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Asset Metadata Taxonomy Jobs in Colorado (NOW HIRING)

... assets that power customer experiences, AI assistants, search systems, support workflows, and ... Structured content strategy, content modeling, information architecture, taxonomy, or metadata ...

Asset Metadata Taxonomy information

What is an asset metadata taxonomy?

An Asset Metadata Taxonomy is a structured classification system used to organize and categorize digital assets, such as images, videos, documents, and other media, based on their descriptive metadata. This taxonomy helps organizations standardize the way they tag and retrieve assets, making it easier to search for and manage content efficiently. By defining categories, attributes, and relationships, an asset metadata taxonomy ensures consistency, improves discoverability, and supports effective digital asset management across teams and platforms.

What skills and qualifications are needed to thrive as an asset metadata taxonomy specialist?

To excel as an Asset Metadata Taxonomy Specialist, you need a strong background in information science, metadata standards, taxonomy development, and data organization, often supported by a degree in library science or a related field. Familiarity with content management systems (CMS), digital asset management (DAM) platforms, and metadata schema tools is essential. Attention to detail, analytical thinking, and effective communication are critical soft skills for collaborating with stakeholders and ensuring consistent taxonomy application. These skills ensure accurate asset classification, improve content discoverability, and support efficient information retrieval across digital platforms.

What are common challenges faced by professionals working in asset metadata taxonomy roles, and how can they be addressed?

Professionals in Asset Metadata Taxonomy often encounter challenges such as ensuring consistency across large and evolving datasets, integrating disparate metadata standards, and coordinating with multiple stakeholders like IT, content creators, and business units. Addressing these challenges typically involves establishing clear governance frameworks, utilizing robust taxonomy management tools, and maintaining open communication with cross-functional teams. Staying updated on industry best practices and regularly reviewing the taxonomy structure can also help prevent data silos and improve overall asset discoverability.

What is the difference between Asset Metadata Taxonomy vs Asset Data Analyst?

AspectAsset Metadata TaxonomyAsset Data Analyst
Primary FocusOrganizing and classifying asset metadataAnalyzing asset data for insights and reporting
Skills RequiredTaxonomy development, metadata standards, data managementData analysis, statistical skills, reporting tools
Work EnvironmentData management teams, information systemsBusiness units, analytics teams
CertificationsData management, taxonomy certificationData analysis, business intelligence certifications

While both roles involve working with asset data, Asset Metadata Taxonomy focuses on structuring and categorizing metadata for assets, whereas Asset Data Analysts interpret and analyze asset data to support decision-making. Understanding these differences helps organizations assign the right skills to each role.

What are popular job titles related to Asset Metadata Taxonomy jobs in Colorado?

For Asset Metadata Taxonomy jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Asset Metadata Taxonomy jobs in Colorado look for?

The top searched job categories for Asset Metadata Taxonomy jobs in Colorado are:

What cities in Colorado are hiring for Asset Metadata Taxonomy jobs?

Cities in Colorado with the most Asset Metadata Taxonomy job openings:

Infographic showing various Asset Metadata Taxonomy job openings in Colorado as of June 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution.

Digital Product Owner - Unified Catalog

Caterpillar Financial Services Corporation

Broomfield, CO • On-site

$98 - $158/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Career Area:

Technology, Digital and Data

Job Description: Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics and AI capabilities to help our customers build a better, more sustainable world.

Job Summary:

As the Digital Product Owner – Unified Catalog within the Rental and Used team at Caterpillar, you will own the strategy, roadmap, and execution of the Unified Catalog platform, primarily driven through PIM (Product Information Management) systems.

You will be responsible for enabling a single, consistent, and scalable product data foundation across digital platforms such as rent.cat.com and Cat Rental Store (CRS 2.0). This includes managing product hierarchies, attributes, taxonomy, and data integration across upstream and downstream systems.

Working closely with engineering, CMS, analytics, marketing, and dealer teams, you will ensure that product data is accurate, complete, and structured to support seamless customer experiences, dealer operations, and digital growth initiatives.

