Data Product Manager

Posted Yesterday
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Mentor, OH, USA
Hybrid
133K-198K Annually
Senior level
Logistics
The Role
Lead end-to-end lifecycle of curated, governed data products for enterprise domains: prioritize roadmaps, enforce AI-ready standards, drive adoption, define canonical metrics, manage metadata and SLAs, and partner with engineering, governance, and FinOps to maximize business value and cost efficiency.
Summary Generated by Built In
Company Description

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 www.averydennison.com.

Benefits

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.

Job Description

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 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.

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

  • 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 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 $132,825 - $198,352 / 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 candidate’s 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 (440) 534-6000 or [email protected] 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.

Skills Required

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Administration, or equivalent technical/quantitative field.
  • 8+ years of experience in data product management, data engineering leadership, business intelligence, or enterprise data management, ideally in manufacturing or supply chain.
  • Deep understanding of Level-1 enterprise business processes in at least two core domains.
  • Familiarity with Modern Data Stack architectures (Data Lakehouses, Medallion Architecture, Semantic Layers).
  • Thorough knowledge of Data Governance principles and experience with enterprise data catalogs and quality scorecards.
  • Exposure to Generative AI, RAG frameworks, Vector Databases, and Feature Stores.
  • Proficiency in Agile methodologies (Scrum/Kanban) and tools such as Jira and GitHub.
  • Ability to define quantifiable financial returns (Hard-Dollar Benefit Rule) and articulate ROI to executive leadership.
  • Strong leadership, storytelling, financial acumen, and communication skills to drive cross-functional adoption and executive alignment.

Avery Dennison Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Avery Dennison and has not been reviewed or approved by Avery Dennison.

  • Healthcare Strength Pay and benefits are frequently characterized as decent or good, supported by multiple medical plan options alongside dental, vision, and mental health coverage. Company-paid basic life insurance and short-term disability coverage add to the perceived strength of core protection benefits.
  • Retirement Support Retirement support is strengthened by an automatic employer contribution plus an additional employer match tied to employee contributions. The availability of an employee stock purchase plan further broadens long-term savings options beyond the 401(k).
  • Parental & Family Support Family-related support is reinforced through parental leave and dedicated adoption and fertility assistance with a stated benefit amount. Domestic partner eligibility and LGBTQIA+ healthcare support features expand coverage for different family structures.

Avery Dennison Insights

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The Company
HQ: Glendale, CA
16,564 Employees

What We Do

Avery Dennison (NYSE: AVY) is a global materials science company specializing in the design and manufacture of a wide variety of labeling and functional materials. The company’s products, which are used in nearly every major industry, include pressure-sensitive materials for labels and graphic applications; tapes and other bonding solutions for industrial, medical, and retail applications; tags, labels and embellishments for apparel; and radio frequency identification (RFID) solutions serving retail apparel and other markets. Headquartered in Glendale, California, the company employs more than 30,000 employees in more than 50 countries. Reported sales in 2020 were $7.0 billion.

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