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Manager Knowledge Graph Jobs in Florida (NOW HIRING)

Must be proficient in metadata management frameworks, knowledge graph integration, and structured data cataloging to ensure research findings are accessible and aligned with DoD and Intelligence ...

This role manages knowledge graph metadata integration, data governance, and cataloging in Databricks Unity Catalog. This future opportunity is contingent upon award. * The ML Administrator is ...

Lead delivery of projects focused on ontology development and knowledge graph integration * Manage project scope, schedule, cost, and performance across technical teams * Coordinate efforts across ...

Lead delivery of projects focused on ontology development and knowledge graph integration * Manage project scope, schedule, cost, and performance across technical teams * Coordinate efforts across ...

Stakeholder management across multiple business units Desired Skills * Experience with Ontop or similar virtual knowledge graph tools * Familiarity with Supply Chain Reference Ontology (SCRO ...

Stakeholder management across multiple business units Desired Skills * Experience with Ontop or similar virtual knowledge graph tools * Familiarity with Supply Chain Reference Ontology (SCRO ...

Project Manager LCAT: Senior Location: SOUTHCOM HQ, Doral, FL / On-site Office: U.S. SOUTHERN ... Skilled at complex technical projects, particularly in ontology development, knowledge graph ...

Project Manager LCAT: Senior Location: SOUTHCOM HQ, Doral, FL / On-site Office: U.S. SOUTHERN ... Skilled at complex technical projects, particularly in ontology development, knowledge graph ...

Skilled at complex technical projects, particularly in ontology development, knowledge graph ... Project Management Professional (PMP), Certified Scrum Master (CSM), and Certified Systems ...

Skilled at complex technical projects, particularly in ontology development, knowledge graph ... Experience with Project Management Professional (PMP), Certified Scrum Master (CSM), and Certified ...

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Manager Knowledge Graph information

What is the difference between Manager Knowledge Graph vs Data Analyst?

AspectManager Knowledge GraphData Analyst
Required CredentialsBachelor's degree in Computer Science, Data Science, or related field; knowledge of graph databasesBachelor's degree in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentCollaborative teams, often in tech or data-driven companiesOffice setting, analyzing data sets, creating reports
Industry UsageUsed in AI, semantic web, knowledge management projectsUsed across finance, marketing, healthcare for data insights

The Manager Knowledge Graph focuses on designing and managing knowledge graph systems, requiring expertise in graph databases and data modeling. Data Analysts primarily interpret data to generate insights, using statistical tools. While both roles work with data, the Manager Knowledge Graph is more technical and system-oriented, whereas Data Analysts focus on data interpretation and reporting.

What jobs make $1,000,000 a year?

In the context of a Manager Knowledge Graph or related high-level roles, earning $1,000,000 annually typically involves executive positions such as Chief Data Officer, Chief Technology Officer, or senior AI/ML executives, often in large technology or data-driven companies. These roles require extensive experience, advanced skills in data management, and leadership responsibilities, with compensation often including base salary, bonuses, and stock options. Such high earnings are rare and usually associated with top-tier organizations or successful startups.

What can I do with a knowledge graph?

A Manager Knowledge Graph can utilize structured data to improve data integration, support decision-making, and enhance search and recommendation systems. It involves skills in data modeling, ontology development, and graph database tools like Neo4j or GraphDB. This role enables organizations to organize complex information for better insights and automation.

Is the knowledge graph still relevant?

The role of a Manager Knowledge Graph remains relevant as organizations increasingly rely on structured data and semantic technologies to improve data integration, search, and decision-making. Knowledge graph management skills, including understanding graph databases and data modeling, are valuable in current data-driven environments. Staying updated with tools like Neo4j or RDF is beneficial for this role.

What job makes $10,000 a month without a degree?

