IT Program Manager

Description

• Lead endtoend deployment of Agentic AI systems including AI agents ML workflows experimentation rollout monitoring and adoption.
• Orchestrate the ML lifecycle: data pipelines model training evaluation deployment observability and continuous improvement.
• Establish and enforce AI governance and guardrails including reliability bias/fairness checks escalation paths and humanintheloop controls.
• Coordinate AI and ML integrations with enterprise systems APIs and data platforms.

• Own fulllifecycle ERP implementations including business process alignment data migration integrations SIT/UAT cutover and hypercare.
• Plan and execute complex data migrations ensuring data quality validation and minimal business disruption.
• Drive integration testing and release readiness across ERP downstream/upstream systems and analytics platforms.
• Lead golive cutover execution and postlaunch stabilization.

• Drive Agile/Scrum delivery across multiple engineering teams facilitating planning execution retrospectives and continuous delivery.
• Orchestrate multiteam software releases managing dependencies integration points and release readiness.
• Champion CI/CD and DevOps practices to improve release velocity reliability and quality.

• Own endtoend program execution including scope schedule risks dependencies and outcomes.
• Lead without formal authority influencing highly technical and business stakeholders through credibility and datadriven decisions.
• Provide clear executivelevel communication; translate technical complexity into business impact.
• Enforce SDLC governance quality standards and risk management practices.

• 7 years leading complex technical programs across software data/AI or enterprise systems.
• Demonstrated delivery of AI/ML deployments and/or ERP implementations in production environments.
• Strong SDLC and Agile/Scrum execution experience including multiteam coordination.
• Technical credibility with the ability to engage engineers and data scientists on architecture APIs data flows and integrations.
• Proven experience managing dependencies and risks across crossfunctional teams and vendors.
• Strong stakeholder leadership and executivelevel communication skills.
• Bachelors degree in a technical field or equivalent practical experience.

• Experience with Agentic AI autonomous agents LLMbased systems and responsible AI practices.
• Deep ERP HCM or CRM platform experience (e.g. IFS Vista Viewpoint SAP Microsoft Dynamics Workday Dayforce Infor SFDC).
• Cloudnative architecture CI/CD DevOps or SRE experience.
• Data engineering analytics or ML platform exposure.
• Relevant certifications (PMP PMIACP CSM SAFe AI/ML certifications).

• Delivery predictability: 90% milestone predictability; <5% budget variance.
• Quality: <5% critical defect leakage; stable AI/ML performance in production.
• Adoption and impact: Measurable business value from AI agents and ERP releases.
• Stakeholder trust: High satisfaction scores; no surprise escalations.
• Operational excellence: Improved velocity cycle time and release reliability.

• Lead standups with AI/ML ERP and software teams; remove blockers and reprioritize work.
• Facilitate crossteam integration and architecture reviews.
• Deliver concise program updates to executives with risks and options.
• Run AI or ERP golive war rooms and postincident reviews.
• Coordinate vendors against SOWs and delivery commitments.
• Improve CI/CD pipelines testing strategies or release processes.

RK Industries LLC is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability protected veteran status or any other status protected by applicable law