Delivery Lead: Agentic AI & Platform

Cloud Analytics Technologies, LLC; Middletown Township (PA); On-site; USD 120,000 - 180,000; Full time

Job summary

Cloud Analytics Technologies, LLC is seeking a Delivery Leader who combines Scrum Master leadership with technical delivery management to enable secure, scalable cloud-native and AI-enabled platform capabilities.

You will drive execution across platform engineering, Enterprise Architecture, DevOps, infrastructure, cybersecurity, cloud, and applications teams, maintaining visibility into progress and outcomes.

Qualifications

• 5+ years of experience in Scrum Master, Agile delivery, technical project management, or comparable technology delivery roles.
• Demonstrated experience leading complex technology initiatives involving multiple engineering and technical teams.
• Experience working within cloud infrastructure, platform engineering, Kubernetes/container platforms, developer platforms, DevOps, AI, or Enterprise Architecture environments.
• Strong understanding of Agile and Scrum delivery practices.
• Experience supporting scaled or enterprise Agile planning and execution.
• Demonstrated ability to manage delivery commitments, risks, dependencies, impediments, milestones, and cross-team coordination.
• Experience using Jira for backlog, delivery, dependency, risk, and progress management.
• Ability to effectively partner with software engineers, infrastructure engineers, architects, Product Owners, cybersecurity teams, and technology leadership.
• Strong facilitation, communication, stakeholder management, problem-solving, and escalation-management skills.
• Technical fluency sufficient to understand architecture and engineering discussions and translate technical complexity into delivery impacts and actionable next steps.

Responsibilities

• Lead Agile delivery for Agentic AI, Kubernetes, container platform, Port.io, and IDP initiatives.
• Facilitate sprint planning, backlog refinement, daily stand-ups, sprint reviews, retrospectives, and other team-level Agile ceremonies.
• Partner with Product Owners and engineering leaders to ensure backlogs are prioritized, refined, actionable, and aligned with committed outcomes.
• Support PI Planning through team readiness, backlog alignment, dependency identification, risk identification, and delivery commitments for assigned initiatives.
• Drive predictable delivery by monitoring commitments, throughput, flow, dependencies, risks, blockers, and overall delivery health.
• Coordinate execution across engineering, architecture, infrastructure, security, and other technology teams.
• Proactively identify and remove team-level impediments and elevate issues or decisions that require broader portfolio or leadership intervention.
• Maintain accurate delivery information in Jira and provide transparent visibility into progress, dependencies, risks, blockers, and outcomes.
• Lead Agile delivery for Agentic AI capabilities supporting Enterprise Architecture and architecture-related workflows.
• Coordinate execution across Enterprise Architecture, AI, Cloud & Infrastructure, cybersecurity, identity, engineering, and other participating teams.
• Track dependencies related to AI capabilities, platform services, infrastructure, integrations, security, identity/access, and governance.
• Coordinate delivery activities from backlog readiness and development through evaluation, release readiness, and operational transition.
• Facilitate delivery and technical discussions while maintaining clear accountability between Product, Architecture, Engineering, and Delivery roles.
• Identify and elevate unresolved architecture, technical, security, or cross-team dependencies that may impact committed delivery outcomes.

Skills

Scrum Master

Agile delivery

Delivery leadership

Stakeholder management

Risk management

Cross-team coordination

Tools

Jira

Kubernetes

Port.io

Job description

Cloud Analytics Technologies, LLC is seeking a Delivery Leader who combines Scrum Master leadership with technical delivery management to enable secure, scalable cloud-native and AI-enabled platform capabilities.

You will drive execution across platform engineering, Enterprise Architecture, DevOps, infrastructure, cybersecurity, cloud, and applications teams, maintaining visibility into progress and outcomes.