Knowledge of Human resources data taxonomy and ontology processes and tools * Experience with data mapping, standardization, hierarchies, reporting, and integrations * Familiarity with data privacy ...
Knowledge of Human resources data taxonomy and ontology processes and tools * Experience with data mapping, standardization, hierarchies, reporting, and integrations * Familiarity with data privacy ...
Knowledge of Human resources data taxonomy and ontology processes and tools * Experience with data mapping, standardization, hierarchies, reporting, and integrations * Familiarity with data privacy ...
Knowledge of Human resources data taxonomy and ontology processes and tools * Experience with data mapping, standardization, hierarchies, reporting, and integrations * Familiarity with data privacy ...
Knowledge of Human resources data taxonomy and ontology processes and tools * Experience with data mapping, standardization, hierarchies, reporting, and integrations * Familiarity with data privacy ...
Knowledge of Human resources data taxonomy and ontology processes and tools * Experience with data mapping, standardization, hierarchies, reporting, and integrations * Familiarity with data privacy ...
... taxonomy design, manual labeling, auto-labeling policies (client-side and service-side) , label-driven encryption, and rights management. * Microsoft Purview Data Loss Prevention across Exchange ...
... taxonomy design, manual labeling, auto-labeling policies (client-side and service-side) , label-driven encryption, and rights management. * Microsoft Purview Data Loss Prevention across Exchange ...
... taxonomy design, manual labeling, auto-labeling policies (client-side and service-side) , label-driven encryption, and rights management. * Microsoft Purview Data Loss Prevention across Exchange ...
Quick apply
... taxonomy design, manual labeling, auto-labeling policies (client-side and service-side) , label-driven encryption, and rights management. * Microsoft Purview Data Loss Prevention across Exchange ...
... taxonomy design, manual labeling, auto-labeling policies (client-side and service-side) , label-driven encryption, and rights management. * Microsoft Purview Data Loss Prevention across Exchange ...
... taxonomy design, manual labeling, auto-labeling policies (client-side and service-side) , label-driven encryption, and rights management. * Microsoft Purview Data Loss Prevention across Exchange ...
Sr. Data Science and Analytics Analyst
Birmingham, MI · On-site
$82K - $103K/yr
Owns elements of the data process such as syntax and taxonomy management and QA * Able to manage data team responsibilities within cross-capability projects * Participates and presents within larger ...
Sr. Data Science and Analytics Analyst
Birmingham, MI · On-site
$82K - $103K/yr
Owns elements of the data process such as syntax and taxonomy management and QA * Able to manage data team responsibilities within cross-capability projects * Participates and presents within larger ...
Sr. Data Science and Analytics Analyst
$82K - $103K/yr
Owns elements of the data process such as syntax and taxonomy management and QA * Able to manage data team responsibilities within cross-capability projects * Participates and presents within larger ...
Sr. Data Science and Analytics Analyst
$82K - $103K/yr
Owns elements of the data process such as syntax and taxonomy management and QA * Able to manage data team responsibilities within cross-capability projects * Participates and presents within larger ...
Procurement Data Analyst
Southfield, MI · On-site
Maintain and monitor supplier master data, ensuring proper categorization, taxonomy alignment, diversity classification, and risk attributes. * Track onboarding cycle times, identify bottlenecks, and ...
Procurement Data Analyst
Southfield, MI · On-site
Maintain and monitor supplier master data, ensuring proper categorization, taxonomy alignment, diversity classification, and risk attributes. * Track onboarding cycle times, identify bottlenecks, and ...
Procurement Data Analyst
Southfield, MI · On-site
Maintain and monitor supplier master data, ensuring proper categorization, taxonomy alignment, diversity classification, and risk attributes. * Track onboarding cycle times, identify bottlenecks, and ...
Procurement Data Analyst
Southfield, MI · On-site
Maintain and monitor supplier master data, ensuring proper categorization, taxonomy alignment, diversity classification, and risk attributes. * Track onboarding cycle times, identify bottlenecks, and ...
