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Data Taxonomy Jobs in Decatur, GA (NOW HIRING)

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Product Analyst

Atlanta, GA · Hybrid

Familiarity with experimentation platforms and modern data stacks. * Exposure to event taxonomy design or tracking plan concepts. * Demonstrated ability to apply AI tools to meaningfully improve ...

Pep

Join pep! Resume Collection

Atlanta, GA · On-site

We unite cutting-edge media intelligence and data solutions, world-class creativity, next ... Taxonomy, asset QA, metadata, fulfillment * Consulting: Stewardship & compliance, incentives ...

OneTrust

UX Research Ops

Atlanta, GA · On-site

Pendo, Maze), including permissions, standards, documentation, and taxonomy. * Act as a trusted ... clearly document data sources, inputs, methodologies, and limitations. * Partner with Legal ...

AmNet Services, Inc.

Project Manager - IV

Alpharetta, GA

$54.50 - $72.25/hr

Whether an off-the-shelf or custom solution is needed, we'll create a solution and push the data on ... taxonomy (different areas) Ensure accurate site search results for ad-hoc and short term events ...

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All JobsData Taxonomy JobsData Taxonomy Jobs in Decatur, GA

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?

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 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 Decatur, GA? For Data Taxonomy jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Data Taxonomy jobs in Decatur, GA look for? The top searched job categories for Data Taxonomy jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Data Taxonomy jobs? Cities near Decatur, GA with the most Data Taxonomy job openings:
Data Taxonomy jobs near you
Infographic showing various Data Taxonomy job openings in Decatur, GA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.
Sr. Manager, Knowledge Management & CX Enablement

Sr. Manager, Knowledge Management & CX Enablement

CallRail

Atlanta, GA

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago

Job description

The Position

CallRail is looking for a Sr. Manager, Knowledge Management and Training to lead the team accountable for the strategy and execution of knowledge management, technical documentation, support training, and quality assurance of a knowledge ecosystem that serves both human support specialists and AI-powered support systems. In this role you will design and execute programs, manage tools and create processes that enable the Customer Experience team at CallRail to provide best-in-class technical solutioning to our clients. You will also design and manage an enablement program that champions a shift in how our Support team engages with customers - moving from a reactive, ticket-first mindset to a proactive, attribution-informed approach that deepens customer understanding and drives long-term retention. 

Core Focus
  • Support Help Center: Own the centralized knowledge platform that supports CX responses and customer support workstreams
  • Knowledge Management: Governing content strategy, taxonomy, and freshness across all knowledge bases
  • Technical Writing: Oversee the production and maintenance of structured documentation for our front-line support, customer and AI consumption
  • CX Training: Design and deliver curriculum across new-hire and ongoing programs that shift towards attribution-informed and customer-first engagement
  • Quality Assurance: Establishing QA frameworks to improve accuracy of content and AI deflection quality
What You'll Do 
  • Lead, coach, and develop a team of three specialists across technical writing, training, and QA
  • Define and execute a training and enablement strategy that scales alongside product and team growth
  • Partner cross-functionally with Customer Support, Product, Engineering, Marketing, and Revenue Operations to ensure knowledge keeps pace with releases and company direction
  • Build and report on OKRs, KPIs, and program health metrics to CX leadership on a regular cadence
  • Establish documentation standards that support both human readability and structured AI ingestion (RAG pipelines, AI agent grounding)
  • Own the knowledge base governance model - taxonomy, content lifecycle, ownership mapping, and deprecation workflows
  • Serve as the primary stakeholder for knowledge tooling - managing the roadmap for the help center CMS, internal wiki, and any AI knowledge connectors
  • Drive content creation and auditing cadences; ensure alignment between knowledge base content and actual specialists and AI behavior
  • Develop mechanism and scorecards to evaluate the accuracy and quality of AI support responses, identify knowledge and training gaps that create deflection failures to drive improvement.
  • Stay current on AI support tooling trends and proactively recommend improvements to CallRail's AI-assisted support architecture
  • Build and embed customer-centric training tracks that deepen support specialists'' understanding of marketing attribution - including call tracking, source attribution, and how CallRail data informs customer business decisions 
  • Partner with Product and Marketing to develop enablement content that equips specialists to speak credibly about attribution concepts, campaign ROI, and the broader CallRail value story
 What You'll Need
  • 6+ years in knowledge management, support enablement, technical writing, or adjacent CX disciplines
  • 2+ years managing cross-functional initiatives with either direct or indirect management experience
  • Experience with AI support tooling and how content structure affects AI performance
  • Experience with LMS platforms (Lessonly/Seismic preferred) and help center CMS tooling preferred
  • Demonstrated experience building documentation or training programs at a SaaS company
    Hands-on experience configuring or prompting AI support agents
  • Familiarity with marketing attribution concepts - call tracking, UTM parameters, multi-touch attribution, or campaign ROI analysis
  • Familiarity with the CallRail product or call tracking / conversation intelligence category
  • Background in instructional design, learning principles, or formal QA methodology
  • Working knowledge of the broader CX tech stack: Zendesk, Asana
Skills & Traits 
  • Exceptional written communication and strong analytical mindset
  • Cross-functional relationship builder with proven ability to influence without authority
  • Highly organized with experience managing concurrent projects and tight timelines
  • Genuine customer empathy and a desire to shift teams from task completion toward customer outcomes
  • Curiosity about AI-assisted support and a genuine desire to build for both human and automated consumers of content

 If you do not meet all the requirements listed, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that aligns with your skills and experience.

 Additional Perks
  • Healthcare (one option covered at 100% for employees), Dental & Vision Coverage
  • Competitive HSA with company matching
  • Paid parental leave
  • Flexible vacation policy
  • 401K options with company dollar-for-dollar match
  • Employee stock options available from day one
  • $2,000 annual educational allowance
  • Catered lunch every Tuesday * an in-office perk
  • MARTA transportation or office parking expenses covered
  • Employee charitable donation company match, up to $500 annually
  • Regular company outings and events 
  • Hybrid work options with $500 office stipend to set up your home office
  • Designated bike storage

This position is based out of our Atlanta office and will require that you come into the office on Tuesdays and Thursdays. 

 

Learn more: https://www.callrail.com/about/ 

You Are Welcome Here

CallRail understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company's core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, and persons of all sexual orientations and gender identities and expressions. In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc).
Continuous adoption of AI technologies is essential to this role. You will be expected to leverage AI platforms to streamline operations, solve complex problems, and stay ahead of industry benchmarks.

Apply