Roles such as sales managers, real estate brokers, or skilled trades like electricians and plumbers can earn $10,000 or more monthly without a college degree, often through commissions, business ownership, or experience. Success in these jobs typically depends on skills, networking, and performance rather than formal education.
What are the most commonly searched types of Knowledge Graph jobs in Florida? The most popular types of Knowledge Graph jobs in Florida are:
What cities in Florida are hiring for Manager Knowledge Graph jobs? Cities in Florida with the most Manager Knowledge Graph job openings:
Knowledge Engineer / Semantic Expert for AI Sr Manager

Knowledge Engineer / Semantic Expert for AI Sr Manager

Accenture

Tampa, FL • On-site

$98K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

45th of 426 rated business services


Job description

We Are:

Accenture is helping companies use generative AI and semantic layer to reinvent their enterprise and optimize business functions for breakthrough innovation and competitive advantage. With over 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company our Advanced Data & AI team brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are:

As a Knowledge Engineer, you formulate real-world problems into practical, efficient, and scalable AI and Knowledge Graph problems.

  • You lead a team and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and applying these techniques with the right architecture to solve real-world problems.

  • You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios).

  • As needed by the specific problem, you design, evaluate, and maintain ontologies.

  • As a significant part of this role, you will be justifying the value of innovative generative AI and knowledge graph approaches in the business problems, and you'll be expected to construct methodologies and data architectures that clearly demonstrate their value.

  • You'll also work collaboratively with teams from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals.

The Work:

  • Build Knowledge Graph solutions that transform clients' data architecture.

  • Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly

  • Work with the project team, team leaders, project delivery leads, and client stakeholders to create stand-out Data & AI offerings powered by graph-based technologies

  • Develop strong relationships with clients and gain the trust of key advisors

  • Make the business case for the semantic layer solution recommended to the client

  • Pitch in on Accenture sales efforts when needed

  • Continue to learn and develop cutting edge Data & AI solutions, especially agentic technologies, provide through leadership on technology trends, new opportunities and innovations, or foreseeable limitations, risks, and concerns.

Travel may be required for this role. The amount of travel will vary from 0% to 100% depending on business need and client requirements.

  • Here's what you need
  • Bachelor's degree or equivalent (minimum 12 years' work experience). If Associate's Degree, must have equivalent minimum 6-year work experience

  • Minimum of 4 years of experience in designing and developing knowledge graph solutions and graph-based machine learning models, functional and technical experience required.

  • Minimum of 3 end-to-end data pipeline implementation for AI applications, particularly those involving LLMs or similar models, including hands-on design and configuration

  • Minimum of 6years strong knowledge of relational databases, object stores, graph databases (e.g. Stardog, Neo4J, Amazon Neptune), and vector databases

  • Minimum of 6years of experience in Knowledge Graph technologies (e.g. RDF, SPARQL, LPG, SHACL)

  • Minimum of 6 years of experience with schema design, ontology management, and Knowledge Graph curation.

  • Minimum of 6 years of managerial experience working with people with the ability to clearly explain the value of semantic layer and knowledge graphs to senior business and technology stakeholders, and proven track record selling and /or pre-sales and delivering data transformation programs and developing teams.

Bonus Points If:

  • Experience in Practical experience with NLP techniques and/or Search Techniques, prompt engineering

  • Experience with LLMs for enterprise-scale applications.

  • 5+ years of hands-on experience with cloud platforms (AWS, Azure, GCP)

  • 5+ years of experience inPython, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow)

  • Strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones.

  • You have external client-facing consulting experience

  • Ph.D. in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.

  • Broad experience in diverse ML techniques and agentic systems.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.We anticipate this job posting will be posted until 07/21/2026.Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture

Role Location Annual Salary RangeCalifornia $132,500 to $338,300Cleveland $122,700 to $270,600Colorado $132,500 to $292,200District of Columbia $141,100 to $311,200Illinois $122,700 to $292,200Maine $112,900 to $249,000Maryland $132,500 to $292,200Massachusetts $132,500 to $311,200Minnesota $132,500 to $292,200New York $122,700 to $338,300New Jersey $141,100 to $338,300Virginia $122,700 to $311,200Washington $141,100 to $311,200

About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

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Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities.Read more here

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If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us anemailor speak with your recruiter.

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Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

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