1

Metadata Assistant Jobs in Georgia (NOW HIRING)

Solution Architect - AI & Data

Atlanta, GA

$60.50 - $79.75/hr

Design end-to-end solution architectures spanning Now Assist, AI Agents, Agentic workflows, AI ... Establish data governance frameworks that position metadata management, data stewardship, and ...

Contribute to the development and upkeep of data dictionaries and metadata documentation. * Assist in drafting and maintaining standard operating procedures (SOPs) for data workflows. * Support data ...

Solution Architect - AI & Data

Atlanta, GA · On-site +1

$60.50 - $79.75/hr

Design end-to-end solution architectures spanning Now Assist, AI Agents, Agentic workflows, AI ... Establish data governance frameworks that position metadata management, data stewardship, and ...

$50.75 - $66/hr

... metadata * Provide input to data governance teams to ensure that data models align with data governance policies and standards * Assist in planning and effort estimation for data initiatives.

Participate in QA/QC and metadata maintenance to ensure data integrity. * Assist in data acquisition and documentation , following internal GIS standards. * Attend training sessions to enhance ...

Be Seen First

Upload and organize content within the Insightful platform, ensuring proper metadata tagging and ... * Assist in drafting and distributing communications, including newsletters, event follow-ups, and ...

New

next page

Showing results 1-20

Metadata Assistant information

See Georgia salary details

$6

$17

$32

How much do metadata assistant jobs pay per hour?

As of May 30, 2026, the average hourly pay for metadata assistant in Georgia is $17.38, according to ZipRecruiter salary data. Most workers in this role earn between $13.61 and $19.09 per hour, depending on experience, location, and employer.

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

To thrive as a Metadata Assistant, you need a detail-oriented mindset, familiarity with metadata standards, and a background in library science or information management. Experience with cataloging systems, library management software, and knowledge of standards such as MARC or Dublin Core is commonly required. Strong organizational skills, accuracy, and effective communication help you excel in updating and maintaining metadata records. These skills ensure the accurate organization, retrieval, and accessibility of digital and physical information resources.

What are some common challenges faced by Metadata Assistants, and how can they be addressed?

Metadata Assistants often encounter challenges such as ensuring data accuracy, maintaining consistency across different cataloging standards, and managing large volumes of information. Staying up-to-date with changing metadata standards and mastering various database systems can also be demanding. To address these challenges, it’s helpful to participate in ongoing professional development, collaborate closely with catalogers and IT staff, and utilize quality control tools to regularly audit and correct metadata entries. Building strong communication skills and being detail-oriented are key assets in this role.

What are Metadata Assistants?

Metadata Assistants are professionals who support the organization, management, and maintenance of metadata in libraries, archives, museums, or digital collections. Their primary role involves creating, editing, and ensuring the accuracy of metadata records, which helps users locate and access resources efficiently. They may also assist with data entry, quality control, and the application of cataloging standards. Metadata Assistants work closely with librarians, archivists, and other information professionals to maintain high-quality information systems.

What is the difference between Metadata Assistant vs Data Entry Clerk?

AspectMetadata AssistantData Entry Clerk
Required SkillsKnowledge of metadata standards, attention to detail, basic database skillsTyping accuracy, data input, basic computer skills
Work EnvironmentLibraries, archives, digital repositoriesOffices, administrative settings
CertificationsOften none, but familiarity with cataloging standards helpsNone typically required
Industry UsageLibraries, museums, digital asset managementVarious industries, administrative roles

The main difference is that Metadata Assistants focus on organizing and maintaining digital or physical metadata to improve asset retrieval, while Data Entry Clerks primarily input and manage data accuracy in databases. Metadata Assistants require knowledge of metadata standards and work in specialized environments, whereas Data Entry Clerks perform general data input tasks across various industries.

What are the most commonly searched types of Metadata jobs in Georgia? The most popular types of Metadata jobs in Georgia are:
What are popular job titles related to Metadata Assistant jobs in Georgia? For Metadata Assistant jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Metadata Assistant jobs in Georgia look for? The top searched job categories for Metadata Assistant jobs in Georgia are:
What cities in Georgia are hiring for Metadata Assistant jobs? Cities in Georgia with the most Metadata Assistant job openings:
Infographic showing various Metadata Assistant job openings in Georgia as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $36,155 per year, or $17.4 per hour.
Solution Architect - AI & Data

Solution Architect - AI & Data

ServiceNow

Atlanta, GA

$60.50 - $79.75/hr

Full-time

Posted 11 days ago


Job description

Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

The Team

The Customer Excellence Group at ServiceNow works with customers to help them achieve their business outcomes by providing prescriptive guidance. As part of the Customer Excellence Group, you will work with our customers to drive consumption, adoption, and customer satisfaction and ultimately help our customers grow their business on the ServiceNow platform by getting them to see the value of their ServiceNow investment.

Solution Architect - AI & Data, Expert Services

As part of the Expert Services AI Practice, the Solution Architect - AI & Data will serve as a senior strategic and technical lead, reshaping how enterprise organizations adopt AI at the core of their operating models. This role goes beyond implementation — it bridges C-suite advisory, enterprise architecture, and organizational change to deliver lasting transformation outcomes.

The Solution Architect - AI & Data will operate at the intersection of AI strategy, solution architecture, and customer success — leading engagements from transformation vision and use-case definition through architecture design, governance, adoption, and ongoing value realization.

What you will do in this role:

AI Strategy & Transformation Advisory

  • Lead enterprise AI transformation engagements — from opportunity identification and business case development through to operating model design and value realization.
  • Advise C-suite and senior stakeholders on AI strategy, prioritization frameworks, and transformation roadmaps tailored to their industry, maturity, and risk appetite.
  • Facilitate discovery workshops, current-state assessments, and future-state visioning sessions to establish a shared transformation agenda.
  • Define AI-enabled target operating models, including process redesign, workforce impact analysis, and governance structures.

