Product Engineering Manager (Data Products)

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

The Data Product Engineering Manager o wns the lifecycle of data products built on the lakehouse platform. Acting as the bridge between business consumers and technical teams, this role drives the definition, prioritization, and delivery of trusted, well-documented data products that enable analytics, reporting, and AI/ML use cases.KEY 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 enforcedREQUIRED 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 fieldPREFERRED QUALIFICATIONS Experience with DataHub , Apache Atlas, or Alation for data cataloging Knowledge of data mesh and domain-oriented data ownership models Certifications : CDMP, PMP, or Agile Product OwnerAt Dynata, we deliver the highest quality first-party data to help businesses around the world gain precise insights, activate the right audiences, and confidently measure impact. With industry-leading respondent accuracy, reliability, and a commitment to continuous improvement, Dynata is the trusted foundation for smarter decision-making.At Dynata, we are committed to creating an inclusive and accessible environment where every employee and customer feels valued, respected, and supported. We strive to build a workforce that reflects the diversity of the communities we serve. Dynata welcomes and encourages applications from individuals with disabilities and is dedicated to fostering a work culture that supports everyone. Accommodations are available upon request for all aspects of the selection process.Dynata is an Equal Opportunity Employer. We consider all qualified applicants and employees without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, marital status, age, disability, genetic information, veteran status, or any other legally protected status under applicable laws.The base salary range for this position in is $130K-$150K/yr; however, base pay offered may vary depending on location, job-related knowledge, skills, and experience. A discretionary incentive program may be provided as part of the compensation package, in addition to a full range of medical and other benefits, dependent on full-time employment status.#LI-Remote