Remote Gen AI Transformation Program Leader

Allshore Talent; Santiago; Remote; CLP 24,000,000 - 42,000,000; Full time

Job summary

AllShore Talent is seeking a Principal Program Manager to lead complex enterprise generative AI implementation programs. You will orchestrate multiple workstreams, align business objectives with governance, and drive organizational readiness and user adoption.

The role requires strong program-management discipline, deep AI and enterprise technology knowledge, and the ability to engage senior executives to ensure measurable business outcomes.

Qualifications

• 10+ years of progressive program or project management experience.
• 5+ years of experience managing complex enterprise software, technology, platform, or digital transformation implementations.
• Demonstrated experience leading large, multi-workstream programs involving business, technology, data, security, governance, and organizational change.
• Strong understanding of artificial intelligence and machine-learning technologies, particularly generative AI applications in enterprise environments.
• Experience managing the implementation, integration, adoption, or scaling of AI-enabled products or capabilities.
• Ability to navigate complex technical architectures, system integrations, data ecosystems, and implementation dependencies.
• Understanding of enterprise considerations involving data quality, security, privacy, governance, performance, responsible AI, and production readiness.
• Experience developing and executing organizational change-management and adoption plans.
• Experience establishing program governance, success metrics, reporting, delivery methodologies, documentation standards, and stage gates.
• Experience leading programs using Scrum@Scale, SAFe, Disciplined Agile, LeSS, or a comparable scaled delivery framework.
• Demonstrated ability to manage concurrent workstreams and proactively resolve cross-team dependencies.
• Strong executive presence and the ability to communicate technical progress, risks, decisions, and tradeoffs to non-technical leaders.

Responsibilities

• 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.
• 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.
• Identify cross-program conflicts and influence peripheral teams to prioritize work required for successful program delivery.
• Maintain strong delivery discipline while adapting implementation approaches as client needs and technical capabilities evolve.
• Establish and facilitate cross-functional and cross-program operating cadences.
• Lead program syncs, workstream reviews, governance meetings, steering committee sessions, and executive business reviews.
• Provide clear visibility into program progress, outcomes, risks, dependencies, decisions, and required leadership actions.
• Create executive-level reporting that connects implementation progress to business value and adoption.
• Facilitate decisions and tradeoff discussions involving scope, timing, risk, resources, technical complexity, and organizational readiness.
• Ensure business and technical stakeholders remain aligned on priorities, responsibilities, decisions, and success criteria.
• Communicate upcoming changes and explain their potential impact on users, business processes, technical teams, and customers.
• Define and report metrics covering delivery performance, implementation quality, risk, adoption, operational readiness, and business outcomes.
• Ensure generative AI capabilities are operationalized and adopted rather than simply deployed.
• Partner with change-management and business leaders to identify impacted roles, processes, skills, and operating models.
• Develop adoption strategies that address stakeholder engagement, communications, training, enablement, feedback, and reinforcement.
• Track adoption and usage metrics, identify barriers, and implement corrective actions.
• Establish feedback loops that allow implementation and adoption strategies to evolve based on user needs and program results.
• Support the development of sustainable governance and operating models that remain effective after implementation.

Skills

Program management

Executive communication

Stakeholder management

Strategic leadership

Cross-functional leadership

Risk management

Generative AI

Job description

AllShore Talent is seeking a Principal Program Manager to lead complex enterprise generative AI implementation programs. You will orchestrate multiple workstreams, align business objectives with governance, and drive organizational readiness and user adoption.

The role requires strong program-management discipline, deep AI and enterprise technology knowledge, and the ability to engage senior executives to ensure measurable business outcomes.