Senior AI & Data Program Manager | Jira-Driven Delivery

Lincoln Financial Group; Radnor (Delaware County); Hybrid; USD 96,900 - 176,200; Full time

Benefits offered by this job

Leadership development opportunities

Financial counseling

Tuition assistance

Flexible work arrangements

Productivity/technology tools

Job summary

Lincoln Financial Group is seeking a Program Manager within the AI PMO to lead complex, cross-functional programs delivering data platforms, AI/ML capabilities, and secure, scalable engineering foundations.

You will translate strategic roadmaps into executable plans, coordinate across AI, Data and Analytics teams, and establish governance with measurable outcomes from discovery to production adoption.

Qualifications

• Bachelor's degree or equivalent work experience in a relevant field.
• 5–7+ years in Project/Program Management aligned with responsibilities.
• Strong understanding of software development, engineering delivery, data platforms, analytics solutions, cloud technologies, or AI/ML implementations.
• Experience using Jira for planning, execution, dependency management, and reporting.

Responsibilities

• Lead end-to-end planning, execution, and delivery of AI, data, and engineering programs, including data platforms and AI/ML solutions.
• Partner with engineers, architects, PMs, data scientists, and stakeholders to define scope and success metrics.
• Translate roadmaps into integrated program plans with milestones, dependencies, and resources.
• Facilitate program rhythms, planning sessions, risk reviews, and executive updates.

Skills

Communication

Facilitation

Stakeholder management

Problem solving

Software development understanding

Education

Bachelor's degree or equivalent

Tools

Jira

Job description

Lincoln Financial Group is seeking a Program Manager within the AI PMO to lead complex, cross-functional programs delivering data platforms, AI/ML capabilities, and secure, scalable engineering foundations.

You will translate strategic roadmaps into executable plans, coordinate across AI, Data and Analytics teams, and establish governance with measurable outcomes from discovery to production adoption.