ZipRecruiter

Log In

1

Data Taxonomy Jobs in Rochester Hills, MI (NOW HIRING)

General Motors

Technical Product Operations Manager

Warren, MI · On-site

$156K - $181K/yr

... data through close collaboration with simulation partners. * Identifygaps, refine issue definitions, and ensure consistent application of taxonomy items across teams and workflows. * Support the ...

Carhartt

Digital Site Merchandiser

Dearborn, MI · On-site

$15.75 - $18.50/hr

Maintain product data, imagery, taxonomy, pricing, and merchandising integrity * Own merchandising across navigation, search, filters, facets, and product listing experiences * Align product ...

VML

Senior Program Director

Detroit, MI

$114K - $115K/yr

The work spans content production, asset lifecycle management, taxonomy, metadata, DAM modernization, AI-enabled production, customer data connectivity, decisioning, workflow, governance, measurement ...

twentysix

Senior Program Director

Detroit, MI · On-site

$100 - $230/hr

The work spans content production, asset lifecycle management, taxonomy, metadata, DAM modernization, AI-enabled production, customer data connectivity, decisioning, workflow, governance, measurement ...

New

VML

Senior Program Director

Detroit, MI · On-site

$114K - $115K/yr

The work spans content production, asset lifecycle management, taxonomy, metadata, DAM modernization, AI-enabled production, customer data connectivity, decisioning, workflow, governance, measurement ...

VML South Africa

Senior Program Director

Detroit, MI · On-site

$100 - $230/hr

The work spans content production, asset lifecycle management, taxonomy, metadata, DAM modernization, AI‑enabled production, customer data connectivity, decisioning, workflow, governance ...

New

Koch Industries

Category Manager

Rochester Hills, MI · On-site

Define category taxonomy, baselines, and analytics to support total cost of ownership (TCO ... Any compensation range provided for a role is an estimate determined by available market data. The ...

previous pagenext page

Showing results 21-40

All JobsData Taxonomy JobsData Taxonomy Jobs in Rochester Hills, MI

Data Taxonomy information

What are some typical challenges faced when developing and maintaining a data taxonomy within an organization?

One common challenge when working in data taxonomy is ensuring consistency across different departments that may use varied terminology or classification standards. Data taxonomists often need to facilitate collaboration between stakeholders to agree on definitions and structures, which requires strong communication and negotiation skills. Another challenge is keeping the taxonomy up-to-date as business needs and data sources evolve, necessitating regular reviews and updates. Successfully navigating these issues helps improve data discoverability, governance, and overall business intelligence.

What are the key skills and qualifications needed to thrive as a data taxonomist, and why are they important?

To thrive as a Data Taxonomist, you need a strong background in information science, data organization, and metadata management, often supported by a degree in library science, information systems, or a related field. Familiarity with taxonomy management tools, data modeling software, and standards such as SKOS or RDF is commonly required. Attention to detail, analytical thinking, and effective communication are essential soft skills for collaborating across teams and ensuring data consistency. These skills and qualifications are crucial for creating structured data frameworks that improve data discoverability, usability, and governance.

What is the difference between Data Taxonomy vs Data Analyst?

AspectData TaxonomyData Analyst
Primary FocusOrganizing and classifying data structuresAnalyzing data to extract insights
Skills & CertificationsData modeling, taxonomy development, data management certificationsStatistical analysis, SQL, data visualization skills
Work EnvironmentData management teams, data governance departmentsBusiness units, analytics teams
Industry UsageData governance, information architectureBusiness intelligence, reporting

Data Taxonomy involves creating structured classifications for data assets, ensuring consistency and clarity across systems. Data Analysts focus on interpreting data to support decision-making. While both roles work with data, Data Taxonomy emphasizes data organization, whereas Data Analysts analyze data for insights.

How to become a data taxonomist?

To become a data taxonomist, develop skills in data management, classification, and metadata standards, often through a degree in information science, computer science, or related fields. Gaining experience with data modeling tools, taxonomy development, and understanding domain-specific knowledge is essential, along with familiarity with data governance and relevant software such as Protégé or Excel.

What does a data taxonomy specialist do?

A data taxonomy specialist develops and maintains structured classifications of data within an organization to improve data organization, searchability, and governance. They analyze data assets, create standardized naming conventions, and often use tools like metadata management systems to ensure consistent data categorization across systems.

What skills are needed for data taxonomy?

