Manager, Data Quality

Johnson & Johnson

. Lead execution and continuous improvement of the data quality strategy across datasets and critical commercial and enterprise data domains .

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data quality management, including defining standards, metrics, and controls while leveraging AI techniques for data profiling and issue resolution. Proven ability to lead cross-functional teams and drive continuous improvement in data quality across commercial pharmaceutical domains.

Highest-signal resume keywords

Data Quality ManagementPharmaceutical Industry KnowledgeSQL ProficiencyAI-Assisted TechniquesData Governance Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Quality StandardsData ProfilingData ValidationData ReconciliationAutomated Data Quality ChecksETL/ELTData LineageAnomaly DetectionRoot-Cause AnalysisData Metrics Development

Soft Skills

Analytical SkillsProblem-SolvingCommunicationFacilitationStakeholder Management

Tools & Technologies

SnowflakeAWSDatabricksCloud Data EnvironmentsData Quality ToolsMaster Data Management ToolsObservability ToolsAPIsGitRelease Management

Industry Keywords

Commercial Pharmaceutical DataMaster Data ManagementMarket AccessPayer DataSales DataIncentive Compensation DataData GovernanceData CatalogData AnalyticsAI-Enabled Methods

Tech Stack

Tools & technologies

AWSAzureCloudETLSQL

About the role

Key responsibilities & impact

Lead execution and continuous improvement of the data quality strategy across datasets and critical commercial and enterprise data domains
Define and maintain data quality standards, controls, acceptance criteria, and monitoring practices
Establish quality requirements and readiness checks for onboarding new data sources and products
Develop and track data quality metrics, scorecards, service expectations, and improvement plans
Use responsible AI-enabled methods to identify, explain, prioritize, and prevent data quality issues
Lead day-to-day data profiling, validation, reconciliation, exception management, and issue triage across the One Data Platform
Monitor data quality 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 of priority defects
Validate that fixes address root causes without downstream business impact
Improve the quality, consistency, and timeliness of inbound commercial data with internal teams and external providers
Partner with commercial business teams, data product owners, master data management, governance, analytics teams, and external data providers
Provide functional leadership for delivery partners, establish priorities, develop team capabilities, and ensure quality and timeliness of data quality services
Support customer, account, affiliation, sales, prescription, market access, payer, field, targeting, alignment, and incentive compensation data

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, or 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 profiling, anomaly detection, rule generation, matching, classification, root-cause analysis, and issue prioritization
Proficiency using approved AI assistants 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 a comparable modern data platform
Experience with data quality, metadata, catalog, lineage, governance, master data management, or observability tools
Experience reviewing logs, tracing data across pipelines, assessing downstream impact, coordinating technical remediation, and working with Git, testing, release management, and controlled deployment
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, dental, and 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 13 floating holidays, per calendar year
Work, Personal and Family Time – up to 40 hours per calendar year
Parental Leave – 480 hours within one year of 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
Inclusive interview process and disability accommodations