Technical Program Manager Gen AI

Title: Technical Program Manager Gen AI

Location: Hartford, CT (Day 1 onsite role)
Duration: 12+ Months

JD:-

Technical Program Manager AI Center of Enablement Position Overview Seeking a highly skilled and experienced Technical Program Manager for AI Center of Enablement

The ideal candidate will work closely with various departments to manage the execution of proposed AI experiments and use cases

This role involves analyzing the value delivered by AI use cases ensuring architecture reviews are conducted delivery checklists are followed and AI guardrails are met

The Technical Program Manager will play a critical role in driving the successful implementation of AI initiatives across the organization

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

Best regards,

Chandra Mouli

NAM Info Inc

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