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Manager, Data Quality

Titusville, New Jersey, United States of America

Live, first seen by us 60 days ago
Pay
Multiple pay amounts — pay source
The anticipated base pay range for this position is : The anticipated base pay range for this position is $117,000 and $201,250 USD. Additional Description for Pay Transparency:
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Employer’s visa record
1 H-1B petition approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.

What you’ll work on

Full posting
  • Set and maintain data quality standards, controls, and monitoring practices

  • Run day-to-day data profiling, validation, reconciliation, and issue triage

  • Coordinate root-cause analysis with engineering, source teams, and data providers

  • Drive corrective actions and track timely remediation of priority defects

  • Develop and track data quality metrics, scorecards, and improvement plans

From the employer’s posting
Define and maintain data quality standards, controls, acceptance criteria, and monitoring practices.
Lead day-to-day data profiling, validation, reconciliation, exception management, and issue triage across ODP.
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.
Develop and track data quality metrics, scorecards, service expectations, and improvement plans.

What you’ll bring

All qualifications

Core experience

  • SQL or scripting language: Strong hands-on ability to profile large datasets, validate business rules, reconcile data across sources, investigate anomalies, and support root-cause analysis.
  • 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.
Qualification wording
SQL or scripting language: Strong hands-on ability to profile large datasets, validate business rules, reconcile data across sources, investigate anomalies, and support root-cause analysis.
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.
Education & alternatives
Required - 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, including hands-on responsibility for defining controls, monitoring data health, and leading issue remediation in an enterprise data environment.

About Johnson & Johnson

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements.

In the employer’s words · Read in context

Apply at Johnson & Johnson

Posting record

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Status in our records
Live
First seen by us
Sep 14, 202660 days ago
Recorded sightings
49
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$105K–$170K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 113 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 60

Up longer than most. Similar jobs usually come down between day 6 and day 52.

Well past Johnson & Johnson’s usual: its jobs come down by about day 12.

From 1,786 similar postings that came down, and 458 of Johnson & Johnson’s. Coming down is not always a hire.

Johnson & Johnson is hiring

47 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down quickly
  • 4% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • AWS
  • Azure
  • Databricks
  • Snowflake
Where the posting names them
- 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. Technical Skills
Technical Skills - SQL or scripting language: Strong hands-on ability to profile large datasets, validate business rules, reconcile data across sources, investigate anomalies, and support root-cause analysis. - Data quality controls: Experience designing and implementing automated checks for accuracy, completeness, consistency, timeliness, validity, and uniqueness.
- Data pipelines and integration: Working knowledge of ETL/ELT processes, source-to-target mappings, data lineage, APIs, file-based ingestion, and pipeline monitoring. - Cloud data platforms: Hands-on experience with Snowflake, AWS, or a comparable modern data platform. - Data quality and observability tools: Experience using data quality, metadata, catalog, lineage, governance, master data management, or observability tools.
- 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.

Your next step

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About Johnson & Johnson

People
About 138,200 in 2025, about the same as the year before.Annual report (SEC Form 10-K)
Company
Listed as JNJ.

Demand for Data Governance roles

New Data Governance postings at the employers we follow are up 170% over the last 6 weeks compared with the 6 before.

Weekly new Data Governance postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 74, the most 430, and the latest week had 428.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Governance, by the work the posting describes.

Data governance staff keep a company's data accurate, documented and used within the rules. They agree what key fields mean, set up quality checks, track who owns each dataset and look after master data.

Postings ask for SQL, a governance tool such as Collibra or Informatica, knowledge of privacy and data rules, and a lot of work with other teams.

A data engineer builds the systems that move data; governance staff set and check the standards that data has to meet.

Job description

View original posting ↗

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world.  We provide an inclusive work environment where each person is considered as an individual.  At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

People Leader

All Job Posting Locations:

Horsham, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

We are searching for the best talent for Manager, Data Quality

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

Purpose:

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. This role provides functional leadership for delivery partners, establishes 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

You will be responsible for:

Data Quality Strategy & Execution

  • Lead the 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.

Data Quality Operations

  • 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 the underlying cause 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.

Qualifications / Requirements:

Required

  • 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, 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, with practical domain knowledge of how commercial data supports customer engagement, field execution, reporting, analytics, and decision-making.

  • Hands-on knowledge of commercial pharmaceutical data, including several of the following: 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.

Technical Skills

  • SQL or scripting language: Strong hands-on ability to profile large datasets, validate business rules, reconcile data across sources, investigate anomalies, and support root-cause analysis.

  • Data quality controls: Experience designing and implementing automated checks for accuracy, completeness, consistency, timeliness, validity, and uniqueness.

  • Data pipelines and integration: Working knowledge of ETL/ELT processes, source-to-target mappings, data lineage, APIs, file-based ingestion, and pipeline monitoring.

  • Cloud data platforms: Hands-on experience with Snowflake, AWS, or a comparable modern data platform.

  • Data quality and observability tools: Experience using data quality, metadata, catalog, lineage, governance, master data management, or observability tools.

  • Production troubleshooting and delivery practices: 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.

Preferred

  • 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.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. 

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.

Required Skills:

 

 

Preferred Skills:

Advanced Analytics, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Give Feedback, Inclusive Leadership, Leadership, Proactive Behavior, Resource Allocation, Strategic Thinking, Team Management

 

 

The anticipated base pay range for this position is :

The anticipated base pay range for this position is $117,000 and $201,250 USD.

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 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  Additional information can be found through the link below.  https://www.careers.jnj.com/employee-benefits
Source details

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Pay
The anticipated base pay range for this position is : The anticipated base pay range for this position is $117,000 and $201,250 USD. Additional Description for Pay Transparency:
Location & working pattern

Titusville, New Jersey, United States of America

Working pattern and location restrictions need checking in the full posting.

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