Support the building of governance for capture and reuse of project learnings, including after-action reviews, retrospectives, and standardised tagging/taxonomy. * Coordinate with Data/IT and ...
Support the building of governance for capture and reuse of project learnings, including after-action reviews, retrospectives, and standardised tagging/taxonomy. * Coordinate with Data/IT and ...
... taxonomy, trigger logic, and journey design for long-term scalability and maintainability • Identify common post-launch failure points, including data integrity issues, journey sprawl, trigger ...
... taxonomy, trigger logic, and journey design for long-term scalability and maintainability • Identify common post-launch failure points, including data integrity issues, journey sprawl, trigger ...
... label taxonomy design, manual labeling, auto-labeling policies (client-side and service-side) , and label-driven encryption. * Microsoft Purview Data Loss Prevention across Exchange, SharePoint ...
... label taxonomy design, manual labeling, auto-labeling policies (client-side and service-side) , and label-driven encryption. * Microsoft Purview Data Loss Prevention across Exchange, SharePoint ...
Senior Content Designer
Novi, MI · On-site
$106K - $189K/yr
Use broad knowledge of information architecture principles, including taxonomy, hierarchy, and ... Portfolio that demonstrates expertise with knowledge-centered methodologies, data-driven decision ...
Senior Content Designer
Novi, MI · On-site
$106K - $189K/yr
Use broad knowledge of information architecture principles, including taxonomy, hierarchy, and ... Portfolio that demonstrates expertise with knowledge-centered methodologies, data-driven decision ...
... label taxonomy design, manual labeling, auto-labeling policies (client-side and service-side) , and label-driven encryption. * Microsoft Purview Data Loss Prevention across Exchange, SharePoint ...
Quick apply
... label taxonomy design, manual labeling, auto-labeling policies (client-side and service-side) , and label-driven encryption. * Microsoft Purview Data Loss Prevention across Exchange, SharePoint ...
... label taxonomy design, manual labeling, auto-labeling policies (client-side and service-side) , and label-driven encryption. * Microsoft Purview Data Loss Prevention across Exchange, SharePoint ...
... label taxonomy design, manual labeling, auto-labeling policies (client-side and service-side) , and label-driven encryption. * Microsoft Purview Data Loss Prevention across Exchange, SharePoint ...
... data governance policies, taxonomy structures, and attribute standards across product categories Partner with merchandising, marketing, and supply chain teams to gather, validate, and publish ...
... data governance policies, taxonomy structures, and attribute standards across product categories Partner with merchandising, marketing, and supply chain teams to gather, validate, and publish ...
Audience Strategy Manager
Lansing, MI · On-site
Define audience taxonomy, segmentation methodology, and targeting rules. * Identify high-value ... Strong understanding of segmentation, customer journeys, first-party data strategy, and ...
Audience Strategy Manager
Lansing, MI · On-site
Define audience taxonomy, segmentation methodology, and targeting rules. * Identify high-value ... Strong understanding of segmentation, customer journeys, first-party data strategy, and ...
In this role, the consultant will evaluate tools, data flows, integrations, and operational ... Familiarity with taxonomy design, metadata frameworks, asset governance, rights management, and ...
In this role, the consultant will evaluate tools, data flows, integrations, and operational ... Familiarity with taxonomy design, metadata frameworks, asset governance, rights management, and ...
In this role, the consultant will evaluate tools, data flows, integrations, and operational ... Familiarity with taxonomy design, metadata frameworks, asset governance, rights management, and ...
In this role, the consultant will evaluate tools, data flows, integrations, and operational ... Familiarity with taxonomy design, metadata frameworks, asset governance, rights management, and ...
Data Taxonomy information
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 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 is the highest paying job in data?
