Job Description
Description
RK Industries | Denver, CO (Hybrid)
RK Company Overview
- 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.
- 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.
- 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).
- 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 “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.
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
