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 https://www.jnj.com

Job Function:

Supply Chain Engineering

Job Sub Function:

Automation Engineering

Job Category:

People Leader

All Job Posting Locations:

Raritan, New Jersey, United States of America

Job Description:

We are seeking a multifaceted and innovative Senior Manager, Process & AI Automation, Application Reliability to spearhead our efforts in enhancing application reliability through innovative technologies. This role involves designing and implementing strategies around observability, AI, and automation to optimize operational efficiency, predictability, and customer satisfaction. The ideal candidate will be a leader with vision in integrating AI-driven insights into our processes and driving a cultural shift toward intelligent automation.

The role will located in Raritan, NJ.

This is an exciting opportunity to shape the future of our global, cross-sector service. You’ll work hands-on with Application Reliability service managers, ITSM process owners, process users and platform engineers to uncover automation opportunities, design intelligent workflows, and bring operational efficiencies to life through innovative technology.

What we're looking for:

• A curious mind with a passion for improving operations and user experience through automation
• Someone who sees the big picture but sweats the details of process design and data flow.
• An experienced process engineer and workflow optimizer
• A natural collaborator who enjoys engaging with team members and turning ideas into working solutions.
• A data-driven decision maker
• A self-starter and tech enthusiast who’s not afraid to experiment, iterate, reinvent and lead change.

What you'll do:

• Own the development and execution of strategies using AI, observability tools, and automation to improve application reliability and support functions.
• Deploy self-healing, auto-remediation, and automated incident response mechanisms.
• Define and track critical metrics for automation impact and reliability improvements.  Report automation value and reliability metrics to senior leadership. Collaborate with multi-functional teams to identify automation opportunities and implement scalable solutions to streamline incident management, troubleshooting, and system monitoring.
• Drive the adoption of observability platforms and analytics to proactively determine and resolve potential issues before impacting end-users.
• Develop innovative methodologies using AI/ML models for predictive maintenance, anomaly detection, and root cause analysis.
• Establish guidelines for monitoring, alerting, and incident response workflows grounded in automation and AI insights.  Design and document automated workflows, exception handling, and escalation paths.
• Lead the evaluation, recommendation, and integration of emerging technologies to enhance operational capabilities.
• Promote a data-driven culture with continuous improvement initiatives based on insights derived from observability and AI tools.

Skills Required:

• Bachelor's Degree
• Solid understanding of core ITSM processes: Incident, Problem, Change, and Request Management
• Expertise in mapping and re-engineering processes and user journeys for automation suitability, including experience with process mining tools or BPMN

Technical Expertise:

• Demonstrable experience with application support, reliability engineering, or DevOps in complex environments.
• Hands-on experience crafting and building automations in ServiceNow (Flow Designer, Business Rules, Workflows, etc.) or other workflow-based platforms.
• Advanced scripting skills (Python, PowerShell, Go) for automation and integrations.
• Strong knowledge of observability tools (e.g., Grafana, AppDynamics, Splunk) and AIOps platforms (e.g., Moogsoft, BigPanda, Splunk ITSI, Dynatrace Davis).
• Hands-on experience with AI/ML techniques and frameworks (e.g., Python, TensorFlow, scikit-learn), including deploying models in production IT environments.
• Familiarity with automation tools (e.g., Ansible, Puppet, Jenkins, Terraform) and cloud-native automation (AWS, Azure, GCP).
• Solid skills in SQL and data visualization (Power BI, Tableau) for telemetry and operational analytics.
• Experience with system integrations across diverse platforms.

Strategic & Analytical Thinking:

• Ability to design and articulate strategic plans for integrating AI and observability into operational workflows.
• Strong analytical skills with the ability to interpret large data sets and derive actionable insights.

Leadership & Collaboration:

• Demonstrable experience in multi-functional teams or projects with a focus on digital transformation.
• Ability to collaborate multi-functionally and translate partner needs into practical automation designs.
• Excellent communication skills to translate technical concepts into business value.

Preferred Skills:

• ServiceNow certifications
• ITIL 3/4 certification
• IT Operations experience (application / infrastructure)

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. 

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.

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