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Data Taxonomy Jobs in Ohio (NOW HIRING)

Aep

ITSM ServiceNow Discovery Process Owner

Columbus, OH

$52.25 - $71.75/hr

Align Discovery outputs with Common Service Data Model (CSDM) and organizational CI taxonomy. Knowledge of implementation of security requirements for ITSM processes. * Develop and support a ...

Accenture

Senior Knowledge Engineer

Columbus, OH

$100K - $138K/yr

Taxonomy and thesaurus development * Semantic modeling and linked data principles * Schema design (schema.org, custom domain schemas) and W3C standards Knowledge Graph Technologies * Property graph ...

New

HAHN Group GmbH

$104 - $162/hr

Defining the company-wide framework for risk management, including risk appetite, risk taxonomy ... data protection, are an advantage * Strong assertiveness and ability to enforce decisions * Very ...

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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 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.

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 Ohio?

For Data Taxonomy jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Data Taxonomy jobs in Ohio look for?

The top searched job categories for Data Taxonomy jobs in Ohio are:

What cities in Ohio are hiring for Data Taxonomy jobs?

Cities in Ohio with the most Data Taxonomy job openings:

Data Taxonomy jobs near you
Infographic showing various Data Taxonomy job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Marketing Operations & AI GTM Leader

PartsSource

Cleveland, OH

Full-time

Re-posted 22 days ago

PartsSource rating

9.1

Company rating: 9.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

About the Job Opportunity

The Marketing Operations Manager owns the reliability, governance, and day-to-day execution of the marketing technology stack and enables high-quality marketing execution across the business. This role blends operational discipline with hands-on system administration to ensure marketing tools work as intended, data is clean, and campaigns run smoothly. You will partner closely with the GTM Engineer, RevOps, Sales Ops, and Data teams to scale PartsSource's end-to-end commercial technology ecosystem.

What You'll DoMarketing Technology Ownership & Administration

(Marketing - Marketing Automation, Sales Enablement: CRM Optimization)

  • Own day-to-day administration of HubSpot, including campaigns, workflows, lists, lifecycle stages, and properties

  • Manage system configuration, permissions, documentation, and change management

  • Partner with the GTM Engineer on enhancements and integrations, ensuring designs are executed accurately

  • Monitor system performance and proactively resolve issues before they impact execution

Campaign Execution & Continuous Optimization

(Marketing - Demand Generation: Campaign Planning & Execution, Marketing Automation)

  • Support execution of demand, lifecycle, and account-based marketing campaigns across channels

  • Enable automated A/B testing across messaging, offers, timing, and channel mix

  • Train marketers on test design, execution, and interpretation within HubSpot and related tools

  • Translate results into actionable recommendations that improve conversion and engagement

  • Perform quality assurance prior to launches to prevent data or workflow issues

Lead Scoring, Intent & Buying Group Coverage

(Marketing - Demand Generation, Sales Revenue Operations)

  • Own operational implementation of lead scoring and marketing intent models

  • Support evolution from MQL-centric scoring to account and buying group coverage models

  • Operationalize engagement-based and intent-driven workflows aligned to ABM strategies

  • Partner with Marketing, Sales, and RevOps to ensure scoring models are understood and trusted

Data Governance & Quality

(Technology - Data Quality & Governance)

  • Enforce campaign taxonomy, UTM standards, and data entry conventions

  • Monitor data quality and flag issues that impact reporting or downstream use

  • Coordinate with the GTM Data Engineer on schema changes and data requirements

  • Maintain documentation, runbooks, and process standards

Enablement & Cross-Functional Execution

(Sales Enablement, Business Process Excellence)

  • Train marketing teams on tools, workflows, and best practices

  • Serve as first point of contact for marketing system troubleshooting

  • Identify automation opportunities to reduce manual effort

  • Partner with IT, Security, and Data teams to ensure scalable, compliant systems

What You'll Bring

Your Background

  • 4+ years of experience in Marketing Operations, Marketing Systems, or a related role

  • Hands-on administration experience with HubSpot; experience with 6sense and AdTech tools required

  • Strong understanding of B2B marketing funnels and lifecycle management

  • Experience operationalizing lead scoring, intent signals, and account-level engagement metrics

  • Proven ability to work cross-functionally with Marketing, RevOps, Sales Ops, and Data teams

Preferred

  • Experience supporting demand generation and ABM workflows

  • Familiarity with AI/ML use cases in GTM operations and automation

  • Knowledge of B2B SaaS commercial operations and performance metrics

Who We Want to Meet

  • Act Like an Owner - Accountability & Execution: You take ownership of marketing systems and follow through to reliable outcomes.

  • Serve with Purpose - Business Impact: You enable marketers to focus on results by removing operational friction.

  • Adapt to Thrive - Learning Agility: You quickly learn new tools, workflows, and GTM approaches as the stack evolves.

  • Collaborate to Win - Influence & Communication: You partner effectively across Marketing, RevOps, Sales, and Data.

  • Challenge the Status Quo - Continuous Improvement: You look for better ways to automate, standardize, and scale execution.

What PartsSource employees say

Pay

Hours and flexibility

Workplace

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