Director, Enterprise Observability and Automation

Johnson & Johnson

. Define and execute a multi-year enterprise observability and automation strategy aligned with J&J Technology priorities, business outcomes, cybersecurity expectations, and organizational needs .

Posted 10/2/2026full-timeRaritan • New Jersey • United StatesLead💰 $150,000 - $258,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and executing enterprise observability strategies, operational automation, and AI-driven solutions while leading cross-functional teams in a highly regulated environment. Proficient in cloud-native architecture, incident management, and stakeholder collaboration to optimize technology spend and improve operational maturity.

Highest-signal resume keywords

Enterprise Observability StrategyOperational AutomationAI/ML Solutions ManagementCloud-Native ArchitectureIncident Management Processes

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringPlatform EngineeringSite Reliability EngineeringObservability StrategiesOperational AutomationOpenTelemetryDistributed TracingKubernetesMLOpsDigital Experience Monitoring

Soft Skills

Exceptional CommunicationStakeholder ManagementAnalytical Problem-SolvingContinuous Improvement MindsetInclusive Leadership

Tools & Technologies

SplunkAppDynamicsGrafanaTelegraphClickhouseCloud-Native MonitoringAIOpsAI GuardrailsServiceNowAPIs

Certifications & Qualifications

ITILSplunkServiceNowCloud PlatformsAIMachine LearningData AnalyticsAutomation

Industry Keywords

HealthcareLife SciencesMedical TechnologyComplianceRegulatory StandardsNIST AI RMFEU AI Act

Tech Stack

Tools & technologies

CloudCyber SecurityGrafanaKubernetesMicroservicesServiceNowSplunk

About the role

Key responsibilities & impact

Define and execute a multi-year enterprise observability and automation strategy aligned with J&J Technology priorities, business outcomes, cybersecurity expectations, and organizational needs
Define a vendor-neutral target architecture spanning telemetry collectors, agents, gateways, routing, processing, and backend platforms
Establish standards for data models, tagging and metadata, retention tiers, data residency, personally identifiable information handling, and cross-signal correlation
Establish lifecycle monitoring for AI, machine-learning, and agentic solutions, including performance, drift, latency, cost, quality, explainability, bias, safety signals, and human oversight
Advance anomaly detection, intelligent alerting, event correlation, automated root-cause analysis, predictive operations, and remediation
Partner with product, platform, and business technology leaders to establish service-level objectives, service-level indicators, error budgets, and experience measures
Own the enterprise observability architecture, standards, roadmap, investment portfolio, and strategic vendor relationships
Collaborate with security, risk, privacy, quality, regulatory, legal, data, and responsible-AI partners to embed practical controls
Build, lead, and develop teams spanning observability engineering, site reliability engineering, AI/ML platform engineering, and AIOps
Strengthen incident, problem, change, and knowledge-management practices through on-call operations, post-incident reviews, problem management, and continuous learning
Provide leadership with insight into service health, AI performance, reliability risk, adoption, value realization, and investment priorities
Drive simplification, interoperability, reuse, cost optimization, automation adoption, and measurable improvements in operational maturity

Requirements

What you’ll need

Bachelor's degree in computer science, engineering, information systems, or a related field; an advanced degree is preferred
10+ years of progressive experience in software engineering, platform engineering, site reliability engineering, enterprise operations, or a related technology discipline
4+ years of experience leading teams and/or people leaders in a global, matrixed environment
Demonstrated experience defining and implementing enterprise-scale observability strategies across business-critical applications and services
Proven experience implementing operational automation, orchestration, AIOps, or AI-driven solutions
Experience improving reliability, reducing mean time to detect and restore, simplifying tool landscapes, and optimizing technology spend
Experience working in a highly regulated environment and translating security, privacy, quality, and compliance expectations into practical engineering controls
Expertise in OpenTelemetry, distributed tracing, metrics, logs, events, digital experience monitoring, and large-scale telemetry pipelines
Strong knowledge of cloud-native architecture, public cloud platforms, Kubernetes, APIs, microservices, and modern software delivery practices
Experience operating AI/ML or large-language-model solutions in production, including evaluation, monitoring, MLOps/LLMOps, guardrails, and model-risk controls
Experience with observability and monitoring platforms such as Splunk, AppDynamics, Grafana, Telegraph, Clickhouse, cloud-native monitoring, or comparable technologies
Strong understanding of Incident, Problem, Change, and Knowledge Management processes and their integration with enterprise observability and automation
Exceptional communication, documentation, and stakeholder-management skills
Ability to lead through critical incidents, service disruption, ambiguity, and competing enterprise priorities
Strong analytical, problem-solving, and continuous-improvement mindset
Demonstrated commitment to inclusive leadership, talent development, collaboration, and Our Credo values
Preferred: Experience with LLM observability, evaluation frameworks, agentic-AI runtime controls, retrieval-augmented generation, and AI guardrails
Preferred: Familiarity with responsible-AI frameworks and evolving regulations and standards, including NIST AI RMF and the EU AI Act
Preferred: Experience managing large technology portfolios, enterprise observability spend, and strategic suppliers
Preferred: Experience in healthcare, life sciences, medical technology, or another quality- and compliance-intensive industry
Preferred: Relevant certifications in ITIL, Splunk, ServiceNow, cloud platforms, AI, machine learning, data analytics, or automation

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Life insurance
Short- and long-term disability insurance
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
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