Manager, Data Quality

Johnson & Johnson

. Lead execution and continuous improvement of the data quality strategy across datasets .

Posted 10/23/2026full-timeUnited StatesMid-LevelSenior💰 $117,000 - $201,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data quality management, including the establishment of standards, metrics, and improvement plans. Proficient in leveraging AI and analytics to enhance data readiness and support decision-making in the pharmaceutical industry.

Highest-signal resume keywords

Data Quality ManagementPharmaceutical Industry KnowledgeSQL ProficiencyData Profiling and ValidationAI-Assisted Techniques

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Quality StandardsData Quality MetricsData GovernanceETL/ELT ProcessesAutomated Data Quality ChecksRoot-Cause AnalysisData LineageData ProfilingAnomaly DetectionScripting Ability

Soft Skills

Analytical SkillsProblem-SolvingCommunication SkillsStakeholder ManagementFacilitation Skills

Tools & Technologies

SnowflakeAWSDatabricksAzureData Quality ToolsMetadata ToolsMaster Data Management ToolsObservability ToolsAnalytics PlatformsAI Assistants

Industry Keywords

Commercial Pharma Business ProcessesPharmaceutical DataMarket AccessPayer DataSales DataField ActivityIncentive CompensationData ManagementData EngineeringData Products

Tech Stack

Tools & technologies

AWSAzureCloudETLSQL

About the role

Key responsibilities & impact

Lead execution and continuous improvement of the data quality strategy across datasets
Prioritize critical commercial and enterprise data domains based on business impact and risk
Define and maintain data quality standards, controls, acceptance criteria, and monitoring practices
Establish quality requirements and readiness checks for new data sources and products
Develop and track data quality metrics, scorecards, service expectations, and improvement plans
Improve data readiness for business reporting, analytics, artificial intelligence, and decision-making
Explore responsible AI-enabled methods to identify, explain, prioritize, and prevent data quality issues
Lead daily data profiling, validation, reconciliation, exception management, and issue triage across the One Data Platform
Monitor dashboards and identify trends, recurring defects, and operational risks
Coordinate root-cause analysis with data engineering, source-system teams, data providers, and business owners
Drive corrective and preventive actions, track issue ownership, and ensure timely remediation
Validate that fixes address underlying causes without downstream business impact
Partner with internal teams and external data providers to improve inbound commercial data quality, consistency, and timeliness
Support data relating to customers, accounts, affiliations, sales, prescriptions, market access, payers, field activity, targeting, alignment, and incentive compensation
Provide functional leadership for delivery partners, establish priorities, develop team capabilities, and ensure quality and timeliness of data quality services
Partner with commercial business teams, data product owners, master data management, data governance, and analytics teams

Requirements

What you’ll need

Bachelor's degree in information systems, data analytics, computer science, engineering, business, life sciences, or related field
5+ years of progressive experience in data quality or data management
Strong knowledge of the pharmaceutical industry and commercial pharma business processes
Practical knowledge of commercial pharmaceutical data, including professional and account master data, affiliations, sales, claims, market access, payer, field activity, targeting, alignment, and incentive compensation
Experience defining data quality rules and applying accuracy, completeness, consistency, timeliness, validity, and uniqueness dimensions
Experience supporting enterprise data platforms, cloud data environments, analytics platforms, or governed data products
Strong analytical, problem-solving, communication, facilitation, and stakeholder-management skills
Experience leading cross-functional initiatives, setting priorities, influencing senior stakeholders, and coaching team members or delivery partners
Experience supporting data used for AI, machine learning, advanced analytics, or semantic data products
Experience applying AI-assisted techniques for data profiling, anomaly detection, rule generation, matching, classification, root-cause analysis, and issue prioritization
Proficiency using approved AI assistants for analysis, SQL creation, documentation, and issue investigation while protecting confidential pharmaceutical data
Strong hands-on SQL or scripting ability
Experience designing and implementing automated data quality checks
Working knowledge of ETL/ELT, source-to-target mappings, data lineage, APIs, file-based ingestion, and pipeline monitoring
Hands-on experience with Snowflake, AWS, or comparable modern data platform
Experience using data quality, metadata, catalog, lineage, governance, master data management, or observability tools
Experience with production troubleshooting, Git, testing, release management, and controlled deployment of data-quality rules
Preferred: Experience in J&J Innovative Medicine or a comparable global pharmaceutical organization
Preferred: Experience with Snowflake, Databricks, AWS, Azure, or similar cloud platforms
Preferred: Experience managing service partners, data vendors, or distributed delivery teams

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Life insurance
Short- and long-term disability insurance
Business accident insurance
Group legal insurance
Pension plan
401(k) savings plan
Long-term incentive program
Vacation – 120 hours per calendar year
Sick time – 40 hours per calendar year
Holiday pay, including Floating Holidays – 13 days per calendar year
Work, Personal and Family Time – up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Condolence Leave – 30 days for an immediate family member; 5 days for an extended family member
Caregiver Leave – 10 days
Volunteer Leave – 4 days
Military Spouse Time-Off – 80 hours