Data Product Owner: Cloud Data Modernization (Remote)

The Hartford

Naperville (IL)

Hybrid

USD 100,000 - 150,000

Full time

41 hours ago

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Job summary

The Hartford in Naperville, IL, is seeking a Data Product Owner to translate business intent into valuable data products within an Agile team. You will manage backlogs, write user stories with acceptance criteria, and partner with engineers, architects, and data specialists to deliver cloud-based data capabilities that power analytics and decisions.

Hybrid or remote work is available, with collaboration across business and technology partners to align on data definitions, adoption, and

Qualifications

2+ years of experience in a product owner, business analyst, digital, technology, or related role.
Familiarity with Agile frameworks (SAFe, Scrum, Kanban, XP) and tools such as JIRA, Rally, and Microsoft products.
Understanding of data concepts such as data flows, data products, analytics, reporting, and cloud-based data platforms.
Growth mindset, curiosity, and ability to manage multiple priorities and deliver results.
Strong collaboration and influencing skills across business, technology, and data teams.
Excellent written and verbal communication; ability to tailor messages to diverse audiences.
Hybrid or Remote work arrangement with some office days.

Responsibilities

Lead day-to-day agile product execution for one or more agile teams supporting Data Modernization initiatives.
Translate data product vision into sprint goals, prioritized stories, and measurable outcomes.
Manage the data product backlog with clarity, readiness, and alignment to business value.
Break down features into user stories with acceptance criteria and definition of done.
Partner with engineering and architecture to deliver cloud-based data products and capabilities.
Identify opportunities related to data quality, accessibility, usability, and scalability.
Accept completed stories and validate that delivered solutions meet expectations and create business value.
Be the voice of the customer and align priorities with stakeholders.
Define data product requirements, success measures, and adoption goals.
Maintain product documentation with data definitions and requirements.
Align to OKRs and modernization objectives.