Data Product Manager

About the role

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 Dennisons 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.

Key Responsibilities

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 & FinOps 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.

Qualifications :

Qualifications

• Bachelors 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 Modern Data Stack architectures (Data Lakehouses Medallion Architecture Semantic Layers) and thorough knowledge of Data Governance principles.

• Exposure to Generative AI RAG frameworks Vector Databases Feature Stores and proficiency in Agile methodologies (Scrum/Kanban) using tools like Jira and GitHub.

• Outstanding leadership storytelling financial acumen and communication skills with a demonstrated ability to articulate complex technical data concepts into compelling business ROI narratives for executive leadership.

Additional Information :

Pay Transparency

The salary range for this position is $132825 - $198352 / year.

The hiring base salary range above represents what Avery Dennison reasonably expects to pay for this position as of the date of this posting. Actual salaries will vary within the range and in some circumstances may be above or below the range based on various factors including but not limited to a candidates relevant skills experience education and training and location as well as the job scope and complexity responsibilities and regular and/or necessary travel required for the position which may change depending on the candidate pool. Avery Dennison reserves the right to modify this information at any time subject to applicable law.

Equal Opportunity Employer

Avery Dennison is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability protected veteran status or any other protected status.

Reasonable Accommodations Notice

If you require accommodations to view or apply for a job alternative methods are available to submit an application. Please contact or to discuss reasonable accommodations.

Identity Verification Notice

To maintain the integrity of our hiring process and protect our candidates from identity fraud we require video and/or in-person interviews. As part of this verification we may also ask you to take a brief photo. This image is used exclusively to ensure identity consistency and will be permanently deleted once the hiring process concludes.

Pre-employment Screening Notice

As part of our commitment to maintaining a safe and productive work environment Avery Dennison requires all final candidates to successfully complete a comprehensive background check and a drug screening. These checks are conducted post-offer and are a condition of employment. All results will be considered in accordance with applicable local state and federal laws.

Remote Work :

No

Employment Type :

Full-time