Data Product Manager

Why join Avery Dennison

We are a global materials science and digital identification solutions company with locations in over 50 countries, and approximately 35,000 employees worldwide. As a science and innovation company, we believe that diverse teams are stronger teams. We are committed to fostering a culture of curiosity and courage, where you can grow your career with a company that has innovation in its DNA.

Founded on creating real-world impact to enable a better future, we strive to provide an open, collaborative culture where diversity of thought is encouraged and respected. Hear from our employees about what it's like working at Avery Dennison. Learn more at

At Avery Dennison, some of the great benefits we provide are:

• Healthcare Access:
  Access to our large network of medical and behavioral health professionals.

• Retirement Savings:
  You receive an automatic contribution of 3% of eligible pay (even if you contribute $0) plus a matching contribution of 50% on the first 7% of eligible pay you contribute.

• Life Insurance:
  Provides twice your base annual salary up to a $50,000 maximum at no cost to you.

• Paid Time Off:
  We offer a generous vacation program that varies based upon your experience and position within Avery Dennison.

The Data Product Manager is a pivotal strategic and operational role within the Data Excellence & AI Foundations organization. Operating within a Hub-and-Spoke Federated Model, the Data Product Manager bridges the gap between business leadership, domain stakeholders, and the technical Data Platform Engineering squad. The Data Product Manager is responsible for treating enterprise data as a curated, governed, software-like product, owning the end-to-end lifecycle across assigned business processes from initial value identification through ingestion, transformation, governance certification, marketplace publication, and ultimate deprecation.

A primary objective of this role is to ensure all published data assets meet Avery Dennison’s "AI-Ready" Gold/Platinum Standards, enabling seamless consumption by knowledge workers, business intelligence dashboards, predictive analytics, and autonomous AI agents without requiring manual pre-processing or reformatting.

This position is based on-site/hybrid in Mentor, Ohio.

• Own, prioritize, and manage the data product backlog and strategic roadmap for assigned business domains in close coordination with business Data Product Owners (DPOs), applying the enterprise Hard-Dollar Benefit Rule to define quantifiable financial returns prior to development.

• Partner with non-IT business leads, functional process owners, and business analysts to map ownership, drive adoption of certified data products across regional business units, eliminate Shadow IT practices, and facilitate educational workshops to elevate organizational data literacy.

• Guide data products through the 8-stage enterprise lifecycle (Identify ➔ Create ➔ Ingest ➔ Transform ➔ Govern ➔ Expose ➔ Consume ➔ Retire), enforce AI Readiness criteria, and partner with Data Governance to socialize quality scorecards.

• Collaborate with Analytics Engineers and SMEs to define single-source-of-truth canonical metrics within the Enterprise Semantic Layer, oversee capture of mandatory metadata in the Enterprise Data Catalog, and establish SLAs regarding freshness, completeness, uptime, and latency.

• Collaborate with the Data Value & Fin Ops Analyst to track cloud infrastructure run costs against delivered business value, implement usage-based chargeback/showback billing models, and monitor product consumption patterns and query performance.

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Business Administration, or an equivalent technical/quantitative field.

• 8+ years of experience in data product management, data engineering leadership, business intelligence, or enterprise data management, with a proven track record of managing software or data assets within a complex manufacturing or supply chain environment.

• Deep understanding of Level-1 enterprise business processes in at least two core domains, strong familiarity with…