Technical Program Manager

TEKsystems•Berwyn, IL

3d•$106,200 - $159,200•Remote

About The Position

The Technical Program Manager (TPM) is responsible for driving end-to-end delivery of complex programs and projects, ensuring alignment between business objectives, architecture, and engineering execution. This role combines program and project management, Agile leadership, and technical expertise in Cloud and AI-driven solutions to deliver high-quality, predictable outcomes. The TPM serves as the single point of accountability for delivery, owning outcomes, mitigating risks, and ensuring successful execution across multiple teams. The role also functions as a Lead Scrum Master, coaching teams and driving Agile maturity across engagements.

Requirements

10 or more years of experience in IT delivery, program management, or technical project management
5 or more years of experience in one or more roles: Technical Program Manager / Agile Program Manager / Lead Scrum Master
Experience managing complex, multi-team programs and projects
Strong knowledge of: Agile frameworks (Scrum, SAFe, Kanban, XP), Program and Project Management best practices, Cloud computing platforms (AWS, Azure, GCP), AI/ML concepts and enterprise adoption use cases
Proficient in Jira, Azure DevOps, or similar tools
Experience working in distributed, multi-stream environments

Nice To Haves

PgMP, PMP, RTE, APM, AI/ML and cloud certification can be an asset
Strong leadership and stakeholder management skills
Excellent communication and executive reporting capabilities
Strong analytical and problem-solving skills
Ability to manage multiple priorities in a complex environment
Strong organizational and time management skills
Fast learner with a proactive mindset, especially in emerging tech (AI & Cloud)

Responsibilities

Lead and manage large-scale programs consisting of multiple projects and workstreams
Own program roadmap, milestones, deliverables, and success metrics
Manage full project lifecycle: initiation, planning, execution, and closure
Define and manage scope, schedule, risks, and dependencies
Maintain RAID logs (Risks, Assumptions, Issues, Dependencies)
Drive execution against SOWs and delivery commitments
Track program performance using KPIs/OKRs and ensure value realization against business objectives
Establish and govern delivery frameworks, reporting cadence, and escalation models
Ensure alignment across teams on timelines, deliverables, and priorities
Collaborate with architects and engineering teams to deliver scalable solutions
Support adoption of AI/GenAI use cases (e.g., intelligent automation, copilots, decision systems)
Work closely with data and platform teams on data architecture, pipelines, and governance
Ensure alignment with modern technology practices: Cloud platforms (AWS, Azure, GCP), Microservices and API-driven architecture, DevOps and CI/CD pipelines
Drive and support integration and delivery of AI/ML-based capabilities, including: Data-driven platforms and analytics solutions, AI-enabled automation and intelligent workflows, Integration of AI services into enterprise applications
Identify and mitigate technical risks, performance bottlenecks, and integration challenges with team
Drive cross-team Agile coordination and dependency management (Scrum of Scrums / ART level)
Coach Scrum Masters, Product Owners, Business Analysts, and teams on Agile principles and frameworks
Facilitate Agile Events: Sprint Planning, Stand-ups, Reviews, Retrospectives, PI Planning and Release Planning, Estimation sessions
Remove impediments and escalate issues as appropriate
Drive alignment across teams on PI objectives, dependencies, and delivery commitments
Foster self-organizing teams and strong Agile culture
Enable backlog management and prioritization discipline
Ensure transparency through dashboards, metrics, and reporting
Act as the primary interface for stakeholders and leadership
Provide regular updates on program and project status, risks, and outcomes
Establish governance frameworks, reporting cadence, and communication plans
Align business priorities with delivery execution
Provide leadership and mentorship to Scrum Masters, Project Managers, and engineering teams
Foster collaboration, accountability, and high-performing teams
Support hiring, onboarding, and capability development
Promote continuous learning culture around Agile, Cloud, and AI