to a cleaner format and rebuild core sections first

What To Fix First

Start with problems that prevent a system or recruiter from reading the resume. Save small wording changes for after the structure is clean.

PriorityFixReason
1Use a text-based PDF, DOCX, or plain text resumeImage-only files and corrupted exports cannot be reliably parsed
2Use one column and standard headingsPredictable structure improves section and field detection
3Put contact information in the body, not only the headerSome parsers ignore header and footer regions
4Replace vague duties with quantified achievementsSpecific outcomes help both recruiter review and scoring evidence
5Mirror role language truthfullyRelevant keywords help search and review without keyword stuffing

How To Use the Score Without Overfitting

The best use of an ATS score is triage. Fix problems that make the resume hard to parse or hard to evaluate, then stop when the document is clear. Do not chase a perfect score by adding keywords you cannot defend in an interview or by turning every bullet into a list of tools.

Checker signalGood correctionCorrection to avoid
Low parse confidenceMove to a single-column layout, standard headings, and selectable text.Adding more keywords before the resume can be read cleanly.
Weak evidence bulletsRewrite duties into scope, action, tool, and measurable outcome.Inflating impact numbers or copying sample bullets that do not match your work.
Missing role termsAdd truthful tools, certifications, patient loads, stack details, or workflows from your experience.Keyword stuffing a skills section with technologies you have not used.
Thin company fitCompare the resume with the target role and company application guide before applying.Submitting the same generic version to every employer.

Methodology And Limits

ResumeGeni checks format, extraction, content completeness, and keyword signals from the uploaded resume. It does not certify that every employer ATS will parse the file the same way, and it does not predict whether a recruiter will interview you.

For the scoring rubric, privacy notes, and limitations, read the ATS Resume Checker Methodology. For the broader source map behind ResumeGeni guidance, use the research hub and dated research data dashboard. For application context, use the exact company application guide or role guide that matches the job.

What the Checker Can Diagnose

Treat the ATS resume checker as a document-readiness diagnostic, not a hiring prediction. A useful check should tell you whether the resume text can be extracted, whether the major sections are recognizable, whether contact fields are present, whether bullets contain evidence, and whether role language appears naturally enough for a reviewer to understand the match.

Diagnostic areaWhat ResumeGeni looks forBest correction
Text extractionSelectable text, readable file structure, and parser confidence.Use a text-based PDF, DOCX, or pasted text version before changing wording.
Section recognitionStandard headings for contact, summary, experience, education, skills, projects, and certifications.Rename creative headings to conventional resume sections and keep content in the document body.
Evidence qualityBullets with scope, action, tools, and measurable outcomes rather than generic duties.Rewrite the most recent role first, then work backward through older experience.
Role alignmentTruthful keywords, credentials, systems, technologies, and responsibilities that match the target role.Compare the resume with a role guide and a real posting before adding or removing terms.

Pair the Score With a Role Guide

An ATS score is the starting point. After the resume is readable, compare it with the role you are targeting so your skills, bullets, and keywords match the actual posting without keyword stuffing.

Resume pathUse this guide when the checker flagsBest next page
ClinicalMissing license, certification, patient-load, unit, EHR, or care-outcome evidenceRN resume guide
TechnicalThin stack detail, unclear shipped features, missing testing, deployment, or performance evidenceFull-stack developer resume guide or Android developer resume guide
PortfolioCase studies, client scope, shipped work, project outcomes, or collaboration signals are too vagueProduct designer resume guide or Freelancer resume guide
People operationsHRIS, compliance, hiring, retention, employee-relations, or policy examples are missingHuman resources manager resume guide

Where This Checker Fits in the Application Path

Use the checker as a diagnostic gate between drafting and applying. It is strongest when the next action is specific: fix parsing risks, rewrite vague bullets, add missing role evidence, or compare the resume against a real posting. It is weaker when treated as a hiring predictor or a substitute for role judgment.

Signal from the checkerBest next pageReason
Formatting or parsing warningsATS compatibility methodologyReview the scoring categories and limits before changing the file structure.
Weak or generic experience bulletsResume guides by job titleFind role-specific examples and replace duties with evidence, scope, and outcomes.
Missing tools, systems, or certificationsSkills guides by job titleCheck which skills belong in the resume and which should appear only when truthful.
Company-specific application concernsCompany application guidesCompare employer context, ATS signals, and open-role language before final tailoring.

Sources Used For This Checker

ResumeGeni's checker combines product analysis with public resume-writing, occupational, and structured-data references. These sources inform parser-readiness guidance; they do not certify that any employer or ATS vendor will score a resume the same way.

