Manage, maintain, and evolve role-based permissions, firm-aligned taxonomy, and metadata standards ... Data-oriented: comfortable defining KPIs, interpreting usage analytics, and using evidence to ...
Manage, maintain, and evolve role-based permissions, firm-aligned taxonomy, and metadata standards ... Data-oriented: comfortable defining KPIs, interpreting usage analytics, and using evidence to ...
Manage, maintain, and evolve role-based permissions, firm-aligned taxonomy, and metadata standards ... Data-oriented: comfortable defining KPIs, interpreting usage analytics, and using evidence to ...
Manage, maintain, and evolve role-based permissions, firm-aligned taxonomy, and metadata standards ... Data-oriented: comfortable defining KPIs, interpreting usage analytics, and using evidence to ...
Manage, maintain, and evolve role-based permissions, firm-aligned taxonomy, and metadata standards ... Data-oriented: comfortable defining KPIs, interpreting usage analytics, and using evidence to ...
Manage, maintain, and evolve role-based permissions, firm-aligned taxonomy, and metadata standards ... Data-oriented: comfortable defining KPIs, interpreting usage analytics, and using evidence to ...
Experience with data science or artificial intelligence and machine learning * Experience with modular content or taxonomy frameworks * Experience developing thought leadership through speaking ...
Experience with data science or artificial intelligence and machine learning * Experience with modular content or taxonomy frameworks * Experience developing thought leadership through speaking ...
... taxonomy approvals, and specific client requests. Location: Minneapolis, MN What you'll do ... Review and interpret electrical and instrumentation drawings, loop diagrams, and data sheets.
... taxonomy approvals, and specific client requests. Location: Minneapolis, MN What you'll do ... Review and interpret electrical and instrumentation drawings, loop diagrams, and data sheets.
... data platforms, customer relationship management platforms, or other marketing technology platforms * Certifications in Adobe or Salesforce platforms * Experience with modular content or taxonomy ...
... data platforms, customer relationship management platforms, or other marketing technology platforms * Certifications in Adobe or Salesforce platforms * Experience with modular content or taxonomy ...
Technical Product Manager
$98K - $123K/yr
Manages category navigation and browse taxonomy to ensure the information architecture facilitates ... Strong data fluency, with the ability to turn analytics (e.g, Amplitude), search behavioral data ...
Technical Product Manager
$98K - $123K/yr
Manages category navigation and browse taxonomy to ensure the information architecture facilitates ... Strong data fluency, with the ability to turn analytics (e.g, Amplitude), search behavioral data ...
... taxonomy approvals, and specific client requests. Location: Minneapolis, MN What you'll do ... Review and interpret electrical and instrumentation drawings, loop diagrams, and data sheets.
... taxonomy approvals, and specific client requests. Location: Minneapolis, MN What you'll do ... Review and interpret electrical and instrumentation drawings, loop diagrams, and data sheets.
... the data and information layer needed to power business-relevant AI agents and tools. The ... taxonomy and metadata, search, curation, content analytics). • Analytical reasoning and solution ...
... the data and information layer needed to power business-relevant AI agents and tools. The ... taxonomy and metadata, search, curation, content analytics). • Analytical reasoning and solution ...
... the data and information layer needed to power business-relevant AI agents and tools. The ... taxonomy and metadata, search, curation, content analytics). • Analytical reasoning and solution ...
... the data and information layer needed to power business-relevant AI agents and tools. The ... taxonomy and metadata, search, curation, content analytics). • Analytical reasoning and solution ...
Data Taxonomy information
What is the highest paid job in data science?
The highest paid roles in data science are often senior positions such as Lead Data Scientist, Data Science Director, or Chief Data Officer, which typically require extensive experience, advanced skills in machine learning and big data tools, and often involve strategic decision-making responsibilities. These roles can command salaries exceeding $150,000 annually, depending on the industry and location.
How to get a job in taxonomy?
