Senior Agile Delivery-AI Proprietary Models + AI Hub (P4572)

Senior Agile Delivery – AI Proprietary Models + AI Hub (P4572) Cincinnati, OH; Chicago, IL 84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase. Powered by cutting‑edge science, we utilize first‑party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a customer‑centric journey using 84.51° Insights, 84.51° Loyalty Marketing and Kroger Precision Marketing. 84.51° follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection. Join us at 84.51°! The AI Enablement team is building the AI foundation for 84.51° and Kroger. The team is composed of multiple squads, and we are looking for a Senior Agile Delivery to oversee the AI Proprietary Models + AI Hub group . Our AI Proprietary Models team creates domain specific models and associated services, while our AI Hub team maintains a centralized hub of AI information and capabilities for internal associates. As the SENIOR AGILE DELIVERY , you will orchestrate across three squads, ensuring seamless collaboration, clear visibility, and efficient delivery. You’ll work closely with data scientists, researchers, engineers, and product managers to adapt Agile practices that fit the unique nature of AI and research work. Your focus will be on facilitating cross‑team dependencies, managing delivery logistics, and ensuring teams have what they need to succeed. This role requires exceptional organizational skills, flexibility in approach, and the ability to thrive in an innovative environment.

RESPONSIBILITIES

Facilitate cross‑team dependencies and alignment across three squads (two AI Proprietary Models sub‑squads and one AI Hub squad), ensuring work flows smoothly and blockers are resolved quickly. Adapt and evolve Agile practices to fit the unique workflows of data science, research, and engineering teams, moving beyond traditional sprint‑based approaches where needed. Manage and maintain Jira boards including stories, epics, and initiatives, ensuring clear visibility of progress, priorities, and team health. Report on progress, risks, and blockers to leadership and stakeholders; elevate issues that require intervention. Facilitate team ceremonies including stand‑ups, planning, refinement, and retrospectives, ensuring clear ownership and productive outcomes. Partner with Product Managers to ensure teams are planning the right amount of work and maintaining a sustainable delivery pace. Act as liaison across teams to successfully align work, manage dependencies, and mitigate risks. Reduce friction and remove obstacles that slow down delivery, innovating on ways to make value delivery easier. Champion continuous improvement, helping teams identify and execute on opportunities to enhance their ways of working.

QUALIFICATIONS, SKILLS, AND EXPERIENCE

2‑4 years of experience as an Agile Delivery Lead, Scrum Master, or similar role supporting software engineering or data science teams. Hands‑on experience with Jira for managing backlogs, epics, stories, and reporting. Exceptional organizational skills with proven ability to manage multiple priorities and keep teams aligned. Strong written and verbal communication skills; ability to translate between technical and non‑technical audiences. Understanding of agile principles and practices (Scrum, Kanban) with flexibility to adapt methodologies to fit team needs. Experience working with cross‑functional teams including engineers, data scientists, product managers, and designers. Ability to identify and resolve blockers, manage risks, and elevate appropriately. Comfort with ambiguity and ability to remain resourceful in the face of changing priorities. Certified Scrum Master (CSM or PSM I) preferred. Experience in AI/ML, data science, or research environments a plus. Bachelor’s degree or equivalent experience. Pay Transparency and Benefits The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job‑related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation. Benefits include health, dental, and vision plans; 401(k) with Roth option and matching contribution; Health Savings Account with matching contribution; AD&D and supplemental insurance options; paid time off with flexibility including 5 weeks of vacation, 7 health and wellness days, 3 floating holidays, and 6 company‑paid holidays per year; paid leave for maternity, paternity, and family care instances. Pay Range: $98,000 – $169,050 USD #J-18808-Ljbffr 84.51