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Knowledge Manager Jobs in Georgetown, TX (NOW HIRING)

Information Knowledge Management; and * Legal and Real Estate Department budget. Legal Program Coordination: * Provides professional-level support to the Legal Department, including skilled ...

Information Knowledge Management; and * Legal and Real Estate Department budget. * Legal Program Coordination : * Provides professional-level support to the Legal Department, including skilled ...

Knowledge Management & Information Control** • Maintain organized knowledge repositories supporting program execution • Ensure proper handling of sensitive information, including PII compliance ...

Manager, Technical Services

Austin, TX · On-site

$115K - $115K/yr

Experience with knowledge management, case deflection, and support enablement programs * Experience building processes for globally distributed or follow-the-sun support organizations * Experience ...

Manager, Technical Services

Austin, TX · Hybrid

$115K - $115K/yr

Experience with knowledge management, case deflection, and support enablement programs * Experience building processes for globally distributed or follow-the-sun support organizations * Experience ...

Manager, Technical Services Austin

Austin, TX · On-site

$115K - $115K/yr

Experience with knowledge management, case deflection, and support enablement programs * Experience building processes for globally distributed or follow‑the‑sun support organizations

Account Manager

Austin, TX · On-site +1

$84K - $95K/yr

Account Manager Time Type: Full Time Summary The Account Manager has responsibility for managing ... Maintains current knowledge of industry structure, trends, initiatives, and issues * Good ...

Technical Enablement Manager

Austin, TX · On-site

$165K - $191K/yr

About the Role The Technical Enablement Manager is responsible for driving technical readiness ... Create and maintain technical playbooks, demo guides, labs, job aids, and knowledge articles. Drive ...

Participate in JBPs and QBRs as experts on Creatives Knowledge Management (10%) * Build and maintain a creative performance repository accessible across teams * Lead quarterly creative performance ...

Participate in JBPs and QBRs as experts on Creatives Knowledge Management (10%) * Build and maintain a creative performance repository accessible across teams * Lead quarterly creative performance ...

Basic Qualifications: 5+ years of industry experience or equivalent knowledge of the asset management industry (i.e., operations, investment technology, compliance, alternatives etc.) Capable of ...

Technical Enablement Manager

Austin, TX · On-site

$165K - $191K/yr

This role partners closely with Solutions Engineering, Product Management, Product Marketing, and technical subject matter experts to ensure Solutions Engineers have the knowledge, confidence, and ...

Knowledge Management & Information Architecture • Define and evolve the organization's knowledge architecture -- the structures, systems, and processes that enable knowledge creation ...

Showing results 21-40

Knowledge Manager information

See Georgetown, TX salary details

$40.4K

$80K

$114.3K

How much do knowledge manager jobs pay per year?

As of Sep 10, 2026, the average yearly pay for knowledge manager in Georgetown, TX is $80,015.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,300.00 and $96,200.00 per year, depending on experience, location, and employer.

What is a knowledge manager?

A knowledge manager ensures that company policies, strategies, and initiatives are properly documented and accessed by authorized users. These professionals support process improvement and decision-making and may work in a variety of industries. As a knowledge manager, your duties involve organizing a knowledge database, analyzing the effectiveness of knowledge management programs, and acting as mediator to answer client and staff questions about related products and practices. To pursue a career as a knowledge manager, you typically need a degree in business, information technology, or a related field and relevant work experience. Additional qualifications include interpersonal, organizational, and project management skills, as well as attention to detail and resourcefulness.

What does a knowledge manager do?

A Knowledge Manager is responsible for organizing, managing, and optimizing the knowledge assets within an organization. They develop strategies and systems for capturing, storing, sharing, and utilizing information to improve efficiency, collaboration, and decision-making. Knowledge Managers often work with digital platforms, facilitate training, and encourage a culture of knowledge sharing among employees. Their role is crucial in ensuring that valuable organizational knowledge is preserved and accessible to those who need it.

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

To thrive as a Knowledge Manager, you need expertise in information management, content curation, and organizational strategy, often supported by a degree in library science, information systems, or a related field. Familiarity with knowledge management systems (KMS), collaboration platforms like SharePoint or Confluence, and relevant certifications such as Certified Knowledge Manager (CKM) are typically required. Strong communication, analytical thinking, and stakeholder engagement skills help drive knowledge-sharing initiatives and foster a culture of continuous learning. These skills ensure that organizational knowledge is efficiently captured, shared, and utilized, leading to improved decision-making and innovation.

How does a knowledge manager typically collaborate with other departments to ensure effective knowledge sharing?

Knowledge Managers work closely with various departments such as IT, HR, and operations to identify knowledge gaps, develop systems for information sharing, and promote best practices. They often facilitate workshops, create knowledge bases, and establish guidelines to ensure that valuable organizational knowledge is accessible and up-to-date. Regular interaction with team leaders and subject matter experts is essential to capture insights and tailor knowledge management strategies that support business objectives.

What is the difference between Knowledge Manager vs Content Specialist?

AspectKnowledge ManagerContent Specialist
Required CredentialsBachelor's degree, certifications in knowledge management or information systemsBachelor's degree, certifications in content creation or digital marketing
Work EnvironmentCorporate, IT, or organizational settings focusing on information systemsMarketing, media, or digital teams creating and managing content
Employer & Industry UsageUsed across industries to manage organizational knowledge assetsCommon in marketing, media, and digital content industries
Search & Comparison IntentUnderstanding roles related to organizational knowledgeComparing content creation and management roles

The Knowledge Manager focuses on organizing, maintaining, and improving organizational knowledge assets, often working with information systems and internal data. In contrast, the Content Specialist primarily creates, edits, and manages digital content for marketing or communication purposes. While both roles require strong communication skills and relevant certifications, their work environments and objectives differ significantly.

