Data Quality and Automation Specialist (BR)

Antler Co; Guarulhos; Presencial; BRL 180 000 - 260 000; Tempo integral

Resumo da oferta

Johnson & Johnson is seeking a Data Quality and Automation Specialist to ensure the integrity of supply chain data in São Paulo, Brazil, while leading AI and automation initiatives across global sites.

The role partners with multiple teams to define requirements, close process gaps, and design scalable data quality solutions that boost efficiency and enable data-driven decisions for patient outcomes.

Qualificações

• Bachelor's degree in Supply Chain, Data Analytics, Information Systems, Engineering, or 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.

Responsabilidades

• Data Quality Management: Establish, monitor, and enforce data quality standards, rules, and governance across supply chain systems.
• Automation & Process Improvement: Identify manual, repetitive processes and support automation solutions (RPA, Power Automate, Python, SQL scripts, ETL pipelines).
• Cross-Functional Engagement: Engage with multi-functional teams to gather quality requirements and monitor resolution.

Conhecimentos

Analytical

Problem solving

Communication

Stakeholder management

Prioritization

Continuous improvement

Formação académica

Bachelor's degree

Ferramentas

SQL

Python

Power BI

Power Automate

RPA

ETL

Descrição da oferta de emprego

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.

Raritan, NJ - Requisition Number: R-080485

LATAM (MEX/COL) - Requisition Number: R-081827

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.

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