Data Quality and Automation Specialist (BR)
Notify me about similar jobsAbout this opportunity
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:
Quality
Job Sub Function:
Digital Quality
Job Category:
Professional
All Job Posting Locations:
Guarulhos, São Paulo, Brazil
Job Description:
Johnson & Johnson is currently recruiting for a Data Quality and Automation Specialist to to be based in Sao Paulo, BR. Consideration will also be given to Raritan, NJ, Mexico, Bogota, COL.
Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):
Raritan, NJ - Requisition Number: R-080485
LATAM (MEX/COL) - Requisition Number: R-081827
Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission.
About MedTech
Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments.
Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech
About the Role
This role will be responsible for ensuring the integrity, accuracy, and reliability of supply chain data while driving AI and automation initiatives that streamline day-to-day operations. This role partners across different supply chain teams to gather requirements, identify process gaps, and design scalable, automated data quality solutions that improve operational efficiency and data-driven decision-making. This is a high-impact, cross-functional role that directly enables better patient outcomes and operational excellence
Key Responsibilities
Data Quality Management:
Establish, monitor, and enforce data quality standards, rules, and governance across supply chain systems
Proactively identify, investigate, and monitor data discrepancies, anomalies, and root causes affecting master data, transactional data, and reporting.
Develop and maintain data quality dashboards, scorecards, and Key Performance Indicators to track health, completeness, and accuracy over time.
Automation & Process Improvement:
Identify manual, repetitive, and error-prone processes and support implementation of automation solutions (e.g., RPA, Power Automate, Python, SQL scripts, ETL pipelines).
Build, test, and deploy automated workflows that reduce cycle time and improve reliability of day-to-day supply chain operations.
Continuously evaluate emerging tools and technologies to enhance automation and analytics capabilities.
Cross-Functional Engagement:
Engage with multi-functional teams across projects and critical initiatives to gather quality requirements, implement them and monitor for resolution.
Partner with stakeholders to prioritize initiatives, align on outcomes, and communicate progress and impact.
Qualifications
Required:
Bachelor's degree in Supply Chain, Data Analytics, Information Systems, Engineering, or a related field.
7+ years of experience in supply chain data management, or analytics, with a focus on data quality and process automation.
Hands-on experience with data tools and automation platforms (SQL, Python, Power BI, Power Automate, RPA, ETL).
Strong knowledge of supply chain processes and master data domains (material, vendor, customer, BOM, inventory).
Proven ability to capture requirements and collaborate across diverse teams.
Preferred:
Experience in a regulated industry (pharmaceutical, medical devices, or consumer health).
Familiarity with SAP S/4HANA, data governance frameworks, and master data management (MDM) tools.
Experience with cloud data platforms (Azure, AWS, or Snowflake).
Lean Six Sigma or project management certification.
Core Competencies:
Analytical competence and problem-solving approach with strong attention to detail.
Strong communication and stakeholder-management skills.
Ability to manage multiple priorities in a fast-paced operational environment.
Bias for action, continuous improvement, and innovation.
Required Skills:
Preferred Skills:
Coaching, Communication, Compliance Management, Continuous Improvement, Controls Compliance, Digital Assurance, Econometric Models, Issue Escalation, Performance Measurement, Problem Solving, Process Optimization, Quality Control (QC), Quality Management Systems (QMS), Quality Standards, Regulatory Compliance, Standard Operating Procedure (SOP), Technologically Savvy
Job details
How this role compares
Computed from every other active Quality role in our database, not just this employer's listings.
We currently track 1008 comparable Quality roles across 131 biopharma companies.
Salary context
193 of 1008 peers report a salary range (USD, annualized)
Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.
Where these roles are based
Top locations among the 1008 comparable roles
+ 42 more countries
Seniority mix
498 of 1008 peers have a known seniority level
Therapeutic area mix
2 of 1008 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.
Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.
Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.
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Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.