Technical Program Manager - AI Center

Key Responsibilities:

AI Use Case Analysis:

• Analyze the value delivered by AI use cases, assessing both quantitative and qualitative benefits.

• Work with finance controllers to validate the financial value calculations of AI use cases.

• Provide regular reports and updates to stakeholders on the performance and outcomes of AI projects.

Architecture Review:

• Ensure that all AI projects undergo thorough architecture reviews to validate technical feasibility and alignment with best practices.

• Collaborate with architects and technical leads to identify and address potential risks and challenges in AI implementations.

• Maintain documentation of architecture review findings and recommendations for continuous improvement.

Delivery Management:

• Oversee the execution and delivery of AI projects, ensuring adherence to project timelines, budgets, and quality standards.

• Implement and enforce delivery checklists to ensure all critical steps and requirements are met.

• Coordinate with cross-functional teams, including data scientists, engineers, and product managers, to ensure successful project delivery.

AI Governance:

• Ensure that all AI projects comply with established AI guardrails, including ethical guidelines, data privacy, and security standards.

• Implement monitoring and auditing mechanisms to track compliance with AI governance policies.

• Develop and maintain documentation for AI governance, including model validation, testing, and deployment protocols.

AI Model Capacity Management:

• Manage the capacity and scalability of AI models to ensure optimal performance and resource utilization.

• Monitor and forecast AI model capacity needs, adjusting as necessary to meet project demands.

• Collaborate with infrastructure and operations teams to ensure the AI platform can support current and future model requirements.

Stakeholder Collaboration:

• Facilitate effective communication and collaboration among cross-functional teams and stakeholders.

• Conduct regular meetings and workshops to gather feedback, address concerns, and ensure alignment on project goals and priorities.

• Act as a liaison between business units and technical teams, translating business requirements into technical specifications.

Continuous Improvement:

• Identify opportunities for process improvements and efficiencies in AI project management and delivery.

• Stay up to date with the latest advancements in AI technology and best practices, continuously seeking ways to enhance the AI Center of Enablement.

• Foster a culture of innovation and continuous learning within the team, encouraging the exploration of new technologies and methodologies.

Value Calculation & Financial Validation:

• Collaborate with finance controllers to validate the financial value calculations of AI use cases.

• Ensure accurate and transparent reporting of the financial impact of AI projects.