Head of Technical Programme Management

Purple DriveTechnical Program Manager - AI Center Share Contractual Bloomfield, CTOverview: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.