How much do knowledge managers make in the US?

Knowledge managers in the US typically earn a median annual salary of around $80,000 to $110,000, depending on experience, industry, and location. Senior roles or those with specialized skills in information systems or content management may earn higher salaries, often exceeding $120,000 annually.

What is the career path of a knowledge manager?

A knowledge manager typically starts in roles such as information specialist or librarian, then advances to senior knowledge management positions, team lead, or director. Career progression often involves developing expertise in information systems, data management, and collaboration tools, with certifications like CKM (Certified Knowledge Manager) supporting advancement.

What skills do you need to be a knowledge manager?

Knowledge managers need strong communication, organizational, and analytical skills to effectively organize and share information. They should be proficient with knowledge management tools and technologies, such as content management systems and collaboration platforms, and often require a background in information science, library science, or related fields.

What cities near Georgetown, TX are hiring for Knowledge Manager jobs?

Cities near Georgetown, TX with the most Knowledge Manager job openings:

Infographic showing various Knowledge Manager job openings in Georgetown, TX as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $80,015 per year, or $38.5 per hour.

Consultant Machine Learning & Knowledge Graph Engineer

Round Rock, TX • On-site

Dell, Inc.
Computer and Computer Peripheral Equipment and Software Wholesalers • 10K+ employees

Full-time

Re-posted 8 days ago


Job description


Consultant Machine Learning & Knowledge Graph Engineer
Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What's more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.
Join us to do the best work of your career and make a profound impact as Consultant ML & KG Engineer on our growing and dynamic team in Round Rock, Texas.
What you'll achieve
Lead the architecture, development, and deployment of enterprise scale ML solutions across Dell's global ecosystem. Drive MLOps standards, build production grade ML services, and collaborate across engineering, product, and platform teams to enable AI at scale.scale ML solutions across Dell's global ecosystem. As a Consultant Machine Learning & Knowledge Graph Engineer, you will play a pivotal role in advancing our AI and ML capabilities and creating Enterprise wide KG marketplace and Ontology layouts. You will be responsible for designing, building, and operationalizing machine learning systems, including next generation agentic and GenAI powered applications. You will drive and execute our broader AI/ML strategy. You will also be responsible to architect production-grade Knowledge Graph platforms, design semantic data layers that power Agentic AI, and drive the convergence of graph technologies with large-scale data engineering ecosystems. This role demands a rare combination of deep graph expertise, distributed systems mastery, and strategic business influence. You will work deeply across data pipelines, model development, optimization, and production deployment to deliver scalable, high performance ML solutions.
You will
  • Lead the end-to-end Agentic lifecycle-from conceptualizing, prototyping and driving delivery with engineering teams and design and build autonomous AI agents, ML systems, pipelines, and inference services.
  • Work with business leads to imagine agentic products and drive accelerated delivery through Spec Driven Development and implement MLOps practices including CI/CD, model monitoring, drift detection, and automated retraining.
  • Collaborate with Data Engineering and Platform teams to ensure data, infrastructure, and governance readiness along with providing technical leadership while integrating emerging AI/ML technologies and managing production incidents.
  • Design, build, and scale enterprise Knowledge Graph platforms using Neo4j and/or Stardog, establishing graph-native data models that enable entity resolution, relationship discovery, and semantic reasoning across business domains.
  • Define and govern enterprise ontologies (OWL 2), taxonomies, and semantic schemas that provide a unified, machine-interpretable view of Dell's data assets, ensuring consistency, reusability, and inferencing capability
  • Architect graph-backed Retrieval-Augmented Generation (RAG) systems, tool-calling interfaces, and dynamic prompt-to-graph query pipelines that fuel autonomous AI agent decision-making with deterministic, explainable knowledge

Take the First Step Towards Your Dream Career
Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role:
Essential Requirements:
  • 12+ years of experience delivering complex AI/ML or applied science systems, including deep learning, machine learning, and LLM-based solutions.
  • Advanced Python expertise with strong knowledge of ETL pipelines (Airflow preferred) and modern data-warehousing concepts.
  • Graph Architecture Mastery: Extensive hands-on experience designing and operating production-grade graph systems using Neo4j (Cypher, GDS, APOC, AuraDB, Causal Clustering) and/or Stardog (SPARQL, OWL 2 reasoning, Virtual Graphs, SHACL validation)
  • Distributed Systems and Data Scale: Expert-level command over PySpark, Kafka, data lakehouses (Apache Iceberg, Delta Lake), and enterprise orchestration (Airflow), with proven ability to integrate these with graph ecosystems
  • Strong software engineering background with hands-on experience in AI frameworks, cloud environments, and domains such as ML, NLP, IR, recommender systems, and LLMs and proven experience with Docker, Kubernetes, and major cloud platforms (AWS/GCP/Azure), including training, fine-tuning, and applying LLMs for agentic AI applications.

Desirable Requirements
  • PhD or Master's degree in Technology, Computer Science, Machine Learning or equivalent quantitative field
  • Familiarity leveraging graph-based techniques, semantic search, hybrid search systems, and implementing solutions that combine traditional IR methods with machine learning models to enhance search relevancy accuracy and efficiency. Familiarity with large scale data handling when dealing with telemetry systems.

DELL logo

About DELL

Sourced by ZipRecruiter

Dell Technologies helps organizations and individuals build a brighter digital tomorrow. Our company is made up of more than 150,000 people, located in over 180 locations around the world. We're proud to be a diverse and inclusive team and have an endless passion for our mission to drive human progress.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Round Rock, TX, US

Year founded

1984