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Digital Product Manager

Job in Wilmington, Middlesex County, Massachusetts, 01887, USA
Listing for: Analog Devices
Full Time position
Listed on 2026-03-06
Job specializations:
  • IT/Tech
    Data Analyst, IT Consultant, IT Business Analyst
  • Business
    Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $12 billion in FY23 and approximately 26,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible.

Learn more at  and on Linked In.

Role Overview

The Digital Product Manager will be responsible for developing and managing taxonomies across the enterprise to enhance product data, content organization, retrieval, and governance. This role will support product data governance by collaborating with key business unit stakeholders and report into the Digital Content Operations lead to ensure consistent classification and attribution across products and content, supporting multiple business objectives. Ideally this person will have several years of experience in the semiconductor industry, specifically in product taxonomy and data management.

Areas

of Responsibility
  • Maintain and develop the newly established product taxonomy and navigation hierarchy to improve product data and content management and reuse in collaboration with leadership, stakeholders, and business units to ensure that both hierarchies align with organizational goals and improve customer experience.
  • Conduct regular assessments of user behavior and search metrics to identify where and how to improve the product taxonomy.
  • Stay updated on industry trends and advancements in taxonomy, information architecture, and artificial intelligence.
  • Champion the value of product taxonomy adoption across the organization, providing guidance and training on taxonomy best practices and standards.
  • Facilitate interconnectivity between taxonomy management platform (TMP) and consuming systems, including but not limited to content management systems and the product information management system.
Navigation and Information Architecture
  • Collaborate with leadership, stakeholders, and business units to develop and maintain an enterprise-wide information architecture strategy for  that supports business goals and improves user experience.
  • Work with ADI IT to implement changes to navigation and/or information architecture, including requirements creation, documentation, and testing.
  • Collaborate with the User Research Team to identify where and how to improve product navigation and information architecture on
  • Conduct regular audits of user behavior and search metrics to identify opportunities for improvement of product navigation and information architecture on
Governance of Taxonomy, Navigation, and IA
  • Create and maintain policies and procedures that ensure proper governance and maintenance of product hierarchies, information architecture, and navigation on
  • Lead and coordinate the Governance Committee to assess, approve, and implement changes to the taxonomy, information architecture, and navigation, setting the agenda and ensuring input from all appropriate business units, stakeholders, and subject matter experts.
Product Data Governance
  • Oversee product data governance, including data quality, data management, policies, and documentation.
  • Work with system owners to determine the best source of truth for product data and collaborate with Central Data Office to ensure governance in these source systems.
  • Advise stakeholders and data stewards on potential data issues so they may be resolved.
  • Collaborate with business subject matter experts to establish data business rules, ensure data quality, and resolve data‑related issues.
Qualifications
  • Background in product information management or a related field preferred.
  • Electrical Engineering experience strongly preferred.
  • Expertise in designing and maintaining taxonomies and data models.
  • Strong understanding of metadata, tagging strategy, and content workflow.
  • Proficiency in taxonomy management tools and software.
  • Experience with ontologies and…
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