- Страна
- США
- Зарплата
- 98 000 $ – 169 050 $
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Senior Agile Delivery-AI Proprietary Models + AI Hub (P4572)
Сильная компания с огромным массивом данных (Kroger), конкурентная зарплата и четкие бонусы. Минусом для некоторых может стать обязательный 5-дневный офисный график.
Сложность вакансии
Роль требует высокого уровня организационных навыков и умения адаптировать Agile под специфику Data Science, что сложнее стандартной разработки. Необходим опыт управления зависимостями между несколькими командами одновременно.
Анализ зарплаты
Предложенный диапазон ($98k – $169k) полностью соответствует рыночным ожиданиям для Senior Agile ролей в США, особенно с учетом специализации на AI. Верхняя граница диапазона выше медианы, что делает предложение привлекательным для опытных специалистов.
Сопроводительное письмо
I am writing to express my interest in the Senior Agile Delivery position for the AI Proprietary Models and AI Hub teams at 84.51°. With a strong background in facilitating cross-functional squads and a deep understanding of the unique challenges inherent in data science and AI workflows, I am confident in my ability to streamline delivery and foster a culture of continuous improvement within your AI Enablement group.
In my previous roles, I have successfully adapted traditional Agile methodologies to suit the iterative and research-heavy nature of machine learning projects. I am particularly drawn to this opportunity because of 84.51°'s commitment to using first-party retail data at scale. My expertise in Jira management, dependency mapping, and stakeholder communication aligns perfectly with your need for an orchestrator who can manage three distinct squads while ensuring transparency and efficiency.
I am excited about the prospect of bringing my organizational skills and passion for AI enablement to your team in Cincinnati or Chicago. Thank you for considering my application. I look forward to the possibility of discussing how my experience can contribute to the success of Kroger’s AI foundation.
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Описание вакансии
84.51° Overview:
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 more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, 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 AI Enablement 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'll be the orchestrator 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; escalate 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 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 escalate 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
#LI-EB1
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.
- Below is a list of some of the benefits we offer our associates:
- Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.
- Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.
- Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.
Pay Range
$98,000—$169,050 USD
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Навыки
- Agile
- Scrum
- Kanban
- Jira
- Data Science
- Machine Learning
- Project Management
- Stakeholder Management
Возможные вопросы на собеседовании
Вакансия подразумевает работу с AI и исследовательскими командами, где циклы разработки менее предсказуемы.
Как вы адаптируете стандартные Agile-практики (например, Scrum) для команд Data Science, где задачи часто носят исследовательский характер и трудно поддаются оценке?
Кандидату предстоит координировать работу трех разных команд.
Опишите ваш опыт управления зависимостями между несколькими командами. Как вы обеспечиваете синхронизацию, если одна команда блокирует работу другой?
В описании указано использование Jira для отчетности и управления бэклогом.
Какие метрики в Jira вы считаете наиболее полезными для отслеживания здоровья команды и прогресса в AI-проектах?
Роль требует тесного взаимодействия с Product Managers и инженерами.
Расскажите о случае, когда вам пришлось разрешать конфликт приоритетов между требованиями продукта и техническими ограничениями команды.
Работа в инновационной среде часто связана с неопределенностью.
Как вы справляетесь с ситуациями, когда приоритеты бизнеса резко меняются в середине цикла поставки?
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- Страна
- США
- Зарплата
- 98 000 $ – 169 050 $