Solution Architecture & Delivery Leadership

  • Design end-to-end solution architectures spanning Now Assist, AI Agents, Agentic workflows, AI Control Tower, RAG, knowledge graphs, and enterprise integrations (A2A, MCP).
  • Lead scoping and solutioning for complex, multi-workload AI engagements — ensuring architectural integrity, scalability, and alignment to customer outcomes.
  • Provide hands-on architecture leadership during pilot and early-phase delivery, establishing patterns and standards for broader team execution.
  • Develop reusable practice IP: reference architectures, deployment patterns, transformation playbooks, and verticalized use-case catalogs.
  • Architect enterprise data catalog strategies using platforms defining target-state designs that align metadata management, data lineage, and governance structures to broader AI and business objectives.
  • Define integration patterns and architectural standards for connecting data catalog solutions across heterogeneous enterprise environments — cloud platforms, data warehouses, BI layers, and ServiceNow workflows.

Data Architecture & Catalog Strategy

  • Lead the architectural design of enterprise data catalog programs — defining scope, platform selection criteria, governance operating models, and phased adoption roadmaps.
  • Advise on the strategic application of knowledge graph concepts, semantic technologies, and ontological frameworks (RDF, SPARQL) to enterprise data and AI use cases.
  • Shape data architecture principles and standards that underpin AI readiness — including data lineage, metadata quality, classification taxonomies, and access governance.
  • Translate complex data architecture requirements into clear, actionable designs that can be executed by delivery and technical teams.
  • Define success metrics and maturity benchmarks for data catalog programs, enabling customers to track progress and demonstrate value to executive stakeholders.

AI Governance, Risk & Responsible AI

  • Define and embed AI governance frameworks covering data stewardship, model risk, bias controls, audit trails, and compliance postures.
  • Support customers in operationalize responsible AI practices aligned to regulatory requirements and internal policies.
  • Establish data governance frameworks that position metadata management, data stewardship, and knowledge graph capabilities as foundational trust layers for enterprise AI programs.
  • Guide customers in regulated industries on aligning data catalog and governance architectures to compliance and regulatory obligations, embedding controls into the design rather than as an afterthought.
  • Partner with AI Control Tower to establish monitoring, observability, and continuous optimization capabilities post-deployment.

Adoption, Enablement & Change Management

  • Lead AI adoption strategies including readiness assessments, stakeholder engagement plans, AI literacy programmers, and change communications.
  • Define adoption KPIs and value realization metrics; track and report outcomes; provide consultative guidance for continuous optimization and expansion.
  • Coach customer teams to build internal AI capability, reducing dependency and accelerating long-term self-sufficiency.
  • Monitor adoption, usage, and value realization metrics post-deployment; provide recommendations for risk mitigation and growth.

Practice Development & Thought Leadership

  • Collaborate cross-functionally with Sales, Solution Consulting, Customer Success, Platform, and Product teams to embed AI advisory across the customer lifecycle.
  • Build and maintain industry-specific AI advisory playbooks and frameworks — verticalized use-case catalogs, value models, governance templates, and deployment patterns — to support scalable, repeatable delivery.
  • Act as a thought-leader internally and externally: contribute to white papers, points-of-view, reference architectures, best-practice guides, and represent the organization at AI forums and customer briefings.
  • Support pre-sales by qualifying opportunities, shaping proposals, and presenting transformation vision to executive buyers.
Qualifications

To be successful in this role, you will have

  • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
  • 10+ years of experience in management consulting, enterprise architecture, or a senior technology advisory role, with a demonstrated focus on Artificial Intelligence, Machine Learning, or digital transformation at enterprise scale.
  • ServiceNow domain knowledge, including: Now Assist and Generative AI Skills / Skill Kit, AI Agents and Agentic workflows, AI Control Tower, Retrieval-Augmented Generation (RAG), Knowledge Graphs, Agent-to-Agent (A2A), and Model Context Protocol (MCP).
  • Proven track record designing and managing complex, multi-stakeholder AI or digital-transformation engagements — including use-case definition, business case development, integration, data strategy, governance, and operational adoption.
  • Strong understanding of enterprise data architecture, data quality, knowledge management, integrations, and compliance and regulatory frameworks.
  • Demonstrated ability to architect enterprise data catalog and metadata management strategies, with knowledge of platforms.
  • Excellent communication and interpersonal skills — ability to articulate technical and business value to C-level executives, align stakeholders, and influence strategic decision-making.
  • Experience working in fast-paced, dynamic environments with capability to manage ambiguity and tailor consulting deliverables to different customer maturity levels, from early adopters to AI-ready enterprises.
  • Working knowledge of knowledge graph principles, semantic technologies, and standards (RDF, SPARQL) as applied to enterprise data architecture.
  • Broad familiarity with the ServiceNow platform and modules (ITSM, CSM, FSM, HRSD, App Engine), ideally including implementation or architecture experience. ServiceNow certifications (Certified System Administrator, Certified Implementation Specialist, Certified Technical Architect) are desirable.
  • AI/ML certifications (e.g. AWS Machine Learning Specialty, Google Professional Machine Learning Engineer, or equivalent) are desirable.
  • Background in one or more target industries — Financial Services, Healthcare, Public Sector, Manufacturing, or Retail — is highly desirable.

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. 


ServiceNow logo

About ServiceNow

Sourced by ZipRecruiter

At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can't wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you. With more than 7,400+ customers, we serve approximately 80% of the Fortune 500, and we're proud to be one of FORTUNE's 100 Best Companies to Work For® and World's Most Admired Companies® 2022.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2004