Remote Data Product Engineering Lead

Dynata, LLC (Connecticut); Town of Texas (WI); Hybrid; USD 130,000 - 150,000; Full time

Benefits offered by this job

Remote-friendly

Benefits package

Job summary

Dynata, LLC 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 teams to define, prioritize, and deliver trusted data products enabling analytics, reports, and AI/ML use cases.

You will collaborate with stakeholders, engineers, governance, and infosec; drive roadmaps, KPIs, and data catalog management; lead sprint planning and release cycles; promote data-as-a-product culture, and ensure

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.
• Bachelor's degree in Business, Computer Science, Information Systems, or related field.

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 mgmt

Agile/Scrum

Stakeholder management

SQL proficiency

Data modeling

Metadata management

Communication skills

Education

Bachelor's degree

Tools

Jira

Confluence

Tableau

Power BI

Looker

Job description

Dynata, LLC 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 teams to define, prioritize, and deliver trusted data products enabling analytics, reports, and AI/ML use cases.

You will collaborate with stakeholders, engineers, governance, and infosec; drive roadmaps, KPIs, and data catalog management; lead sprint planning and release cycles; promote data-as-a-product culture, and ensure