Manager, Data Quality

Johnson & Johnson Innovative Medicine•Horsham, PA

5d•$117,000 - $201,250

About The Position

The Manager, Data Quality is accountable for improving the integrity of data across the One Data Platform (ODP). The role leads data quality operations, business-rule validation, data profiling, monitoring, and issue remediation to ensure enterprise data products are accurate, complete, consistent, timely, and fit for use in reporting, analytics, artificial intelligence, and business decision-making. The manager provides functional leadership for delivery partners, sets priorities, develops team capabilities, and is accountable for the quality and timeliness of data quality services across ODP. The manager partners with commercial business teams, data product owners, master data management, data governance, analytics teams, and external data providers to establish ownership, embed preventive controls, resolve recurring issues, and improve platform trust and adoption across J&J Innovative Medicine. Responsibilities span data quality strategy and execution, operational profiling and validation, issue triage and remediation, and collaboration with teams supporting commercial data.

Requirements

Bachelor's degree in information systems, data analytics, computer science, engineering, business, life sciences, or a related field.
At least 5 years of progressive experience in data quality or data management, including hands-on responsibility for defining controls, monitoring data health, and leading issue remediation in an enterprise data environment.
Strong knowledge of the pharmaceutical industry and commercial pharma business processes, including how commercial data supports customer engagement, field execution, reporting, analytics, and decision-making.
Hands-on knowledge of several types of commercial pharmaceutical data, such as 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 core dimensions such as accuracy, completeness, consistency, timeliness, validity, and uniqueness.
Experience supporting enterprise data platforms, cloud data environments, analytics platforms, or governed data products.
Strong analytical, problem-solving, communication, facilitation, and stakeholder-management skills.
Demonstrated 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 to accelerate analysis, SQL creation, documentation, and issue investigation while protecting confidential pharmaceutical data.
Strong hands-on ability with SQL or a scripting language to profile large datasets, validate business rules, reconcile data across sources, investigate anomalies, and support root-cause analysis.
Experience designing and implementing automated data quality checks for accuracy, completeness, consistency, timeliness, validity, and uniqueness.
Working knowledge of ETL/ELT processes, 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 using 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 of data-quality rules.

Nice To Haves

Experience in J&J Innovative Medicine or a comparable global pharmaceutical organization, including familiarity with regulated data practices and cross-functional commercial operating models.
Experience with Snowflake, Databricks, AWS, Azure, or similar modern cloud data platforms.
Experience managing service partners, data vendors, or distributed delivery teams.

Responsibilities

Lead execution and continuous improvement of the data quality strategy across datasets, prioritizing 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 onboarding new data sources and data products.
Develop and track data quality metrics, scorecards, service expectations, and improvement plans.
Help make data business-ready and AI-ready through consistent, measurable quality controls.
Explore responsible use of 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 ODP.
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 underlying causes and do not create downstream business impact.
Work with internal teams and external data providers to improve the quality, consistency, and timeliness of inbound commercial data.
Partner with business teams supporting customer, account, affiliation, sales, prescription, market access, payer, field, targeting, alignment, and incentive compensation data.
Provide functional leadership for delivery partners, establish priorities, and develop team capabilities.

Benefits

Medical, dental, and vision insurance.
Life insurance, short- and long-term disability insurance, business accident insurance, and group legal insurance.
Participation in the company's consolidated retirement plan (pension) and savings plan (401(k)), subject to plan terms.
Eligibility to participate in the company's long-term incentive program.
Vacation: 120 hours per calendar year, subject to applicable policies and date of hire.
Sick time: 40 hours per calendar year; 56 hours per calendar year for employees residing in Washington.
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 a child's birth, adoption, or foster care placement.
Condolence leave: 30 days for an immediate family member and 5 days for an extended family member.
Caregiver leave: 10 days.
Volunteer leave: 4 days.
Military spouse time off: 80 hours.