AI Delivery Lead - Release Train & Flow Coach

Eliassen Group

Carson City (NV)

Remote

USD 103,000 - 117,000

Full time

5 days ago

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Benefits offered by this job

Medical, Dental, Vision benefits

401(k) with company match

Life insurance

Job summary

Eliassen Group is seeking a Release Train Engineer to own workflow across a program, ensuring work is visible, capacity is protected, blockers are cleared, and business priorities are translated into deliverable epics. You will partner with Product Lead and Technical Lead, leading through coaching and flow expertise.

Responsibilities include running program Kanban, breaking work into epics, surfacing risks, and embedding AI readiness into delivery.

Qualifications

Proven Release Train Engineer or equivalent senior multi-team Agile leadership with measurable improvements in flow, predictability, and quality.
Expertise in Kanban, Scrumban, and Lean flow including WIP limits, cycle time, aging work, and dependency management.
Strong coaching and facilitation skills with the ability to challenge unrealistic commitments and guide trade-offs with senior leaders.
Adaptive approach that scales down large-framework practices to fit small teams and continuous planning.
Working knowledge of AI delivery across data, model evaluation, human review, integration, and monitoring.
Cross-functional leadership experience across business, product, technology, vendors, and risk or controls.
Nice to have: experience in financial services or regulated industries, launching new small teams, multi-vendor coordination, and SAFe RTE, Kanban, or coaching certifications.

Responsibilities

Run the system of work by establishing and improving the program Kanban, WIP limits, and clear readiness and done criteria while avoiding unnecessary ceremonies.
Translate intent into executable work by partnering with product and business leaders to break outcomes into small, testable epics that teams pull based on capacity.
Clear the path by surfacing and resolving risks, dependencies, and blockers across data access, integrations, and review queues.
Embed AI readiness into delivery by planning evaluation, human review, monitoring, and support as first-class work.
Facilitate decisions through planning, syncs, demos, and retrospectives focused on evidence, forecasts, and trade-offs.
Grow team autonomy by coaching leaders and teams to make sound local decisions that reduce reliance on central coordination.