To get a job in taxonomy, develop expertise in data organization, classification, and metadata standards such as Dublin Core or schema.org. Gaining skills in data management tools, understanding industry-specific vocabularies, and obtaining relevant certifications can improve employability. Experience with data analysis and information architecture is also valuable for roles in taxonomy development and management.
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 data taxonomy?
Data taxonomy is a structured classification system that organizes data into categories and subcategories, making it easier to manage, search, and analyze. Data professionals often use standards and tools like metadata and ontologies to develop effective taxonomies for data governance and integration.
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.
What do you need to be a data taxonomy specialist?
A data taxonomy specialist typically needs a strong understanding of data management, classification, and metadata standards, along with skills in data modeling and taxonomy development. Proficiency in tools like Excel, SQL, or specialized taxonomy software is often required, and relevant certifications in data management or information architecture can be beneficial. Experience with data governance and collaboration with cross-functional teams also supports success in this role.
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 Spring, TX? For Data Taxonomy jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Taxonomy jobs in Spring, TX look for? The top searched job categories for Data Taxonomy jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Taxonomy jobs? Cities near Spring, TX with the most Data Taxonomy job openings:
Full-time
Medical, Life, Retirement, PTO
Posted 5 days ago
Job description
Description
About Alvarez & Marsal
Alvarez & Marsal (A&M) is a global consulting firm with entrepreneurial, action and results-oriented professionals. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work-guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity-are why our people love working at A&M.
The Team
The Global AI & Knowledge Organization (GAIKO) is A&M's central engine for AI strategy, enablement, and knowledge infrastructure. Led by the Chief AI & Knowledge Officer, the team bridges firm strategy and frontline delivery, responsible for how A&M adopts, governs, and scales AI across its practices and geographies.
The team's mandate spans the full lifecycle of AI at A&M: from rolling out enterprise tools like Claude to thousands of practitioners across the US, Australia, and Europe, to building the platforms and governance frameworks that ensure AI work is reusable, compliant, and compounding in value over time.
How you will contribute
The GAIKO team is building the A&M AI Marketplace, a centralized platform that transforms the AI tools, prompts, agents, and other AI products created across our practices into reusable firm-wide assets. The Product Manager will own the strategy, roadmap, and day-to-day execution of this platform, serving as the connective tissue between practitioners, technologists, governance stakeholders, and firm leadership.
The Marketplace exists to solve a real problem: high-value AI work built across the firm too often stays siloed or disappears at project close. This platform changes that, making AI solutions broadly discoverable and turning the work of individuals and teams into a persistent, shared firm asset. By giving all practitioners access to proven, compliant assets, we raise A&M's baseline AI capability and reduce the risk of inconsistent or non-compliant work in the field.
This is a high-visibility, high-impact role operating at the intersection of AI enablement and governance, knowledge management, and product development. The incoming PM will onboard into a live platform with an established governance framework, contributor network, and stakeholder ecosystem. The right candidate will bring both product discipline and a genuine enthusiasm for how AI is reshaping professional services. You will have direct influence over how thousands of A&M practitioners discover and deploy AI, and how the firm captures and compounds its institutional knowledge over time.
Required
We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person's unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.
We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M. The possibilities are endless for high-performing and passionate professionals.
Regular employees working 30 or more hours per week are also entitled to participate in Alvarez & Marsal Holdings' fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez & Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type. Click here for more information regarding A&M's benefits programs.
The salary range is $160,000 - $190,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance. Please ask your recruiter for details.
About Alvarez & Marsal
Alvarez & Marsal (A&M) is a global consulting firm with entrepreneurial, action and results-oriented professionals. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work-guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity-are why our people love working at A&M.
The Team
The Global AI & Knowledge Organization (GAIKO) is A&M's central engine for AI strategy, enablement, and knowledge infrastructure. Led by the Chief AI & Knowledge Officer, the team bridges firm strategy and frontline delivery, responsible for how A&M adopts, governs, and scales AI across its practices and geographies.
