Manager Data Engineering

Johnson & Johnson - Jacksonville, FL

Full-time - Mid Level

Jacksonville, FL

10,001+ employees

Chemical Manufacturing

About the position

The Manager Data Engineering at Johnson & Johnson MedTech is responsible for overseeing the organization, storage, retrieval, and protection of strategic Supply Chain data assets. This role involves leading digital solutions that enhance internal efficiency and effectiveness while aligning with the global Johnson & Johnson Vision Supply Chain organization. The incumbent will work closely with various teams to implement data governance, quality management, and integration processes, ensuring compliance with data protection regulations and facilitating data analytics support.

Responsibilities

• Establishing and enforcing data management policies and procedures.
• Collaborating with compliance and data privacy regulation SMEs to account for their requirements into E2E data solutions where possible.
• Developing and implementing data governance frameworks.
• Collaborating with data stewards and data owners to help them address data quality issues.
• Overseeing the design, build, and maintenance of E2E Supply Chain data infrastructure, including databases, schema and table designs, and integration with both source systems and data consumption applications.
• Managing E2E data models and schemas.
• Collaborating with IT to ensure cloud resource performance and security.
• Facilitating the integration of data from various sources.
• Implementing and managing ETL (Extract, Transform, Load) processes.
• Ensuring data consistency and integrity across different systems.
• Implementing measures to protect sensitive data.
• Collaborating with IT security teams to ensure data confidentiality.
• Ensuring compliance with data protection regulations.
• Collaborating with data analysts and data scientists to provide access to quality data.
• Facilitating the use of data for business intelligence and analytics purposes.
• Maintaining comprehensive documentation for data processes and structures.
• Creating metadata and data dictionaries to aid understanding and use of data.
• Managing the entire lifecycle of data from creation to archiving or deletion.
• Implementing data retention policies and procedures.
• Providing training to employees on data management policies and best practices.
• Communicating changes in data management processes and policies.
• Collaborating with IT to identify and mitigate risks associated with data management.
• Planning for data recovery in case of data loss or system failures.

Requirements

• Bachelor's degree required.
• A minimum of 6 years of relevant work experience.
• A minimum of 1 year of relevant digital experience.
• A minimum of 2 years supporting supply chain.
• Strong analytical and problem-solving skills including the ability to reconcile external and internal data sources.
• Demonstrated ability to synthesize data, interpret data, and facilitate the visualization of data to improve business performance.
• Advanced proficiency in data modeling and data engineering.
• Proficiency in Data Warehouse Architecture and Microsoft Azure required.
• Experience collaborating with multi-disciplinary teams.
• Ability to multi-task, prioritize work, problem solve, and deliver maximum business value.
• Ability to build strong networks and manage stakeholder expectations across the business at all levels.
• Effective communication skills including presentation skills.

Nice-to-haves

• A Masters, MBA, or other Advanced degree preferred.
• A degree focused in Computer Science, Engineering, Supply Chain Management, Mathematics, Business Administration, or another technical major preferred.
• Experience working in the Agile Project Management methodology.
• Proficiency in Tableau, Power BI, and Alteryx.
• Experience in software development, product management, data engineering, or business intelligence administration.
• Experience in strategy development and conversion to operational plan or roadmaps.
• Business acumen in emerging digital technologies (i.e. cloud computing, big data, IoT, AI/ML, RPA, blockchain, intelligent automation, virtual and augmented reality, etc.) and their implications for supply chain operations.
• Proficiency related to database software applications.