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Senior

Sr Project Manager - AI Initiatives

Confirmed live in the last 24 hours

Horace Mann Educators Corporation

Horace Mann Educators Corporation

Remote
Remote
Posted April 20, 2026

Job Description

 

The Senior Project Manager leads multiple complex projects, ensuring delivery aligns with organizational technology standards, business objectives, and user requirements. Operating with limited supervision, this role is responsible for planning, execution, and oversight of projects, including budgets, schedules, resources, and stakeholder communication.

This role also plays a critical part in advancing AI initiatives, ensuring responsible, scalable, and value-driven implementation of artificial intelligence solutions across the organization.

Key Responsibilities

  • Oversee the successful execution of multiple large-scale projects
  • Ensure all IT solutions and services meet company standards and user requirements
  • Define and clarify project scope, goals, and deliverables
  • Develop and maintain detailed project plans and schedules
  • Establish and monitor project budgets
  • Identify, document, and escalate risks, issues, and dependencies
  • Determine project team structure, roles, and responsibilities
  • Lead and motivate cross-functional project teams
  • Coordinate activities across multiple organizational functions
  • Assign work and ensure deliverables are completed according to plan
  • Monitor project progress and adjust plans as needed
  • Prepare and deliver comprehensive project status reports
  • Communicate effectively with project sponsors, stakeholders, and senior leadership
  • Ensure consistent project reporting and governance standards are met

 

 

AI Project Management & Governance 

  • Define and manage project roadmaps for AI initiatives, aligning technical milestones with business value delivery
  • Facilitate intake and prioritization of AI use cases, including feasibility assessment, data readiness, and expected ROI
  • Establish and enforce AI project governance, including documentation standards, model lifecycle management, and auditability
  • Partner with data science, engineering, and business teams to ensure successful deployment and adoption of AI solutions
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