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AT&T · 1 month ago

Lead System Engineering - Enterprise Release and Change Management

Bedminster, NJ

Full-time

Onsite

Senior Level

$128K/yr - $216K/yr

5+ years exp

AT&T is a leading telecommunications company focused on advancing information technology performance. The Lead System Engineering role involves designing and delivering enterprise-grade solutions for Release and Change Management, driving automation and AI integration, and ensuring service reliability across the organization.

CollaborationCommunications InfrastructureMobileService IndustryTelecommunicationsWireless

No H1B

Responsibilities

Design and deliver enterprise-grade solutions for Release and Change Management within IT Service Management

Drive automation, data driven and AI enabled integration, and process optimization to enhance resilience, accelerate delivery, and ensure service reliability

Focus on transitioning from fragmented, application-specific practices to mature enterprise models by embedding AI-powered capabilities such as predictive risk analysis, automated change validation, and intelligent scheduling across RM/CM processes

Architecture & Design: Build scalable, high-availability systems for standardized RM/CM processes. Integrate automation, AI, and data analytics for efficiency and consistency

Agile & DevOps Enablement: Embed SAFe, Agile, DevOps, and CI/CD principles. Optimize pipelines for rapid, secure deployments

Data and AI-Enabled Release Management Strategy: Transition from fragmented, app-driven practices to a mature enterprise model by embedding data and AI-powered capabilities across solution areas—predictive analytics, automated risk assessment, and intelligent change validation

Requirements & Integration: Translate business needs into technical specifications. Ensure seamless integration with ITSM platforms, cloud services, and infrastructure

Sprint-Based Delivery: Use iterative sprint approach to develop standardized policies and tools, pilot quickly, and scale across the enterprise

Technical Leadership: Guide cross-functional teams, foster innovation, and align solutions with business objectives

Performance & Reliability: Analyze system performance, troubleshoot proactively, and minimize incidents. Benchmark metrics. Building Dashboard for tracking progress and metrics

Governance & Compliance: Standardize RM/CM processes with secure, auditable, and repeatable patterns

Continuous Improvement: Use post-release analytics to refine processes and adopt emerging trends

Documentation & Training: Maintain clear documentation and deliver training on AI-enabled RM/CM strategy to enterprise partners

Mentoring; Drives Culture of Continuous Improvement

Qualification

SDLC for SAFe AgileReleaseChange ManagementData AnalyticsAI technologiesPythonPower BIITSM toolsAgileDevOpsGovernanceContinuous ImprovementDocumentation & TrainingTechnical LeadershipCommunication