What You Will Do: Product Strategy & Roadmap
  • Define and drive the product vision and roadmap for Unified Catalog and PIM capabilities
  • Align catalog initiatives with enterprise digital strategy, content ecosystem (CMS), and Rental & Used business objectives
  • Identify opportunities to improve product data quality, scalability, and reuse across platforms
Unified Catalog (PIM) Domain Ownership
  • Product onboarding and enrichment
  • Attribute definition and standardization
  • Product classification and taxonomy
  • Data governance and lifecycle management
  • Establish and maintain consistent product data models across Rental and Used equipment catalogs
  • Ensure alignment between PIM, CMS, CPC, and downstream consumer systems
Catalog Structure & Data Modeling
  • Product hierarchies (categories, families, variants)
  • Attribute frameworks (specifications, features, metadata)
  • Taxonomy and classification standards
Ensure data models support:
  • PLP/PDP experiences
  • Search, filtering, and navigation
  • Localization and multi-region requirements
Platform Integration & Data Flow
  • CMS (content rendering)
  • CPC and syndication layers
  • Supplier and engineering data sources
  • Ensure accurate and timely data synchronization across platforms
  • Data mapping
  • Attribute alignment
  • System integrations
Data Quality & Governance
  • Define and enforce data quality standards, validation rules, and completeness requirements
  • Product onboarding
  • Data updates and approvals
Backlog & Delivery Execution
  • Own and prioritize the Unified Catalog / PIM product backlog
  • Translate business requirements into clear user stories, acceptance criteria, and data requirements
  • Partner with engineering teams to deliver scalable and reliable catalog capabilities
  • Ensure releases align with business priorities and deliver measurable value
Cross-Functional Collaboration
  • Engineering (PIM, integration, platform teams)
  • CMS / content teams
  • Marketing and SEO teams
  • Analytics and reporting teams
  • Dealer and business stakeholders
  • Partner with analytics teams to enable reporting and visibility into catalog performance and gaps
Performance & Insights
  • Product data completeness and quality scores
  • Attribute coverage and consistency
  • Catalog readiness for digital experiences
Continuous Improvement & Scalability
  • Catalog scalability and reusability
  • Data onboarding efficiency (supplier/dealer inputs)
  • Time-to-market for new products and updates
  • Support global expansion by enabling multi-region and multi-language catalog capabilities
What You Will Have:
  • Business Analysis: Knowledge of business analysis and the set of tasks, techniques and tools required to identify business needs; ability to recommend solutions that deliver value to stakeholders.
  • Decision Making and Critical Thinking: Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment.
  • Software Problem Management: Knowledge of strategies, practices and tools for resolving software problems; ability to manage software problems in installed software products.
  • Software Product Business Knowledge: Knowledge of and experience with the business aspects and operation of a software product; ability to manage install base, current uses, future plans, and product vision.
  • User Acceptance Testing (UAT): Knowledge of UAT activities, tasks, tools and techniques; ability to design, implement and evaluate acceptance tests for end-users.
Considerations For Top Candidates:
  • Bachelor’s degree in Computer Science, Engineering, Business, Information Systems, or related field
  • Proven experience in digital product management or product ownership
  • Experience working with PIM systems or structured product data platforms
  • Product data modeling and taxonomy
  • Data governance and lifecycle management
  • Proven ability to work across engineering, content (CMS), and business teams
  • Experience managing cross-platform dependencies and integrations
  • Excellent communication skills with ability to translate complex data concepts into actionable deliverables
  • Experience with PIM platforms such as Akeneo, inRiver, or similar enterprise systems
  • Understanding of CMS (AEM) integration with PIM for content and product experiences
  • Familiarity with CPC, syndication layers, and product data distribution models
  • Experience supporting PLP/PDP, search, and filtering experiences
  • Knowledge of SEO and how product data impacts discoverability
  • Experience working in Agile/Scrum environments (CSPO, SAFe PO/PM preferred)
  • Exposure to analytics tools and data quality reporting frameworks
Summary Pay Range:

$97,530.00 - $158,480.00

Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.

Benefits:

Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.

  • Medical, dental, and vision benefits*
  • Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
  • 401(k) savings plans*
  • Health Savings Account (HSA)*
  • Flexible Spending Accounts (FSAs)*
  • Health Lifestyle Programs*
  • Employee Assistance Program*
  • Voluntary Benefits and Employee Discounts*
  • Career Development*
  • Incentive bonus*
  • Disability benefits
  • Life Insurance
  • Parental leave
  • Adoption benefits
  • Tuition Reimbursement

* These benefits also apply to part-time employees

Visa Sponsorship is not available for this position.

Posting Dates:

August 12, 2026 - August 28, 2026

Any offer of employment is conditioned upon the successful completion of a drug screen.

Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.

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