Principal Program Manager - Generative AI Implementation (100% Remote)
- Salary not listed
- Remote-friendly · fits your timezone
- Posted yesterday · via Himalayas
Full Description
About AllShore TalentAllShore Talent partners with growing organizations to build high-performing technology and consulting teams. About AllShore Talent AllShore Talent partners with growing organizations to build high-performing technology and consulting teams. We connect skilled professionals with meaningful, long-term engagements across web technologies, digital experience platforms, and enterprise software delivery — offering competitive compensation, flexible engagement models, and a collaborative, remote-friendly culture. About the Role The Principal Program Manager is responsible for executing complex enterprise generative AI implementation programs with discipline, urgency, and measurable results. This individual will orchestrate multiple integrated workstreams, ensuring that technical implementation, business objectives, governance, organizational readiness, and user adoption remain aligned throughout the program. The Principal Program Manager will establish the operating structure required to move programs forward, proactively address risks and dependencies, and ensure that new capabilities become embedded within the client’s organization. This is not a traditional project coordination or status-reporting position. The Principal Program Manager must be capable of leading large-scale enterprise software implementations, driving accountability across teams, navigating complex technical and organizational environments, and communicating effectively with senior executives. The successful candidate will combine strong program-management discipline with an understanding of generative AI, enterprise technology, data, security, governance, and organizational change. Key Responsibilities Strategic Implementation Leadership Lead large-scale enterprise generative AI implementation programs from planning through deployment, adoption, and ongoing optimization. Translate business objectives and technical requirements into an integrated implementation strategy, program roadmap, and measurable delivery plan. Develop comprehensive adoption plans addressing organizational change, communications, training, skill development, process redesign, and user readiness. Establish governance models, decision-making structures, success metrics, and scalable roadmaps for embedding generative AI capabilities throughout client organizations. Ensure implementation decisions remain aligned with business outcomes, technical feasibility, security requirements, governance standards, and responsible AI practices. Partner with business, technology, data, security, legal, compliance, and change-management leaders to resolve issues and maintain alignment. Help clients move from experimentation and isolated use cases to scalable, repeatable, and governed enterprise AI capabilities. Program Management Excellence Lead cross-functional teams of consultants, engineers, architects, data professionals, change-management leaders, and subject matter experts. Manage multiple concurrent workstreams while maintaining visibility into integration points, critical dependencies, milestones, risks, and decisions. Establish the program structure, execution methodology, documentation standards, controls, and stage gates required for predictable delivery. Develop and maintain integrated program plans covering scope, schedule, resources, dependencies, milestones, risks, decisions, and business outcomes. Drive accountability across teams by assigning clear ownership, monitoring commitments, escalating obstacles, and ensuring timely resolution. Create and operationalize risk-mitigation strategies addressing technical, organizational, data, security, governance, adoption, and delivery challenges. Ensure required documentation, approvals, quality controls, and governance checkpoints are completed throughout the implementation. Monitor program health and proactively adjust plans based on emerging business needs, technical constraints, implementation findings, and adoption results.
Why This Role?
Kamu akan bekerja di lingkungan yang kolaboratif dan ramah remote, dengan kompensasi yang kompetitif dan model kerja yang fleksibel.
Key Responsibilities
- Mengelola program implementasi AI generatif dari awal perencanaan hingga pengoptimalan
- Menerjemahkan tujuan bisnis dan persyaratan teknis menjadi strategi implementasi yang terintegrasi
- Membangun rencana adopsi yang komprehensif untuk perubahan organisasi, komunikasi, pelatihan, dan persiapan pengguna
Requirements
- Pengalaman dalam mengelola implementasi perangkat lunak enterprise skala besar
- Kemampuan untuk memimpin tim dan mengarahkan tanggung jawab di berbagai tim
- Paham tentang AI generatif, teknologi enterprise, data, keamanan, dan perubahan organisasi
Required Skills
Indonesia Context
- Working Hours Overlap:
- Flexible — work your own hours
View Original Description from HimalayasShow more
Original description from Himalayas
About AllShore TalentAllShore Talent partners with growing organizations to build high-performing technology and consulting teams. About AllShore Talent AllShore Talent partners with growing organizations to build high-performing technology and consulting teams. We connect skilled professionals with meaningful, long-term engagements across web technologies, digital experience platforms, and enterprise software delivery — offering competitive compensation, flexible engagement models, and a collaborative, remote-friendly culture. About the Role The Principal Program Manager is responsible for executing complex enterprise generative AI implementation programs with discipline, urgency, and measurable results. This individual will orchestrate multiple integrated workstreams, ensuring that technical implementation, business objectives, governance, organizational readiness, and user adoption remain aligned throughout the program. The Principal Program Manager will establish the operating structure required to move programs forward, proactively address risks and dependencies, and ensure that new capabilities become embedded within the client’s organization. This is not a traditional project coordination or status-reporting position. The Principal Program Manager must be capable of leading large-scale enterprise software implementations, driving accountability across teams, navigating complex technical and organizational environments, and communicating effectively with senior executives. The successful candidate will combine strong program-management discipline with an understanding of generative AI, enterprise technology, data, security, governance, and organizational change. Key Responsibilities Strategic Implementation Leadership Lead large-scale enterprise generative AI implementation programs from planning through deployment, adoption, and ongoing optimization. Translate business objectives and technical requirements into an integrated implementation strategy, program roadmap, and measurable delivery plan. Develop comprehensive adoption plans addressing organizational change, communications, training, skill development, process redesign, and user readiness. Establish governance models, decision-making structures, success metrics, and scalable roadmaps for embedding generative AI capabilities throughout client organizations. Ensure implementation decisions remain aligned with business outcomes, technical feasibility, security requirements, governance standards, and responsible AI practices. Partner with business, technology, data, security, legal, compliance, and change-management leaders to resolve issues and maintain alignment. Help clients move from experimentation and isolated use cases to scalable, repeatable, and governed enterprise AI capabilities. Program Management Excellence Lead cross-functional teams of consultants, engineers, architects, data professionals, change-management leaders, and subject matter experts. Manage multiple concurrent workstreams while maintaining visibility into integration points, critical dependencies, milestones, risks, and decisions. Establish the program structure, execution methodology, documentation standards, controls, and stage gates required for predictable delivery. Develop and maintain integrated program plans covering scope, schedule, resources, dependencies, milestones, risks, decisions, and business outcomes. Drive accountability across teams by assigning clear ownership, monitoring commitments, escalating obstacles, and ensuring timely resolution. Create and operationalize risk-mitigation strategies addressing technical, organizational, data, security, governance, adoption, and delivery challenges. Ensure required documentation, approvals, quality controls, and governance checkpoints are completed throughout the implementation. Monitor program health and proactively adjust plans based on emerging business needs, technical constraints, implementation findings, and adoption results.
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