Sarah Cannon Research Institute (SCRI) is one of the world’s leading oncology research organizations conducting community-based clinical trials. Focused on advancing therapies for patients over the last three decades, SCRI is a leader in drug development. In 2022, SCRI formed a joint venture with former US Oncology Research to expand clinical trial access across the country. It has conducted more than 750 first-in-human clinical trials since its inception and contributed to pivotal research that has led to the majority of new cancer therapies approved by the FDA today. SCRI’s research network brings together more than 1,300 physicians who are actively enrolling patients into clinical trials at more than 250 locations in 24 states across the U.S.
Sr Data Integrity Analyst
Location
United States
Posted
4 days ago
Salary
$99.2K - $165K / year
Seniority
Senior
Job Description
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.
Position Summary
The Senior Data Integrity Analyst is a key contributor to ensuring the accuracy, completeness, and reliability of McKesson’s enterprise data, including AI‑generated, automated, and digitized outputs. As a senior individual contributor, this role provides advanced quality assurance and quality control oversight across AI‑enabled digitization workflows.
You will independently validate data against source documents and business rules, identify systemic risks, and deliver insights that improve data quality, trust, and downstream usability. This position also influences data integrity standards, partners with technical and governance teams to address root causes, and plays a critical role in strengthening McKesson’s data quality framework.
Key Responsibilities
Advanced QA/QC & Data Integrity Review
Lead senior‑level QA/QC assessments of AI‑generated, automated, and digitized data outputs.
Independently validate complex data sets against source records, business rules, and established quality standards.
Identify, document, and evaluate data integrity defects, trends, and systemic quality risks.
Issue Investigation & Root‑Cause Analysis
Produce clear, actionable findings and recommendations to address defects and strengthen upstream controls.
Serve as an escalation point for complex, ambiguous, or high‑risk data integrity issues.
Partner with AI, engineering, analytics, and governance teams to diagnose root causes and drive remediation.
Governance, Standards, & Framework Support
Support audit readiness by maintaining validation evidence, traceability, and documentation.
Contribute to the development and calibration of data integrity standards, QA/QC criteria, and validation frameworks.
Evaluate post‑remediation results to verify effectiveness and prevent recurrence.
Collaboration & Leadership
Provide guidance and informal mentorship to analysts performing routine validation activities.
Communicate findings clearly to technical and business stakeholders, influencing decisions without direct authority.
Help elevate data quality practices across teams by advocating for consistency, accuracy, and integrity.
Minimum Requirement
Degree or equivalent and typically requires 7+ years of relevant experience.
Education
Bachelor’s degree in Information Systems, Data Analytics, Computer Science, Business, or a related field, or equivalent experience.
Critical Skills
Typically requires 7+ years of relevant experience in data quality, QA/QC, data validation, audit, or data governance roles.
Demonstrated experience reviewing automated, system‑generated, or AI‑enabled data outputs.
Proven ability to independently investigate and resolve complex data quality issues.
Advanced analytical judgment and ability to synthesize complex datasets into clear, actionable insights.
Strong knowledge of data quality concepts, validation criteria, and QA/QC methodologies.
Exceptional attention to detail and consistency in the application of rules and standards.
Ability to interpret complex business rules, source documentation, and validation logic.
Strong written communication skills for documenting findings and recommendations.
Ability to influence cross‑functional partners and drive alignment without direct authority.
High degree of independence, objectivity, and professional integrity.
Preferred Qualifications
Experience with AI/ML‑enabled tools, OCR, NLP, or large‑scale digitization platforms.
Familiarity with regulated or compliance‑driven environments.
Experience with sampling techniques, root‑cause analysis, and quality risk assessment.
Proficiency with Excel and data analysis tools; comfort working with large and complex datasets.
Exposure to data quality monitoring tools, data catalogs, or metadata management platforms.
Salary: 99,200.00 - 132,300.00 - 165,400.00 USD Annual with 10% MIP
Target comp is approx.~ 125K with 10% MIP
P4
Why Join McKesson?
As a Senior Data Integrity Analyst, you will play a pivotal role in improving the quality and trustworthiness of data that powers mission‑critical healthcare operations. You will influence enterprise standards, collaborate with teams driving AI innovation, and contribute to high‑impact improvements across the data lifecycle. McKesson offers a collaborative, mission‑driven environment where your expertise will shape how data is validated, governed, and trusted.
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.
Our Base Pay Range for this position
$99,200 - $165,400McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.
McKesson job postings are posted on our career site: careers.mckesson.com.
McKesson is an Equal Opportunity Employer
McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
McKesson welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to Disability_Accommodation@McKesson.com.
Join us at McKesson!
Job Requirements
- Bachelor’s degree in Information Systems, Data Analytics, Computer Science, Business, or a related field, or equivalent experience.
- Typically requires 7+ years of relevant experience in data quality, QA/QC, data validation, audit, or data governance roles.
- Demonstrated experience reviewing automated, system‑generated, or AI‑enabled data outputs.
- Proven ability to independently investigate and resolve complex data quality issues.
- Advanced analytical judgment and ability to synthesize complex datasets into clear, actionable insights.
- Strong knowledge of data quality concepts, validation criteria, and QA/QC methodologies.
- Exceptional attention to detail and consistency in the application of rules and standards.
- Ability to interpret complex business rules, source documentation, and validation logic.
- Strong written communication skills for documenting findings and recommendations.
- Ability to influence cross‑functional partners and drive alignment without direct authority.
- High degree of independence, objectivity, and professional integrity.
- Experience with AI/ML‑enabled tools, OCR, NLP, or large‑scale digitization platforms.
- Familiarity with regulated or compliance‑driven environments.
- Experience with sampling techniques, root‑cause analysis, and quality risk assessment.
- Proficiency with Excel and data analysis tools; comfort working with large and complex datasets.
- Exposure to data quality monitoring tools, data catalogs, or metadata management platforms.
Benefits
- Competitive compensation package as part of Total Rewards.
- Base pay range: $99,200 - $165,400.
- Annual bonus or long-term incentive opportunities may be offered.
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