Generative AI Program Manager

Das ist der Job

Identifies risks to program success and recommends mitigation plans to management.

Darum lohnt es sich

Manages the innovative Global GenAI Program, by overseeing program management, projects execution, and teams’ coordination. Ensures the correct application of the SCRUM process and that each SCRUM team member has the resources and information needed for success.

Manages project delivery process, scope, and costs of complex product development projects with limited supervision; drives completion of the project and mentors other team members. Coaches the team on Scrum and Agile best practices.

Partners with security, legal, and compliance teams to ensure use-cases meet applicable data-governance and regulatory requirements. A high-level, conceptual understanding of Generative AI to engage credibly with engineering and data science teams and to reason about dependencies, risks, and trade-offs.

Job Overview Assists in creation and validation of the project scope, plan and schedules for complex projects and programs; helps define metrics for project success; selects and applies standards (e.g. delivery process, roles and responsibilities, operational norms, compliance).

Essential Functions Assists in creation and validation of the project scope, plan and schedules for complex projects and programs; helps define metrics for project success; selects and applies standards (e.g. delivery process, roles and responsibilities, operational norms, compliance).

Establishes relationships with stakeholders to build support and ensures alignment for project outcomes. Drives change by identifying impacts of the project, building awareness and support for change within the organization, and contributing to development of training.

Evaluates project results against success metrics; creates or reengineers processes and resources to improve productivity and end product. GenAI-related Responsibilities Manages GenAI-specific delivery gates, including solution evaluation and human review, before use-cases are promoted to production.

Tracks and mitigates GenAI-specific risks, including output accuracy, data privacy, model dependency, and usage cost. Qualifications Bachelor’s Degree in Computer Science, a related field, or equivalent experience. Demonstrated program/project management experience delivering software.

Practical experience and deep understanding of Agile methodologies: Kanban, Scrum, SAFe. GenAI Concepts (High-Level) To successfully manage GenAI-enabled programs, familiarity with the following concepts is expected: How GenAI and LLMs work High-level understanding of what a large language model (LLM) is and how it works.

Awareness of what LLMs are good at and their limitations. What AI agents are Understanding of what an AI agent is. Conceptual awareness of how agents are coordinated and supported by harnesses. Quality, risk, and responsible use Awareness of how GenAI outputs are checked for quality. Understanding of the common risks to manage in delivery.

General awareness of responsible AI principles and relevant data privacy and AI regulations. #J-18808-Ljbffr