The team's mandate spans the full lifecycle of AI at A&M: from rolling out enterprise tools like Claude to thousands of practitioners across the US, Australia, and Europe, to building the platforms and governance frameworks that ensure AI work is reusable, compliant, and compounding in value over time.
How you will contribute
The GAIKO team is building the A&M AI Marketplace, a centralized platform that transforms the AI tools, prompts, agents, and other AI products created across our practices into reusable firm-wide assets. The Product Manager will own the strategy, roadmap, and day-to-day execution of this platform, serving as the connective tissue between practitioners, technologists, governance stakeholders, and firm leadership.
The Marketplace exists to solve a real problem: high-value AI work built across the firm too often stays siloed or disappears at project close. This platform changes that, making AI solutions broadly discoverable and turning the work of individuals and teams into a persistent, shared firm asset. By giving all practitioners access to proven, compliant assets, we raise A&M's baseline AI capability and reduce the risk of inconsistent or non-compliant work in the field.
This is a high-visibility, high-impact role operating at the intersection of AI enablement and governance, knowledge management, and product development. The incoming PM will onboard into a live platform with an established governance framework, contributor network, and stakeholder ecosystem. The right candidate will bring both product discipline and a genuine enthusiasm for how AI is reshaping professional services. You will have direct influence over how thousands of A&M practitioners discover and deploy AI, and how the firm captures and compounds its institutional knowledge over time.
- Own and evolve the Marketplace product roadmap, driving the platform from initial MVP through scaled self-service contribution and automated repository ingestion
- Define and track success metrics including monthly active users, asset reuse rates, time-to-publish, SLA compliance, and approval rates
- Manage the end-to-end asset review process, collaborating with asset curators, BU/Topic Leaders and representatives, and offshore support to ensure security and risk compliance, quality governance, and timely curation of contributed assets
- Develop and manage the asset maintenance process, including asset deprecation and archival policy, to ensure AI Marketplace asset library is relevant, non-duplicative, and continuously improving.
- Manage, maintain, and evolve role-based permissions, firm-aligned taxonomy, and metadata standards that enable reliable search and discovery
- Develop and manage an incentive or contributor recognition model for asset submission
- Drive user adoption across practices and geographies through active engagement with BU representatives, communication, training, and a practitioner feedback loop
- Partner with UX design and development team to prioritize the platform backlog and translate practitioner needs into product requirements
- Engage the Operating Committee and firm leadership with clear, data-driven updates on platform performance and strategic direction
- Serve as the firm's internal subject matter expert on the Marketplace, evangelizing the value of shared AI assets and reuse over bespoke builds
Required
- 8+ years of product management experience, ideally in enterprise SaaS, knowledge management, or AI/ML tooling
- Demonstrated ability to define a product vision, build a roadmap, and drive results against clear success criteria
- Comfort operating and influencing in a matrixed professional services environment with multiple senior stakeholders
- Familiarity with AI concepts including hallucination and output reliability, LLM-based tooling, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP) standards, or the appetite to learn quickly
- Strong communication and stakeholder management skills; ability to translate technical concepts for business audiences and vice versa
- Data-oriented: comfortable defining KPIs, interpreting usage analytics, and using evidence to prioritize
- Experience with governed content platforms, asset repositories, or internal marketplace concepts is strongly preferred
- Familiarity with enterprise workflow/intake tools (such as ServiceNow) is preferred
- Prior consulting or professional services experience is a plus
We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person's unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.
We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M. The possibilities are endless for high-performing and passionate professionals.
Regular employees working 30 or more hours per week are also entitled to participate in Alvarez & Marsal Holdings' fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez & Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type. Click here for more information regarding A&M's benefits programs.
The salary range is $160,000 - $190,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance. Please ask your recruiter for details.
About Alvarez & Marsal
Sourced by ZipRecruiter
Industry
Business management consulting
Company size
5,001 - 10,000 Employees
Headquarters location
New York, NY, US
Year founded
1983