Data taxonomy professionals need strong analytical skills to categorize and organize data effectively, along with knowledge of data management principles and metadata standards. Familiarity with data modeling tools, taxonomy development, and understanding of business context are also important. Proficiency in tools like Excel, SQL, or specialized taxonomy software can enhance performance.
Data Taxonomy jobs near you

Technical Product Operations Manager

General Motors

Warren, MI • On-site

$156K - $181K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 308 frontline employees who took The Breakroom Quiz

7.3

Company rating compared to similar companies: 7.3 out of 10

Automakers average

Based on 6,329 frontline employees who took The Breakroom Quiz

Job description

Job Description

The Scaled Engineering Operations (SEO) team applies human intelligence to some of the toughest problems facing AV development at General Motors (GM). We work closely with cross-functional teams across Engineering, Product Management, and Business to create and iterate on products that move our business forward. We are integral to the development of GM's ADAS technology. Our products include annotated dataset for machine learning and pareto development, strategic test creation and management, and structured reviews of critical events & simulations to understand the performance of the vehicleonroadand insimulation.

We are looking for aTechnical Product Operations Managerwho canoversee data products that directlyimpactthe rapid, efficient, and safe operations of autonomy in GM's vehicles.Specifically, this individual will need to become well-versed in GM's simulation and testing space.

This roleoperatesas ahighimpactindividual contributor, owning critical workflowsendtoendwhile influencing how work is done across the team. It requires a blend of operational leadership, analytical rigor, and technical depth, and isexecutionorientedwith significant scope for impact. The role is expected to set the bar for quality, provide guidance to peers, and mentor other ICs through influence, with opportunities to take onadditionalleadership scope as the organization scales. Depending on background and business needs, the role may emphasize simulation and test quality, issuetaxonomyand analysis, orlargescalelabeling operations, all grounded in strong systems thinking andcrossfunctionalleadership.

The role combines operational ownership, program leadership, and technical depth to drive analytical andsystemslevelproblemsolvingthat improves quality, scalability, and trust across our core systems. It sits at a critical inflection point between engineering complexity and operational scale, shaping how data, tests, and issues are defined, measured, and acted upon-directlyimpactingthe speed, safety, and reliability of advanced vehicle systems.

What You'll Do

  • Own the data product that supports simulation and test issue management, ensuring itremainsaccurate, scalable, and aligned to protocol execution needs.

  • Maintain, and evolve issue categories to ensure consistent interpretation andhighqualityprotocol data through close collaboration with simulation partners.

  • Identifygaps, refine issue definitions, and ensure consistent application of taxonomy items across teams and workflows.

  • Support the creation of metrics, dashboards, and analyses that surface trends and inform prioritization anddecisionmaking.

  • Contribute to adjacent data products and pilot initiatives, flexing across SEO's portfolio to enhance operational excellence and data reliability.

  • Identifyand drive opportunities for process improvements that make simulation/test issue workflows more scalable, efficient, and resilient as the AV software stack evolves.

Your Skills & Abilities

    • 3+ years of experience in consulting, finance, business operations, tech startups, or similarly analytical and strategic environments.

    • Bachelor's degree in a relevant field or equivalent practical experience.

    • Experience contributing to strategies and solutions within a complex, rapidly evolving domain, ideally involving data products, operational workflows, orAVrelatedsystems.

    • Strong communicationskills, including the ability to craft clear summaries, present insights, and communicate recommendations to senior stakeholders.

    • Demonstrated analytical rigor, with experience posingdatadrivenquestions, conducting insightful analysis, and developing or improving metrics and KPIs.

    • Experience collaborating across teams with differing priorities, helping drive clarity, shared understanding, and forward progress.

    • Comfort switching between strategic thinking andhandsonexecution, adapting to evolving needs with sound judgment and EQ.

    • Willingness to askhard questions, challenge assumptions, and surface inconsistencies to improve data quality and operational clarity.

    • Familiarity with SQL.

What Will Give You A Competitive Edge

  • 5+ years of experience in consulting, finance, business operations, tech startups, or similarly analytical and strategic environments

  • Proficiencyin SQL andPython for data querying and analysis.

  • Experience supporting ADAS, autonomy, robotics, or complex simulation systems

  • Familiarity with machine learning data operations, including labeling workflows, test quality frameworks, or quality control processes

  • Experience managing or working closely with offshore vendors or external partners, includingdaytodayoperational coordination

  • Comfort acting as a product owner for internal tools, including documenting requirements, prioritizing asks, and influencing roadmaps

  • Experience designingforwardlookingstrategies within complex, rapidly evolving technical ecosystems-or a strong passion forselfdrivingtechnology and its transformative potential

Compensation

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not be representative for positionslocatedoutside of New York, Colorado, California, or Washington.

  • The salary range for this role is $83,800 and $163,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

  • Bonus Potential: An incentivepayprogram offers payouts based on company performance, job level, and individual performance.

Benefits

  • GM offers a variety of health and wellbeing benefit programs.Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuitionassistanceprograms, employeeassistanceprogram, GM vehicle discounts and more.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Working at General Motors

What General Motors employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

General Motors logo

About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908

View All General Motors Jobs

Apply