What are the responsibilities and job description for the Delivery Manager – AI Programs position at Resource Logistics Inc.?
Job Title: Delivery Manager – AI Programs
Location: Bolingbrook, IL [Hybrid]
Position: Contract
Skills Matrix
Skill
Last Used
Experience in Years/month
Rating (10 points)
1 = newbie 10 = expert
Hands on Exp.
Yes/No
IT delivery management
AI/ML program delivery
Retail/ E-Commerce domain exp.
Data governance
Note: The candidate must have a minimum of 10 years of overall professional experience, with a strong background in the eCommerce domain.
Job Description:
We are seeking a seasoned Delivery Manager to lead transformation and standardization efforts across AI delivery This role requires a strategic leader with a strong background in Agile delivery, AI/ML program governance, and transformation execution across distributed teams.
Key Responsibilities-
- Lead and drive transformation initiatives across AI delivery teams, focusing on process optimization, tooling standardization, and delivery excellence.
- Define and implement transformation execution criteria, including:
- Baseline assessment of current delivery maturity.
- Identification of key transformation levers (e.g., automation, governance, agile maturity).
- Measurable success metrics (e.g., velocity improvement, defect reduction, cycle time).
- Change management and stakeholder alignment plans.
- Govern AI POD execution, ensuring alignment with Ulta Beauty’s strategic goals and OKRs.
- Collaborate with cross-functional stakeholders including Product, Data Science, Engineering, and Business teams.
- Establish and track KPIs to monitor delivery health and transformation progress.
- Drive continuous improvement in delivery processes, tools, and team capabilities.
- Identify and mitigate delivery risks, dependencies, and blockers.
- Provide leadership and mentorship to delivery teams, fostering a culture of accountability and innovation.
Qualifications-
- 10 years of experience in IT delivery management, with at least 3 years in AI/ML program delivery.
- Proven track record of executing transformation programs across large, distributed teams.
- Strong understanding of AI/ML lifecycle, data governance, and MLOps practices.
- Experience in defining and tracking transformation KPIs and success metrics.
- Excellent stakeholder management and communication skills.
- Experience working with US-based clients in a fast-paced, matrixed environment.