An Analytics Product Manager is responsible for managing a strategy to develop and/or sell analytical services or analytics products. May involve planning and assisting in the development, marketing and distribution of the product.
Data Product Engineering Dynata - 3.0 Westport, CT Job Details Full-time $140,000 - $160,000 a year 2 hours ago Benefits Health insurance Qualifications Data model design Data visualization software proficiency Data lake Data modeling projects Agile scheduling Schema design SQL Bachelor's degree Scrum Digital project management boards Defect tracking tools Project stakeholder communication Stakeholder relationship building Data analytics technologies Metadata management Technical product management experience within tech Agile planning Stakeholder management Database software proficiency Full Job Description The Data Product Engineer 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 enforced
REQUIRED 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
PREFERRED 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 Owner At 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 $140K-$160K/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.
