IT Program Manager

RK Industries•Denver, CO

1d•Hybrid

About The Position

RK Industries is hiring a Senior Technical Program Manager (TPM) to lead delivery of complex, high‑impact technology programs across Agentic AI, ERP implementations, and modern software/AI delivery. This is a tech‑company‑style TPM role, not a traditional project manager. In this role, you will own end‑to‑end execution of cross‑functional technical programs involving engineering, data science, product owner, IT, security, vendors, and business stakeholders. You will drive Agentic AI deployment (AI agents, ML workflows), enterprise platform implementations (ERP and integrations), and software delivery across the SDLC using Agile/Scrum or Hybrid models. Success requires strong technical depth, systems thinking, delivery leadership, and the ability to operate with Ownership, Bias for Action, Earn Trust, Dive Deep, and Disagree and Commit in high‑stakes environments.

Requirements

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 cross‑functional teams and vendors.
Strong stakeholder leadership and executive‑level communication skills.
Bachelor’s degree in a technical field or equivalent practical experience.

Nice To Haves

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

Responsibilities

Lead end‑to‑end 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 human‑in‑the‑loop controls.
Coordinate AI and ML integrations with enterprise systems, APIs, and data platforms.
Own full‑lifecycle 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 go‑live cutover execution and post‑launch stabilization.
Drive Agile/Scrum delivery across multiple engineering teams, facilitating planning, execution, retrospectives, and continuous delivery.
Orchestrate multi‑team software releases, managing dependencies, integration points, and release readiness.
Champion CI/CD and DevOps practices to improve release velocity, reliability, and quality.
Own end‑to‑end program execution, including scope, schedule, risks, dependencies, and outcomes.
Lead without formal authority, influencing highly technical and business stakeholders through credibility and data‑driven decisions.
Provide clear, executive‑level communication; translate technical complexity into business impact.
Enforce SDLC governance, quality standards, and risk management practices.
Lead “stand‑ups” with AI/ML, ERP, and software teams; remove blockers and reprioritize work.
Facilitate cross‑team integration and architecture reviews.
Deliver concise program updates to executives with risks and options.
Run AI or ERP go‑live war rooms and post‑incident reviews.
Coordinate vendors against SOWs and delivery commitments.
Improve CI/CD pipelines, testing strategies, or release processes.