Remote Data Product Engineering Lead

Dynata; United States; Remote; USD 130,000 - 150,000; Full time

Job summary

Dynata is seeking a Data Product Engineering Manager to own the lifecycle of data products built on the lakehouse platform. You will bridge business needs and technical delivery, defining roadmaps, prioritizing requirements, and ensuring trusted, well-documented data assets for analytics, reporting, and AI/ML use cases.

You will partner with business stakeholders and data engineers, manage KPIs, catalog data assets, and drive sprint planning and release management.

Qualifications

• 7+ years in a product management, data management, or analytics role
• 3+ years managing data products in a modern data lakehouse or data warehouse environment
• Strong understanding of data modeling, data lineage, and metadata management
• Experience with Agile/Scrum methodologies and product lifecycle tools (Jira, Confluence)
• Familiarity with BI tools (Tableau, Power BI, Looker) and SQL proficiency
• Excellent stakeholder management and communication skills

Responsibilities

• Define and own the data product roadmap aligned to business priorities and OKRs
• Work with business stakeholders to identify, capture, and prioritize data product requirements
• Develop data product specifications, including schemas, SLAs, access controls, and documentation
• Collaborate with data engineers to ensure timely and quality delivery of data products
• Establish and track KPIs for data product usage, quality, and business value delivered
• Manage the data product catalog and metadata to enable discoverability and self-service
• Lead data product sprint planning, backlog grooming, capacity management, and release management
• Serve as the primary point of contact for data consumers across business domains
• Drive adoption of the data product framework and advocate for data-as-a-product culture
• Coordinate with governance, infosec, and compliance teams to ensure product-level policies are enforced

Skills

Data product management

Stakeholder management

Data governance

Agile/Scrum

Data modeling

Education

Bachelor's degree in Business, CS, IS, or related field

Tools

Jira

Confluence

Tableau

Power BI

Looker

Job description

Dynata is seeking a Data Product Engineering Manager to own the lifecycle of data products built on the lakehouse platform. You will bridge business needs and technical delivery, defining roadmaps, prioritizing requirements, and ensuring trusted, well-documented data assets for analytics, reporting, and AI/ML use cases.

You will partner with business stakeholders and data engineers, manage KPIs, catalog data assets, and drive sprint planning and release management.