5 дней назад
Data Product Owner (AI)
94 400 - 129 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Product Owner (AI) (Data Platforms/Agile): Defining and delivering enterprise data products by translating business needs into requirements, roadmaps, user stories, and acceptance criteria with an accent on data engineering, cloud technologies, analytics ecosystems, and AI-enabled delivery practices. Focus on prioritizing backlogs, documenting data flows and lineage, validating solutions, and aligning stakeholders across product management, architecture, engineering, and business teams.
Location: Bloomington, IL, United States
Base pay: $94,400–$129,800 annually, plus eligibility for a short-term incentive plan.
Company
provides personal and business insurance products, retirement services, and investment services to nearly one million households.
What you will do
- Partner with business stakeholders, product management, architecture, and data engineering teams to define and deliver enterprise data products.
- Translate business objectives, data needs, processes, and success criteria into actionable requirements and delivery outcomes.
- Lead Agile activities including backlog refinement, feature decomposition, sprint planning, user story development, acceptance criteria definition, and solution validation.
- Define data flows, business rules, integration requirements, data quality expectations, and operational processes for modern data platforms and analytics ecosystems.
- Create and maintain requirements, process flows, data mappings, data lineage documentation, feature specifications, and solution documentation.
- Prioritize backlogs, manage product development updates, facilitate stakeholder alignment, and support user acceptance activities.
Requirements
- Typically 7+ years of relevant experience, or an equivalent combination of related experience, education, and training.
- Experience working with business stakeholders, product management, engineering, architecture, and quality engineering teams.
- Experience with Agile or SAFe delivery practices, Scrum collaboration, backlog management, user stories, and acceptance criteria.
- Knowledge of modern data platforms, cloud-based technologies, analytics ecosystems, and data engineering solutions.
- Ability to document data flows, business rules, integrations, data quality expectations, and data lineage.
- Ability to work onsite in Bloomington, Illinois, United States.
Culture & Benefits
- Work in a large insurance and financial services organization with opportunities to make an impact and grow across the business.
- Medical, dental, vision, disability, and life insurance benefits.
- 401(k) plan with company match.
- Equal-opportunity workplace committed to an environment free of discrimination and harassment.
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