Data & AI Portfolio Delivery Lead

AEP Service Corporation

United States

On-site

USD 137,000 - 178,000

Full time

5 days ago
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Job summary

American Electric Power (AEP) seeks a Portfolio PMO partner for Data & AI initiatives, coordinating priorities across workstreams, establishing governance, managing demand and investment processes, driving action items, approvals, dependencies, risks, and milestones to closure.

Provide technology leadership across a complex and evolving portfolio, quickly developing an understanding of business objectives, data platforms, AI capabilities, solution architecture, and delivery constraints to

Qualifications

  • Bachelor’s degree in computer science, engineering, business, or related technical field is required (equivalent experience considered).
  • 8+ years of technology experience; 4-6 years of direct supervision experience preferred.

Responsibilities

  • Coordinate priorities across workstreams and establish governance for Data & AI initiatives.
  • Manage demand and investment processes; drive action items, dependencies, risks and milestones to closure.
  • Provide technology leadership to align objectives across technology, business and external partners.
  • Own portfolio financial and commercial management including budgets, forecasts, variance analysis, labor and vendor spend, and contracts.
  • Lead portfolio reporting and executive communications with timely status updates and leadership-level reports.

Skills

Portfolio management
Leadership
Governance
Stakeholder communication

Education

Bachelor’s degree in CS/ENG/Business

Job description

American Electric Power (AEP) seeks a Portfolio PMO partner for Data & AI initiatives, coordinating priorities across workstreams, establishing governance, managing demand and investment processes, driving action items, approvals, dependencies, risks, and milestones to closure.

Provide technology leadership across a complex and evolving portfolio, quickly developing an understanding of business objectives, data platforms, AI capabilities, solution architecture, and delivery constraints to

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