Senior Manager Data Engineering - US

Johnson & Johnson • Cincinnati, OH

69d • $138,000 - $238,050

About The Position

We are searching for the best talent for Senior Manager, Data Engineering located in Cincinnati, OH! About MedTech: Fueled by innovation at the intersection of biology and technology, we're developing the next generation of smarter, less invasive, and more personalized treatments. Your outstanding talents will help patients on their journey to wellness. Learn more at Johnson & Johnson MedTech. The Johnson & Johnson Supply Chain Advanced Development Engineering group is seeking a Senior Manager of Data Engineering to enable teams to make better business decisions using unified data and democratizing the data model.

Requirements

• A bachelor's degree is required in computer science or related field.
• 10+ years of work experience in data analysis or related field.
• 3+ years of people management experience.
• Solid grasp of data lifecycle required around data ingestion, data contextualization, data insights and analytics is required.
• Familiarity with various types of databases (PostgreSQL, MS sql)
• Experience of working with IT and application development functions
• Experience with Python and Linux
• Knowledge of ERP systems
• Experience in one or BI software tools like Tableau, Qlik, Power BI, etc.
• Good communication and influencing skills.
• Demonstrable experience in setting up and handling data in cloud computing environment (AWS or Azure) highly preferred.
• Experience working with manufacturing operations technology (OT) systems, such as MES, SCADA, PLCs, or plant data historians, and integrating OT data with enterprise IT systems.
• Strong understanding of manufacturing data flows and how OT data can be leveraged for analytics and business insights.
• People leader experience required.
• Ability to travel up to 25% of the time, including international travel.

Responsibilities

• Manage portfolio of multiple data projects and work closely with business and IT functions to deliver data projects in timely and cost-effective manner
• Manage development of provisioning data pipes for reporting and data science
• Map the base data elements which needs to be transformed and provisioned
• Work with business to get understanding of their data requirements
• Help Business improve process and help business to make data driven decisions

Benefits

• Medical, dental, vision, life insurance
• Short- and long-term disability
• Business accident insurance
• Group legal insurance
• Consolidated retirement plan (pension)
• Savings plan (401(k))
• Long-term incentive program
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Industry: Chemical Manufacturing
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees