Jobs · Project Management · New Jersey

Program Manager/RTE (GenAI)

CGI · Bedminster, NJ · Yesterday
Project Management$88k/yrFull-time

About the role

The successful candidate will lead strategic initiatives within the Chief Data Office (CDO) of a leading telecom organization. This role is critical to driving the successful execution of complex business and technology programs involving advanced analytics, network intelligence, and Generative AI (GenAI) capabilities.

Responsibilities

  • Lead the planning, execution, and delivery of strategic business and technology programs aligned with organizational priorities.
  • Serve as the Program Manager and/or Release Train Engineer (RTE) for multiple Agile teams, ensuring alignment across business, product, data, and technology workstreams.
  • Manage program scope, timelines, budgets, dependencies, risks, and deliverables across internal and external stakeholders.
  • Drive execution of AI and Generative AI initiatives, including use cases involving intelligent automation, Large Language Models (LLMs), enterprise copilots, knowledge management, and advanced analytics.
  • Ensure alignment of program objectives with network operations, customer experience, analytics, and emerging technologies such as 5G, Edge Computing, AI/ML, and GenAI.
  • Partner with business leaders, architects, product owners, and engineering teams to identify, prioritize, and deliver GenAI use cases.
  • Lead roadmap planning, governance, and execution of GenAI solutions leveraging enterprise platforms and cloud technologies.
  • Support implementation of AI operating models that promote scalability, adoption, and business value realization.
  • Track adoption, business outcomes, and performance metrics for GenAI initiatives.
  • Stay current with emerging AI technologies, industry trends, and best practices.
  • Serve as the primary point of contact for executive sponsors, technical teams, and key business stakeholders.
  • Facilitate collaboration across data, architecture, engineering, AI/ML, product, and business teams.
  • Communicate program status, risks, dependencies, and strategic recommendations to senior leadership.
  • Identify and mitigate program risks, delivery challenges, resource constraints, and operational dependencies.
  • Maintain escalation paths and resolution plans for high impact issues.
  • Proactively manage cross team dependencies and remove delivery impediments within Agile environments.
  • Define and track KPIs related to program milestones, GenAI adoption, delivery performance, and business outcomes.
  • Deliver executive level reporting, dashboards, and status updates.
  • Monitor program health, release progress, and value realization through Agile and program management metrics.

Qualifications

  • Bachelor's or Master's degree in Telecommunications, Information Systems, Computer Science, Engineering, Business, or a related field.
  • 8+ years of program/project management experience, with at least 3 years in telecom, network centric, or technology transformation environments.
  • 3+ years leading enterprise AI/ML or Generative AI initiatives.
  • Experience serving as a Release Train Engineer (RTE), Program Manager, or equivalent leadership role within Agile organizations.
  • Experience managing large scale, cross functional technology transformation programs.
  • Strong understanding of telecom ecosystems, including OSS/BSS, network operations, analytics platforms, and digital transformation initiatives.
  • Demonstrated experience delivering GenAI solutions, including LLM based applications, AI copilots, retrieval augmented generation (RAG), intelligent automation, or enterprise AI platforms.
  • Familiarity with AI governance, AI adoption frameworks, and enterprise AI delivery practices.
  • Strong leadership, communication, facilitation, and executive stakeholder management skills.
  • Experience with Agile, SAFe, Scrum, or hybrid delivery methodologies.
  • PMP, PgMP, SAFe Agilist (SA), SAFe RTE, or equivalent certification preferred.
  • Experience with Azure, AWS, or Google Cloud platforms is highly desirable.

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