Manager – Data Quality and Automation

Johnson & Johnson

Closes in 6 days Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$117,000–$201,250 / yr
Posted
8 days ago
Closes
Jun 22, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $176k
This role $159k
$105k most similar roles pay here $232k

This role pays less than 68% of similar roles. Most pay $141,725–$211,200 — the shaded band above. At the midpoint, this role pays about $159k versus about $176k for comparable roles.

Based on 240 similar postings.

Employer

About Johnson & Johnson

Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices

Johnson & Johnson currently has 63 open roles on FindRole.

Listed pay typically runs $117,000–$201,250 across 61 roles with salary data.

Most-posted roles

View all roles at Johnson & Johnson

At a glance

TL;DR · Manager – Data Quality and Automation

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Johnson & Johnson is seeking a Manager of Data Quality and Automation to lead the strategy, governance, and execution of data quality across its global supply chain ecosystem in Raritan, NJ. This role involves defining and implementing data quality standards, metrics, and KPIs, as well as building dashboards to monitor data health. The manager will also champion AI-enabled approaches to reduce manual effort and improve data accuracy, collaborating with cross-functional teams to identify and resolve data issues. Essential qualifications include a bachelor’s degree in a relevant field, 10+ years of experience in data management or governance, proficiency with SQL, and strong stakeholder management skills. Preferred candidates have experience in regulated industries like pharmaceuticals or healthcare, familiarity with SAP and cloud platforms, and knowledge of AI-enabled data quality tools.

Skills

Informatica Data Quality Collibra Talend SAP MDG SQL AI/ML Azure AWS Snowflake Databricks Data Governance DAMA-DMBOK CI/CD Python PostgreSQL

What you'll do

  • Define and lead the data quality strategy for J&J’s global supply chain data domains.
  • Establish data quality standards, metrics, and KPIs to monitor data health across systems.
  • Implement data quality controls including profiling, validation rules, cleansing, and remediation workflows.
  • Partner with stakeholders to identify root causes of data issues and drive sustainable fixes.
  • Champion a culture of data ownership and accountability across the supply chain organization.

What we're looking for

  • 10+ years of experience in data management or analytics with at least 4 years in a leadership role.
  • Proven ability to define and operationalize data quality frameworks and automated cleansing solutions.
  • Experience applying AI/ML or advanced automation to data quality challenges.
  • Strong knowledge of data quality tools such as Informatica Data Quality, Collibra, Talend, SAP MDG.
  • Track record of driving efficiency and process improvement in a data-intensive environment.

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