Frequently Asked Questions

Is ResumeGeni free?
Yes. ATS analysis, scoring, and initial improvement suggestions are free with no signup required. Full guidance and saved reports may require a free account.
What file formats are supported?
PDF, DOCX, DOC, TXT, RTF, ODT, and Apple Pages. PDF and DOCX are recommended for best ATS compatibility.
How is the ATS score calculated?
Your resume is parsed into structured fields such as contact information, experience, education, and skills. The score reflects how cleanly ResumeGeni can extract those fields plus format, content, and keyword signals.
Can ATS read PDF resumes?
Yes, but not all PDFs are equal. Text-based PDFs parse well. Image-only PDFs (scanned documents) and PDFs with complex tables or multi-column layouts often fail ATS parsing. Our analyzer will flag these issues.
How do I improve my ATS score?
Focus on three areas: use a clean single-column format, include keywords from the job description naturally in your experience bullets, and ensure all sections (contact, experience, education, skills) use standard headings.

Preferred ATS Checker Resource Spine

Built by ResumeGeni. Methodology, sources, and limitations are documented above. Last updated .

Senior Director, Finance Data Strategy

Realty Income · Finance Operations

Realty Income aims to be a globally recognized leader in the S&P 100, committed to creating long-term value for all stakeholders. These stakeholders include our dedicated team members, who embody our purpose: building enduring relationships and brighter financial futures. This guiding principle serves as a beacon for our team, influencing every action we take.

Our employees consistently invest their time, commitment, and dedication into the company, and in turn, they receive investment returns in the form of purpose, belonging, and opportunities for advancement. 

We are committed to best-in-class corporate responsibility practices through environmental initiatives, governance programs, and community outreach projects. From the boardroom to the breakroom, our team members make a difference every day. 

We are looking for an experienced Senior Director of Finance Data Strategy who will be responsible for defining and executing the finance data strategy and multi-year roadmap, serving as the business owner for finance data, analytics, and governance. This highly strategic role leads the design and adoption of governed finance data products and scalable data foundations that support accurate public-company reporting, audit and SOX controls, automated dashboards, and advanced analytics/AI readiness. This position will partner closely with Finance, Internal Audit, and Technology to translate business requirements into trusted data solutions, manage a prioritized portfolio of initiatives, and drive change management to ensure consistent delivery and organization-wide adoption.

The Senior Director, Finance Data Strategy is specifically responsible for:

Finance Data Strategy & Leadership

  • Define, execute, and continuously evolve the Finance Data Strategy in alignment with Finance objectives, SOX requirements, and enterprise priorities.
  • Serve as the senior Finance leader accountable for Finance data architecture, data governance, and data product outcomes.
  • Partner with the SVP, Finance Operations to develop and maintain a multi‑year Finance data and analytics roadmap.
  • Act as a strategic advisor to Finance leadership on data, analytics, automation, and AI enablement.
  • Own the Finance data initiative portfolio, including intake, prioritization, sequencing, and alignment to Finance priorities.

Finance Data Lakehouse & Data Products

  • Lead the business design, governance, and adoption of governed Finance Data Products (GL, Close, AR/AP, Cash, Property, Tenant, Tax, Consolidation).
  • Serve as a key liaison with Corporate Finance and RIIM to enable Investor Relations dashboards and analytics, including the development and management of historical and real‑time KPI dashboards such as WACC metrics, Budget‑vs‑Actual (BvA) variance analysis, and fund‑level and portfolio‑level performance analytics used in executive and investor reporting.
  • Define Finance data models, canonical definitions, hierarchies, and certification standards.
  • Translate Finance and Accounting requirements into clear data and reporting specifications.
  • Ensure Finance data assets support both management and external reporting needs.
  • Own the full lifecycle of Finance Data Products, including design, delivery, adoption, and ongoing improvement.

Data Governance, Quality & Controls

  • Partner with Technology on Finance data governance frameworks including ownership, stewardship, quality, lineage, and access controls.
  • Design and implement Data Quality Indicators (DQIs) as operational controls.
  • Ensure Finance data meets audit, regulatory, and public‑company compliance requirements.
  • Partner with Internal Audit and Accounting to ensure control effectiveness.
  • Proactively identify and assess Finance data risks, including data quality, access, and reporting risks.

Analytics, Reporting & AI Enablement

  • Define and track KPIs related to Finance analytics adoption, automation benefits, and reporting efficiency.
  • Drive the transition to automated reporting and dashboards.
  • Champion AI‑ready data foundations for future analytics and automation use cases.

CrossFunctional Collaboration & Change Management

  • Serve as the primary Finance liaison to Technology and Data Engineering teams.
  • Partner across Finance to ensure data solutions meet business needs.
  • Lead comprehensive change adoption strategies for new Finance data platforms, standards, and reporting solutions.
  • Serve as escalation point for cross-functional alignment challenges related to Finance data initiatives.
  • Mentor and develop Finance team members engaged in data initiatives.

