Key Takeaways

  • 75% of U.S. employers use automated applicant tracking systems to screen resumes before a human reviews them (Harvard Business School & Accenture, 2021)
  • The most common ATS failures are missing keywords, incompatible formatting, and incorrect file types
  • ResumeGeni scores your resume across 8 parsing layers — modeled on the same steps enterprise ATS platforms like Workday, Greenhouse, and Taleo use to evaluate candidates

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 score how well that data matches the job requirements. Many ATS rejections happen because the parser couldn't extract critical fields, not because the candidate wasn't qualified.

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 matchingJob-specific terms, skills, certificationsKeyword overlap affects recruiter search visibility and ATS scoring
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 parses get deprioritized in results

Frequently Asked Questions

Is ResumeGeni free?
Yes. ResumeGeni is currently in beta — 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 processed through an 8-layer parsing pipeline that extracts structured data the same way enterprise ATS platforms do. The score reflects how completely and accurately your resume can be parsed, plus how well your content matches common ATS ranking criteria.
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.

ATS Guides & Resources

Built by engineers with 12 years of experience building enterprise hiring technology at ZipRecruiter. Last updated .

Head of PMO

Sunnydata · United States

The Impact You Will Have

  • Delivery Excellence: Establish and enforce best practices, frameworks and methodologies to improve project delivery quality and efficiency.

  • Strategic Alignment: Ensure projects align with account strategy and deliver measurable business outcomes to customers.

  • Portfolio Oversight: Provide oversight of multiple project managers and technical project managers to ensure consistent execution and risk management across engagements.

  • Operational Efficiency: Identify process gaps and implement improvements to optimize resource allocation, timelines and cost efficiency.

Your Responsibilities:

  • Synthesize and align: As a Program Manager and Leader you will translate complex technical discussions into clear decisions and action items, ensuring total alignment between the client and the delivery team.

  • Stakeholder Communication: Ensure transparent reporting and communication of project status, risks, and outcomes to senior management and key stakeholders.

  • Governance & Standards: Drive adoption of tools, templates, and governance frameworks that improve consistency and reduce delivery risk.

  • Bridge the gap: Facilitate seamless collaboration between technical and business stakeholders, ensuring the "what" and "why" are clearly understood by all.

  • Proactive risk management: Identify potential blockers early and partner with technical leadership to architect solutions before they impact the timeline.

  • Instill agile culture: Promote a culture of continuous improvement by implementing lightweight agile frameworks that foster transparency without adding bureaucracy.

  • Innovation Enablement: Collaborate with technical leaders to integrate emerging technologies into delivery approaches.

  • Quality & Value Assurance: Champion measurement of project outcomes against KPIs and business value while ensuring each engagement delivers tangible results.

Required Experience

  • Leadership: Mentor and develop project managers to foster a culture of accountability, collaboration and continuous learning while managing resources

  • Technical Environment: Experience driving delivery within data engineering, software development, or consulting teams.

  • Client-Facing Agility: Practical experience leading Scrum ceremonies and fostering agile habits in a client-service environment.

  • Stakeholder Influence: Strong ability to manage expectations and build trust with both internal technical leads and external client stakeholders.

  • Reporting & Communication: Excellent verbal and written skills with the ability to "translate" between business requirements and technical execution while also providing high-level reports to leadership regarding project statuses.

  • Critical Thinking: A proactive mindset focused on unblocking the team and solving resource or timeline constraints before they become critical.

Preferred Experience

  • 5+ years of experience in a senior level management managing technical project managers & projects specifically within Data Engineering, Analytics, or ML/AI.

  • Strong leadership and decision making skills across multiple geographical locations

  • Exposure to Databricks ecosystem or similar cloud data platforms (AWS, Azure, GCP).

  • Well-versed in technical acumen; you don't need to write code, but you must be able to follow technical discussions and understand architectural trade-offs.

  • Proficiency in project management tools such as Jira, Confluence, Asana, Trello.

  • Comfort with ambiguity and navigate the fast-paced nature of a growing consulting firm.

  • Relevant certifications such as CSM, PSM, or Agile Project Management.

Education

  • Bachelor’s Degree in Business Administration, Management, Computer Science, or related field is preferred.

Benefits

  • Health Insurance : Employees and their eligible family members including spouses, domestic partners, and children are eligible for coverage from the first day of employment.

  • Paid Time Off : Start your career at SunnyData with a minimum of 15 days Paid Time Off annually, plus nine paid company Holidays.

  • An opportunity to grow your technical and people skills, lead teams on complex customer projects that are highly innovative and cutting edge. Great opportunity to grow in your career with the right level of focus, innovation and customer centricity with a high growth consulting company dedicated to Databricks.

Compensation Overview

The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.

Our Commitment to Diversity and Inclusion

At SunnyData, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at SunnyData are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Why Join SunnyData?

  • Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI.

  • Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making.

  • Career Growth: Opportunities for professional development and career advancement.

  • Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.

If you are passionate about data engineering and enjoy engaging with clients to solve their most challenging problems, we would love to hear from you. Apply today and become a key player in SunnyData's success story.