IT Manager

Get AI-powered advice on this job and more exclusive features. 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 Job Function Technology Product & Platform Management Job Sub Function Agile Job Category Scientific/Technology All Job Posting Locations Bogotá, Distrito Capital, Colombia; Buenos Aires, Argentina; Ciudad de Mexico, Mexico; Santiago, Región Metropolitana, Chile; São José dos Campos, São Paulo, Brazil; São Paulo, Brazil Job Description Johnson & Johnson is recruiting for a Manager, Release Train Engineer to Lead and Support the MedTech Latrain HPT Model, our SAFE Scaled Agile Framework. As part of Latrain, the Release Train Engineer (RTE) will play an important role in driving business agility and enabling the different Product Groups and Products to deliver value at scale. The RTE acts as a servant leader and coach for the Agile Release Train (ART), facilitating the delivery of high-impact capabilities across Regional teams while ensuring alignment with our OKRs & goals, product strategies, and Lean-Agile principles. This role requires deep knowledge of Scaled Agile Framework (SAFe), demonstrable experience orchestrating multi-functional collaboration, and the ability to navigate dependencies and stakeholder in a fast-paced environment. Key Responsibilities Act as Release Train Engineer (RTE) to lead and support the Latrain ART in alignment with Latam OKR & goals Lead and optimize flow of value through the Agile Release Train using tools like Kanban and SAFe metrics Establish and maintain the ART calendar, including Iterations and Program Increments (PIs) Drive PI Planning readiness, enabling synthesis of Vision, Roadmap, and Backlogs through continuous exploration practices Facilitate PI Planning events and associated Pre- and Post-PI planning meetings Supervise the execution of Features and Capabilities across teams and identify risks early Lead ART syncs and System Demos to maintain alignment and visibility across the program Support decision-making through team-level estimation activities Coach teams, leaders, and Scrum Masters on Lean-Agile best practices Identify, elevate, and remove impediments while helping manage risks and dependencies Advise on resourcing needs and bottleneck mitigation strategies Drive collaboration between teams and partner functions (e.g., Data, Architecture, Engineering) Partner with Product Management, Product Owners, and business partners to ensure strategy-execution alignment Improve DevOps and Release on Demand maturity to enhance value stream performance Facilitate Inspect & Adapt workshops to drive continuous improvement and elevate team agility Qualifications Demonstrable experience running Scaled Agile (SAFe) programs in large, matrixed environments Solid understanding of Agile delivery models, with the ability to coach teams in Lean-Agile principles Excellent facilitation and interpersonal skills, especially across regional and multi-functional stakeholder groups Experience with Agile tools such as Jira, Rally, or similar enterprise agile management systems Familiarity with DevOps, CI/CD, and Lean Portfolio Management is preferred Experience working within regulated industries (e.g., MedTech, Pharma, Life Sciences) is a plus SAFe Agilist certification (SA) and RTE certification is strongly preferred Seniority Level Not Applicable Employment Type Full-time Job Function Information Technology Industries Hospitals and Health Care Referrals increase your chances of interviewing at Johnson & Johnson MedTech by 2x We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr