This is a Job Description for an Al and Data Portfolio Lead in Jackson, Mississippi

Summary:

The AI and Data Portfolio Lead is part of the global TDS PMO organization and reports into the Head of the Technology PMO. The AI and data portfolio lead will be responsible for overseeing the development and delivery of AI and data solutions across our organization. You will work closely with other senior leaders to define the vision, strategy, governance and roadmap for AI and data initiatives. This role is also responsible for managing and mentoring a team of project professionals to deliver the technology programs and projects. This is a player-coach role, and therefore the Portfolio Lead may also manage specific major projects as assigned.

Duties & Responsibilities:

 Develop and maintain a comprehensive roadmap and portfolio of the organization's AI and data projects and products, aligning them with the organization's strategic goals and priorities. Support operating model design, suggesting and implementing improvements. Collaborate with leadership to define and prioritize projects in the portfolio. Manage and execute planning, scheduling, resource requirements and dependencies for the portfolio. Utilize project management tools and methodologies to monitor and control project activities for all projects in the portfolio, tracking project progress, milestones, and deliverables.

  Provide reporting and analytics including Portfolio, Program and Project Status, and Resource Demand Management. Manage and report risks and issues to projects in the portfolio. Report Portfolio financials including budget, forecast and actuals. Produce regular Portfolio status reports using standard documentation and tools, ensuring inclusion of timely and accurate information.

Requirements

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: At least 10 years of experience in leading and managing data projects and teams. 4-6 years of experience in leading and managing AI projects and teams, preferably in a data-driven environment. Blend of experience across business operations and technology, including support of enterprise technology change management. Strategic and analytical thinking, with the ability to translate business problems and opportunities into AI and data solutions. Leadership and management skills, with the ability to inspire, motivate, and develop a diverse and talented team.

Equal Opportunity/Affirmative Action Employer.