Coordinate the end-to-end lifecycle of data products for internal and external use in Boston or New York. Partner across product, engineering, governance, and client delivery teams to manage intake through certification, documentation, and adoption. The role requires a bachelor's degree and experience in data product management, governance, or business analysis within complex organizations, plus familiarity with tools like Collibra, JIRA, Power BI, or Snowflake.
Written from this posting by Neural Jobs AI. The full description is below.
We’re seeking a future team member for the role of Senior Specialist, Product Owner to join our Data & Analytics team. This role is located in Boston, MA or New York, NY.
The Senior Specialist will help turn enterprise data into trusted, reusable, and client-consumable data products. The role will coordinate across Product, Engineering, Data Governance, Operations, and Client Delivery teams to support the full data-product lifecycle, from intake and prioritization through certification, documentation, delivery, adoption, and ongoing change management.
The successful candidate will combine strong data-management knowledge with practical execution skills. They will help establish clear operating standards, bring visibility to cross-team dependencies, and ensure data products are governed, documented, and ready for use by internal and external consumers.
In this role, you will make an impact in the following ways:
Coordinate the end-to-end onboarding and enablement of data products, including intake, scope definition, ownership alignment, metadata readiness, governance review, certification, provisioning, testing, documentation, and release readiness.
Partner across Product, Engineering, Data Governance, Operations, Platform, and Client Delivery teams to define responsibilities, manage dependencies, align sequencing, and clarify decision and escalation paths.
Develop and maintain reusable operating standards, playbooks, data dictionaries, process flows, decision records, and stakeholder-facing documentation to improve consistency and reduce reliance on manual or informal knowledge.
Drive adoption of scalable delivery patterns by helping teams move from one-off solutions toward reusable data models, governed provisioning approaches, and standardized platform capabilities.
Apply product management discipline, data fluency, and stakeholder feedback to inform roadmap priorities, measure value delivery, and continuously improve data capabilities that support decision-making, operational efficiency, and strategic outcomes.
To be successful in this role, we're seeking the following:
Bachelor’s degree or equivalent experience in data management, information systems, business analysis, finance, technology, or a related discipline.
Relevant experience in data product management, data governance, business analysis, technology delivery, or a related field within a complex organization.
Experience coordinating initiatives across business, product, engineering, governance, operations, and client-facing teams.
Experience working with tools that support workflow, metadata, reporting, and collaboration, such as Collibra, JIRA, Power BI, Snowflake, SharePoint, or similar platforms.
Practical knowledge of data-governance concepts, including metadata, data lineage, data quality, authoritative data, stewardship, ownership, controls, data contracts, and certification.
Experience with cloud data platforms, semantic models, knowledge graphs, data marketplaces, APIs, or AI-ready data practices is a plus.
Our estimate — this employer did not publish a salary
Our estimate, not the employer’s. Worked out from the middle half of 74 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
Eligibility
United States
Right to work in the United States required.