The highest paying roles in data often include Data Science Directors, Chief Data Officers, and Data Engineering Managers, with salaries exceeding $150,000 annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with extensive experience and relevant certifications.
What is data taxonomy?
Data taxonomy is a structured classification system that organizes data into categories and subcategories, enabling easier data management, retrieval, and analysis. Data professionals often use standards, metadata, and tools like data modeling to develop and maintain effective taxonomies.
What is the difference between Data Taxonomy vs Data Analyst?
| Aspect | Data Taxonomy | Data Analyst |
|---|---|---|
| Primary Focus | Organizing and classifying data structures | Analyzing data to extract insights |
| Skills & Certifications | Data modeling, taxonomy development, data management certifications | Statistical analysis, SQL, data visualization skills |
| Work Environment | Data management teams, data governance departments | Business units, analytics teams |
| Industry Usage | Data governance, information architecture | Business 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 taxonomy?
To become a data taxonomy specialist, develop skills in data management, classification, and metadata standards, often through degrees in information science, computer science, or related fields. Gaining experience with data modeling tools, taxonomy development, and industry standards like Dublin Core or SKOS can enhance qualifications; certifications in data management or taxonomy design are also beneficial.
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 are popular job titles related to Data Taxonomy jobs in Michigan? For Data Taxonomy jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Taxonomy jobs in Michigan look for? The top searched job categories for Data Taxonomy jobs in Michigan are:
What cities in Michigan are hiring for Data Taxonomy jobs? Cities in Michigan with the most Data Taxonomy job openings:
Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
55th of 139 rated financial services
Job description
Operate at the center of Deloitte's Talent Architecture & Skills Governance-where enterprise decisions are shaped for delivery at scale. In this role, you will lead and support decision-making governance, guide stakeholders, and ensure the frameworks evolve with the market through precision, consistency, and data intelligence. You'll work within a high-visibility, cross-functional team, gaining deep exposure to firmwide strategy while influencing how talent, skills, and workforce decisions are made and sustained.
Recruiting for this role ends on June 26, 2026
Work you'll do
In this cross-business/ES enterprise role you will operationalize the Talent Architecture & Skills Governance strategy and vision by leading the governance intake, evaluation, and execution of framework revisions and market sensing insights. As a Talent Manager, Strategy, Growth and Transformation on the Talent Architecture & Skills Governance team, you will be responsible for:
- Partner with the Talent Architecture & Skills Governance Leader to execute the vision and strategy for talent architecture and skills governance, driving business-as-usual activities and medium-impact changes aligned with established governance and design principles.
- Lead stakeholders through the governance process, facilitate working sessions and decision forums, and document decisions and rationale to support timely, well-informed outcomes.
- Manage day-to-day operations and cross-functional coordination across business, Enterprise Solutions, and Data Management teams to implement changes on time, effectively, and in compliance with established standards.
- Oversee the intake, evaluation, and tracking of revision proposals, assess downstream impacts, identify risks and roadblocks, and recommend solutions that balance framework integrity with business needs.
- Develop business cases, change options, and executive-ready materials for job architecture changes, including the use of AI-assisted solutions, while driving process improvements that enhance transparency, efficiency, and team effectiveness.
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Ability to mentor and provide clear guidance to others
The team
The Talent Architecture and Skills Governance team is the enterprise connective tissue that governs talent architecture and skills frameworks -aligning Businesses/Enterprise Solutions, Finance, Technology, Data Governance, and AI/Analytics to enable decision clarity at scale. Our goal is to ensure that the talent architecture and skills frameworks are effective, foundational strategic data assets, that allow leaders to make fast, fair, and consistent talent decisions. We govern these frameworks as an enterprise decision infrastructure-ensuring trusted, consistent, market-relevant decisions and data that aligns with firm strategy, work, skills, cost, and talent experience with an eye toward the market and future innovation.
