Description
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 jnj.com.
As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Job Function:
Technology Product & Platform ManagementJob Sub Function:
Technology Operations SupportJob Category:
People LeaderAll Job Posting Locations:
São José dos Campos, São Paulo, BrazilJob Description:
The Senior Manager – Global Network Automation, AI & Security is accountable for providing enterprise‑level ownership of network operations automation, operational data governance, AI‑enabled capabilities, and critical network security platforms across global enterprise and manufacturing networks.
The position is accountable for delivering measurable, cross‑regional business outcomes, including improved network reliability, reduced operational risk, increased efficiency, and accelerated insight through trusted data, intelligent automation and AI.
A critical aspect of this role is the oversight and governance of core network security platforms, including Firewalls, Load Balancers, SASE cloud environments, and enterprise network vulnerability and security patch management. The role provides senior technical governance and vendor management for Network Managed Service Providers and strategic suppliers, represents Global Network Services, and leads initiatives that strengthen network security and resilience.
The role drives continuous improvement across Network Operations through Problem Management, high‑availability engineering, and proactive resiliency practices. This includes identifying and mitigating single points of failure, configuration mismatches, systemic process gaps, and architectural risks. Improvement is achieved through the disciplined application of automation, AI, and data governance, supported by clear baseline metrics and outcome‑based performance measurements that demonstrably increase the availability, stability, and resiliency of the J&J global network.
Responsibilities
- Provide enterprise ownership and operational governance of critical network security platforms (firewalls, load balancers, SASE), including access controls, vulnerability remediation, and patch governance to reduce operational risk and improve security posture.
- Define and execute the global network operations automation, AI, and operational data governance roadmap; establish standards, metrics, and outcome-based performance measurements that improve reliability, resiliency, and operational efficiency.
- Lead cross-functional and cross-regional alignment with Information Security, Network Engineering/Deployment, and Business IT to translate operational needs into prioritized improvements, trusted data, and standardized operating practices using automation & AI.
- Provide senior technical governance and vendor/MSP management for managed network services and strategic suppliers; drive service performance, SLA adherence, and delivery of measurable business outcomes.
- Provide executive-level operational insight and governance through dashboards and reviews (risk, compliance, change, and policy adherence); recommend actions and investments based on trends, problem themes, and roadmap priorities.
- Operational Network Services performance
- Significant trends and recommended actions
- High priority Problems and action plan
- Potential risk of the overall environment
- Future recommendations for tool, operational and process improvements
Other Duties
- Establish and mature AI governance for Network Operations use cases (intake, risk review, guardrails, testing, and production release).
- Define and operationalize data governance practices for Network Operations (data definitions, lineage, quality controls, stewardship, and retention) to enable trusted reporting and AI/automation.
- Identify, prioritize, and incubate automation candidates (ticket reduction, change validation, patch/vulnerability workflows, and self-healing) and drive adoption through measurable outcomes.
- Contribute to the definition and continuous improvement of ITIL-aligned operational standards, policies, and governance practices across Network Operations.
- Serve as a technical authority for operational tools and platforms, providing architecture/TAO input for network operations applications and supporting services.
- Own and mature knowledge management practices (runbooks, knowledge articles, standard operating procedures) and enable AI-assisted knowledge retrieval to accelerate resolution and scale operations.
- Oversee certificate and license lifecycle management for assigned security and network platforms to maintain compliance and operational continuity.
- Support contract governance and periodic service reviews by defining/validating requirements for Managed Service Providers and strategic suppliers, including automation and data KPI expectations.
- Coach and develop team capabilities to evaluate and adopt emerging technologies aligned to the automation, AI, and security roadmap.
- Promote a Credo-based, ethical, and inclusive work environment; role-model decision making and accountability across teams and partners.
Required Knowledge, Skills and Abilities
- Bachelor's degree is required (Master's degree is preferred)
- 8-10 Years Related Experience
- 4-6 years Experience directly and indirectly managing employees, contractors and service providers
- Enterprise network operations expertise, including governance and lifecycle management of security/network platforms (firewalls, load balancers, SASE, VPN/remote access) across global enterprise and manufacturing environments.
- Proven experience defining and delivering a multi-year automation and AI roadmap, including outcome-based metrics (reliability, risk reduction, efficiency) and adoption at enterprise scale.
- Strong operational data governance capability (definitions, lineage, quality controls, stewardship, access/retention) enabling trusted dashboards, reporting, and AI/automation use cases.
- Demonstrated vendor/MSP governance in a large outsourced environment, including service performance management, SLA/OLA adherence, and continuous improvement execution.
- Advanced problem management, troubleshooting, and resiliency engineering skills (high availability patterns, SPOF identification, configuration drift, systemic/root-cause elimination).
- Strong automation engineering and tooling experience (scripting, orchestration, CI/CD for ops, API integration) to reduce tickets, standardize changes, and enable self-healing capabilities.
- Experience governing vulnerability remediation and security patch management for network platforms, including risk-based prioritization and coordination with Information Security.
- Strong observability and operational reporting skills (monitoring, logging/telemetry, KPI/SLA dashboards) to drive executive insight, risk visibility, and data-driven prioritization.
- Proven leadership of cross-regional teams and stakeholders, translating operational needs into prioritized initiatives, standards, and measurable business outcomes.
- Executive-ready communication skills (written and verbal) with ability to lead governance forums, influence decisions, and present recommendations based on trends, risks, and performance data.
- Ability to evaluate and apply AI capabilities responsibly (use-case selection, guardrails, testing/validation, release management) to improve operations while managing risk.
Preferred Related Industry Experience
- Demonstrated experience delivering automation programs at scale (AIOps, orchestration, self-healing, and ticket reduction) within large enterprise network operations.
- Experience establishing operational data governance for IT/Network Operations (data quality, definitions, lineage, stewardship) enabling trusted reporting and AI/ML use cases.
- Experience implementing AI-enabled operational capabilities (e.g., intelligent triage, automation recommendations, AI-assisted knowledge) with appropriate security, risk, and compliance guardrails.
- Possess an advanced certification such as CCNP / CCDP or higher.
- CISSP certification.
Preferred Knowledge, Skills and Abilities:
- Strong knowledge in these technologies preferred: VPN, SASE, Firewalls
- Network segmentation
- Automation / scripting
- Data analysis, business intelligence, and report architecture and development.
- Proficiency with Microsoft Power Platform and data/analytics tooling (Power BI, Power Apps, Power Automate, Microsoft Fabric, databases)
- Practical application of Copilot/GenAI/Agentic AI to accelerate operational insights, reporting, and automation delivery.
- Proven vendor management experience in a large, outsourced environment
- Exceptional customer service orientation
- Ability to effectively prioritize and execute in a high-pressure environment
- Extensive experience working in a team-oriented, collaborative environment
- Proven experience working with virtual teams
- Excellent written and oral communication skills
Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):
Brazil (SJC) - Requisition Number: R-073878
United States (Raritan) - Requisition Number: R-075673
Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission.
Required Skills:
Preferred Skills:
Business Case Modeling, Compliance Management, Developing Others, Empowering People, Human-Computer Interaction (HCI), Inclusive Leadership, IT Service Management (ITSM), Leadership, Product Knowledge, Product Lifecycle Management (PLM), Quality Assurance (QA), Resource Planning, Service Request Management, Software Development Management, Team Management, Technical Credibility, Technical Support, Technical Writing