Skills you will need to be successful:

  • Proven senior‑level leadership experience driving Finance data, analytics, or transformation initiatives within complex, regulated organizations.
  • Strong ability to translate Finance and data strategy into executable roadmaps and outcomes across matrixed Finance, Technology, and Analytics teams.
  • Effective executive communicator with the ability to clearly articulate Finance data strategy, risks, and progress to senior Finance leadership and key stakeholders.
  • Demonstrated success leading change, influencing cross‑functional partners, and driving adoption of new data platforms, standards, and ways of working.
  • Finance Domain Expertise: Deep understanding of Finance and Accounting processes, including general ledger, subledgers, financial reporting, and period‑end close within a real estate or public‑company environment.
  • Finance Data Strategy & Analytics: Strong understanding of modern Finance data platforms, data governance, analytics, and data‑driven operating models, with the ability to apply them pragmatically to Finance use cases.
  • SOX & Controls: Solid experience working within SOX‑regulated environments, including internal controls, audit requirements, and control‑aware data and reporting design.
  • Technology & Architecture Literacy: Working knowledge of ERP systems (Yardi preferred), cloud data platforms, data warehousing, ETL/ELT concepts, BI tools (e.g., Power BI), and emerging analytics and AI concepts as applied to Finance.
  • Business Acumen: Ability to align Finance data strategy, analytics, and governance with enterprise objectives, risk posture, and reporting requirements.
  • Executive Communication & Influence: Ability to communicate complex Finance, data, and analytics topics clearly and credibly to Finance leadership and cross‑functional stakeholders.
  • Strategic & Critical Thinking: Demonstrated ability to synthesize Finance, operational, and data insights into practical strategies and solutions that improve decision‑making and operational effectiveness.
  • Relationship Building & Stakeholder Management: Proven capability to build trusted partnerships across Finance, Technology, Internal Audit, and Operations to enable alignment and execution.
  • Leadership & Collaboration: Demonstrated ability to mentor team members, foster collaboration across functions, and operate effectively in matrixed environments.
  • Judgment & Problem Solving: Sound judgment with a practical, risk‑aware mindset when addressing complex, ambiguous, or regulated challenges.
  • Ethical Integrity: Strong commitment to ethical standards, confidentiality, and compliance expectations within a public‑company environment.
  • Program & Change Leadership: Ability to manage multiple, interrelated initiatives while balancing delivery discipline, governance rigor, and stakeholder engagement.
  • Resilience & Adaptability: Comfortable leading through change, managing competing priorities, and operating effectively in evolving environments.
  • Microsoft & Productivity Platforms: Advanced proficiency in Microsoft 365 tools, including Excel (advanced modeling), PowerPoint, Teams, and SharePoint to support analysis, communication, and enablement.
  • ERP & Core Finance Systems: Strong working knowledge of ERP systems and Finance source systems (Yardi preferred); experience partnering with system owners and administrators.
  • Analytics, Automation & Data Enablement: Familiarity with analytics and visualization platforms (e.g., Power BI) and an understanding of how automation and data‑driven workflows can improve Finance processes.
  • Data Architecture Literacy: Understanding of cloud platforms, data warehousing, ETL/ELT processes, and modern data architecture (including Lakehouse concepts) sufficient to provide business direction and governance oversight.
  • Controls & Development Practices: Familiarity with data access controls, auditability, change management, and delivery practices (e.g., Agile), with an emphasis on SOX compliance and data integrity.

Qualified candidates are expected to have:

  • Bachelor’s degree in accounting, finance, economics, technology or a related field.
  • 10+ years of progressive experience in finance and technology.
  • Public company experience
  • Strong background in finance data, reporting, governance, and controls.
  • Available for occasional business travel

Additional preferred qualifications:

  • Master’s degree
  • REIT experience
  • Professional certifications such as CPA, CMA
  • Data and analytics certifications

This position is based in our San Diego (Del Mar Heights) headquarters.  Monday through Friday are in-office for collaboration.  

The pay range for this role is $139,161 - $188,326 - $228,126

#LI-HC1

Offers near the high end are uncommon but may be considered for candidates with exceptional experience and skills and are dependent on the facts and circumstances of each case. You may be eligible for an annual discretionary bonus and an annual discretionary stock award, to be discussed during the interview process. An annual pay rate and total compensation package is generally determined by the candidate's experience, knowledge, education, skills, performance, and abilities, as well as internal equity, company performance, and alignment with market data.
 
We offer a best-in-class benefits package that includes healthcare, dental, and vision insurance for employees and eligible dependents. Our 401(k)-retirement plan has a company match of 50% up to 6% of eligible compensation. Realty Income also offers other wellness, financial, and work/lifestyle-specific benefits, along with a generous PTO accrual; in addition to 12 paid holidays, and paid volunteer time. Realty Income’s purpose is to build enduring relationships and brighter financial futures, and this starts with you!

This role is subject to enhanced compliance and disclosure requirements comparable with those of a regulated financial services organization, including conflict of interest disclosures and personal trading policies.

Realty Income is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require accessibility support to submit your application or other reasonable accommodations to participate in the recruitment process, please contact [email protected], or call 800-375-6700. An employee will respond to your message to begin the interactive process. Please note that this phone number and email address are only for individuals seeking a disability accommodation when applying for a job.