Automation Technical Product Manager, Protein Development

Responsibilities

• Own end-user facing tools for services including but not limited to: computational fluid dynamics modeling, in silico drug development tools, cell engineering analyses, and digital automation programs; modernize the AWS landscape to ensure security, containerization, and cost-efficiency.
• Technical Owner of SaaS and OPx/VPx based applications for lab operating and analysis technologies; coordinate server install and upgrades for bioreactor systems such as Ignition and Bio Brain.
• Deliver innovative digital solutions for process automation, standardization and integration with digital platform architecture; drive lean documentation practices in accordance with SDLC.
• Work with functional teams to build digital roadmaps for E2E data flows from collection to consumption, including action plans and resourcing/funding proposals for capital and operating expenses.
• Collaborate across business areas with partners, vendors, technical staff and project teams to drive value and deploy innovative solutions.
• Continuously review the business needs, refine priorities, and champion organizational change.
• Establish Outcomes & Key Results and metrics to evaluate performance and user happiness.
• Understand and apply Johnson & Johnson’s Credo and Leadership Imperatives in day-to-day interactions with team.

• A Bachelor’s degree is required preferably in Biotechnology, Computer Science, Systems/Automation Engineering or a related subject area.
• Minimum 5 years’ experience enabling technical scientific solutions within the pharmaceutical or like industry.
• Proficiency in AWS S3, EC2, Lambda, cost management and modernization.
• Strong foundational IT skills including architecture principles, data engineering, cloud computing, AI/ML and database design.
• Experienced in SDLC for GxP data systems.
• Understanding data flows between end-users, instruments and execution systems.
• Knowledge of network connection setup to support R&D labs (firewalls, server connections, cyber security).
• Experience with programming language for data integration and extraction (Python, Java, R..).
• Commercial software technical management and vendor relationship.
• Agile methodology approach and project management tools (e.g., JIRA, Confluence, Asset Management, Bit Bucket/Git Hub).