Qualifications
Required:
- Bachelor's degree or equivalent
- 6+ years of experience in talent strategy, job architecture, compensation design, business strategy, business intelligence, or organizational transformation
- Experience developing business cases, governance recommendations, or executive-level materials for senior management
- Experience defining, documenting, and facilitating governance or data maintenance processes that include risk review steps
- Experience working with large data sets or supporting data strategy development
- Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred:
- Strong critical thinking, analysis, and problem-solving skills
- Experience with Artificial intelligence/machine learning driven human resources solutions
- Knowledge of Human resources data taxonomy and ontology processes and tools
- Experience with data mapping, standardization, hierarchies, reporting, and integrations
- Familiarity with data privacy regulations, including General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA), to human resources data
- Experience working in large, complex organizations or consulting environments managing transformations
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102500 to $188900.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Qualifications:Operate at the center of Deloitte's Talent Architecture & Skills Governance-where enterprise decisions are shaped for delivery at scale. In this role, you will lead and support decision-making governance, guide stakeholders, and ensure the frameworks evolve with the market through precision, consistency, and data intelligence. You'll work within a high-visibility, cross-functional team, gaining deep exposure to firmwide strategy while influencing how talent, skills, and workforce decisions are made and sustained.
Recruiting for this role ends on June 26, 2026
Work you'll do
In this cross-business/ES enterprise role you will operationalize the Talent Architecture & Skills Governance strategy and vision by leading the governance intake, evaluation, and execution of framework revisions and market sensing insights. As a Talent Manager, Strategy, Growth and Transformation on the Talent Architecture & Skills Governance team, you will be responsible for:
- Partner with the Talent Architecture & Skills Governance Leader to execute the vision and strategy for talent architecture and skills governance, driving business-as-usual activities and medium-impact changes aligned with established governance and design principles.
- Lead stakeholders through the governance process, facilitate working sessions and decision forums, and document decisions and rationale to support timely, well-informed outcomes.
- Manage day-to-day operations and cross-functional coordination across business, Enterprise Solutions, and Data Management teams to implement changes on time, effectively, and in compliance with established standards.
- Oversee the intake, evaluation, and tracking of revision proposals, assess downstream impacts, identify risks and roadblocks, and recommend solutions that balance framework integrity with business needs.
- Develop business cases, change options, and executive-ready materials for job architecture changes, including the use of AI-assisted solutions, while driving process improvements that enhance transparency, efficiency, and team effectiveness.
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Ability to mentor and provide clear guidance to others
The team
The Talent Architecture and Skills Governance team is the enterprise connective tissue that governs talent architecture and skills frameworks -aligning Businesses/Enterprise Solutions, Finance, Technology, Data Governance, and AI/Analytics to enable decision clarity at scale. Our goal is to ensure that the talent architecture and skills frameworks are effective, foundational strategic data assets, that allow leaders to make fast, fair, and consistent talent decisions. We govern these frameworks as an enterprise decision infrastructure-ensuring trusted, consistent, market-relevant decisions and data that aligns with firm strategy, work, skills, cost, and talent experience with an eye toward the market and future innovation.
Qualifications
Required:
- Bachelor's degree or equivalent
- 6+ years of experience in talent strategy, job architecture, compensation design, business strategy, business intelligence, or organizational transformation
- Experience developing business cases, governance recommendations, or executive-level materials for senior management
- Experience defining, documenting, and facilitating governance or data maintenance processes that include risk review steps
- Experience working with large data sets or supporting data strategy development
- Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred:
- Strong critical thinking, analysis, and problem-solving skills
- Experience with Artificial intelligence/machine learning driven human resources solutions
- Knowledge of Human resources data taxonomy and ontology processes and tools
- Experience with data mapping, standardization, hierarchies, reporting, and integrations
- Familiarity with data privacy regulations, including General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA), to human resources data
- Experience working in large, complex organizations or consulting environments managing transformations
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102500 to $188900.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Education:NoneEmployment Type: