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Okr Program Manager Jobs (NOW HIRING)

Pattersoncompanies

Strategy Program Manager

Saint Paul, MN · On-site

$101.60K - $140.10K/yr

The Strategy Program Manager is responsible for driving transformation and operational efficiency ... Contribute to creation and execution of strategic plans, OKR's, and departmental goals * Support ...

Bigcommerce

Business Technology Program Manager

Austin, TX · Hybrid

$123K - $180K/yr

The Program Manager, Business Technology will serve as the operational backbone of the Business ... Drive quarterly planning, monthly prioritization and OKR tracking across the team * Develop and own ...

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$38.5K

$107.5K

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How much do okr program manager jobs pay per year?

As of May 31, 2026, the average yearly pay for okr program manager in the United States is $107,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an OKR Program Manager, and why are they important?

To thrive as an OKR Program Manager, you need expertise in goal-setting methodologies (especially OKRs), project management, and strategic planning, often supported by a bachelor's degree in business or a related field. Familiarity with OKR software platforms (like WorkBoard or Gtmhub), project management tools, and data analytics systems is typically required. Exceptional communication, facilitation, and change management skills help drive alignment and engagement across teams. These abilities are crucial for ensuring organizational objectives are clearly defined, tracked, and achieved, leading to measurable business impact.

How does an OKR Program Manager facilitate alignment between different teams during the OKR planning cycle?

An OKR Program Manager plays a crucial role in ensuring that various teams align their objectives and key results with the organization's overall strategy. This often involves organizing cross-functional workshops, providing guidance on best practices for drafting OKRs, and acting as a liaison to resolve conflicting priorities. The manager also helps teams understand how their goals contribute to larger company outcomes and provides ongoing support through regular check-ins and feedback sessions. This collaborative approach fosters transparency, accountability, and a unified direction across the organization.

What are OKR Program Managers?

OKR Program Managers are professionals responsible for implementing and managing the Objectives and Key Results (OKR) framework within an organization. They facilitate alignment of company goals, ensure teams set measurable objectives, and track progress towards these goals. Their role often includes training staff on OKR best practices, coordinating cross-functional collaboration, and driving accountability for outcomes. By doing so, they help organizations maintain focus, transparency, and continuous improvement.
Infographic showing various Okr Program Manager job openings in the United States as of May 2026, with employment types broken down into 5% As Needed, 90% Part Time, 4% Contract, and 1% Nights. Highlights an 90% Physical, and 10% Remote job distribution, with an average salary of $107,460 per year, or $51.7 per hour.
Program Manager - Supply Chain AI

Program Manager - Supply Chain AI

Stellantis

Auburn Hills, MI • On-site

$135.30K/yr

Full-time

Posted 15 days ago

Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 123 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers

Job description

We are building an AI-enabled supply chain that senses, predicts, prescribes, and acts. As the Program Manager for the Supply Chain AI & Automation team, you will drive end-to-end delivery of a portfolio that spans data engineering, data science, agentic AI, RPA, and process mining initiatives.
This role owns the execution engine behind the team: planning and prioritization, stakeholder alignment, delivery governance, risk and dependency management, and transparent reporting. You will operate independently, bring structure to ambiguity, and partner closely with product, engineering, and business leaders to deliver measurable outcomes (cost, service, resilience, and productivity).
Responsibilities include but not limited to:
  • Own end-to-end project delivery for a portfolio of AI and automation initiatives (plan, scope, schedule, budget, risks, and outcomes)
  • Facilitate planning and delivery ceremonies (intake, prioritization, sprint planning, standups, demos, retrospectives)
  • Build and maintain integrated delivery plans that capture milestones, dependencies, and critical path across workstreams
  • Drive cross-functional stakeholder alignment across supply chain operations, IT, data/AI, security, and platform teams
  • Lead business requirements discovery and translate needs into clear epics/stories, acceptance criteria, and measurable outcomes in partnership with product and domain owners
  • Manage risks, issues, and decisions, proactively surface tradeoffs, and drive resolution
  • Establish and run delivery governance (status reporting, KPI/OKR tracking, executive readouts)
  • Coordinate release readiness for production deployments (communications, training, hypercare, and adoption tracking)
  • Drive adoption and value realization: stakeholder readiness, process updates, training enablement, communications, and adoption/KPI tracking post-launch
  • Coordinate model and agent lifecycle activities with data science/AI engineering and platform teams (release gating, monitoring review cadence, retraining triggers, incident response, and rollback plans)
  • Support vendor/partner coordination where applicable (SOW milestones, deliverables, and performance)
  • Continuously improve the team's operating model (templates, playbooks, cadence, and metrics)

Basic Qualifications:
  • Bachelor's degree in Business, Engineering, Computer Science, or a related field
  • 8+ years of professional experience in project/program management delivering data & analytics initiatives
  • Demonstrated ability to operate independently, bring structure to ambiguity, and drive delivery with minimal oversight
  • Experience managing cross-functional delivery across engineering, data/AI, and business stakeholders
  • Strong working knowledge of Agile delivery (Scrum/Kanban), including backlog management and sprint execution
  • Proven skills in dependency management, risk/issue management, and executive-ready status reporting
  • Strong communication and facilitation skills; ability to influence without authority

Preferred Qualifications:
  • Experience delivering AI/analytics, data platform, automation (RPA), or process transformation initiatives
  • Experience in supply chain domains (planning, logistics, manufacturing, procurement) and enterprise systems (ERP/WMS/TMS)
  • PMP, PMI-ACP, CSM/PSM, or SAFe certification
  • Experience with change management and adoption (communications, training, operational readiness)
  • Experience coordinating AI/ML model lifecycle in production (monitoring routines, retraining/revalidation, and controlled rollout/rollback)
  • Experience with portfolio reporting tools (Jira, Azure DevOps, Smartsheet, MS Project, Power BI)

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