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Manager Semantic Jobs in Missouri (NOW HIRING)

Jobtailor

Lead Data and Ontology Engineer

California, MO · On-site

$140 - $210/hr

Proficiency in designing and implementing Data Catalogs and semantic metadata management solutions. * Experience building solutions on top of federated data architectures involving relational ...

Jobtailor

Principal Data Engineer - MDM

California, MO · On-site

$180 - $240/hr

Deep expertise in Knowledge Graph technologies, ontology engineering, semantic modeling, linked data, graph databases, and enterprise metadata management. * Strong hands‑on experience with graph ...

Focus Financial Partners

BI & Data Engineer

Saint Louis, MO · Hybrid

$111K - $133K/yr

BI Reporting & Semantic Model Consumption: Design, build, and maintain Power BI reports and ... Manage the full lifecycle of BI reports and data applications, including version control (Git ...

Focus Financial Partners

BI & Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

BI Reporting & Semantic Model Consumption: Design, build, and maintain Power BI reports and ... Manage the full lifecycle of BI reports and data applications, including version control (Git ...

Jobgether

Solid understanding of lakehouse architecture, data governance, metadata management, data products, and semantic modeling. * Practical knowledge of AI/GenAI architecture patterns, including LLMs, RAG ...

Jobtailor

Lead Data Engineer - Governance

California, MO · On-site

$140 - $190/hr

Contribute to the internal Data Marketplace by defining governance requirements for semantic data products * Drive data governance training, change management, and adoption across business ...

Walmart

Staff, Software Engineer - Python/GenAI

Noel, MO · On-site

$110K - $220K/yr

We strive to continuously improve people technology and products to help managers and associates so ... Build and maintain evaluation pipelines for semantic router data , including the development of ...

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All JobsSemantic JobsManager Semantic JobsManager Semantic Jobs in Missouri

Manager Semantic information

What is the difference between Manager Semantic vs Data Analyst?

AspectManager SemanticData Analyst
Required CredentialsBachelor's degree in relevant field, often with certifications in semantic technologies or data managementBachelor's degree in data science, statistics, or related field; certifications in data analysis tools are common
Work EnvironmentTeam leadership, strategic planning, overseeing semantic projectsData collection, analysis, reporting, and visualization
Employer & Industry UsageUsed in tech, AI, and data-driven companies managing semantic dataUsed across industries for data interpretation and decision-making

The main difference is that a Manager Semantic focuses on overseeing semantic data projects and managing teams, while a Data Analyst primarily analyzes data to generate insights. Both roles require strong analytical skills, but the Manager Semantic emphasizes project management and semantic technologies, whereas the Data Analyst concentrates on data interpretation and reporting.

What are popular job titles related to Manager Semantic jobs in Missouri?

For Manager Semantic jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Manager Semantic jobs in Missouri look for?

The top searched job categories for Manager Semantic jobs in Missouri are:

What cities in Missouri are hiring for Manager Semantic jobs?

Cities in Missouri with the most Manager Semantic job openings:

Manager Semantic jobs near you
Infographic showing various Manager Semantic job openings in Missouri as of August 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.

Senior Product Manager - Semantic Platform

Jobtailor

California, MO • On-site

$140 - $190/hr

Other

Posted 10 days ago

Job description

  • Define and execute the product strategy and roadmap for Cotality’s Semantic Platform
  • Evaluate the current MVP against user needs and create a plan to improve usability, coverage, and adoption
  • Translate cross-functional use cases into scalable platform capabilities
  • Enable capture, cataloging, and evaluation of semantic context across domains
  • Establish and evolve a framework for evaluating semantic context quality
  • Partner with Architecture/Technology on semantic components and platform readiness
  • Create and manage intake and prioritization for platform enhancements
  • Drive alignment across Data Stewardship, Engineering, Product teams, and SMEs
  • Identify gaps in workflows, adoption, and scalability
  • Deliver platform features supporting YAML files, MCP tools, and agent-based assets
  • Collaborate with data stewards and SMEs to align the platform to real-world usage
  • Monitor adoption, feedback, and usage patterns to refine the roadmap
  • Contribute to enterprise-wide standardization through product decisions and platform design
  • Own outcomes including usability, adoption, and platform effectiveness

Requirements

  • 7–10+ years of product management experience focused on platform or data products
  • Bachelor of Science degree or equivalent work/industry experience required; Master’s preferred
  • Experience building or scaling internal platforms, developer tools, or data systems
  • Strong experience with engineering, architecture, and data teams
  • Understanding of AI/ML, cloud computing, big data, and semantic layers
  • Product strategy and roadmap execution in ambiguous environments
  • Strong communication and stakeholder management skills
  • Demonstrated leadership/supervisory experience
  • Analytical skills and understanding of statistical models in product solutions
  • Extensive user interface design experience
  • Experience with rapid prototyping techniques and tools
  • Advanced knowledge of Microsoft Office applications
  • Ability to perform market sizing, pricing, costing, and ROI analysis
  • Negotiation, data analysis, written and verbal communication, and presentation skills
  • Exposure to metadata management, ontology, or knowledge graphs preferred
  • Experience with AI/ML or data-driven product ecosystems preferred
  • Familiarity with data governance, data modeling, or enterprise data platforms preferred
  • Experience managing large-scale data-driven applications preferred
  • Experience with Agile, Waterfall, or Extreme project development methodologies preferred

Core Competencies

Demonstrates expertise in product strategy and roadmap execution for data platforms, with a strong focus on usability, adoption, and stakeholder alignment. Proficient in managing cross-functional teams and driving enhancements in semantic context quality and platform capabilities.

Highest-signal resume keywords

  • Product Management Experience
  • Platform Development
  • AI/ML Understanding
  • User Interface Design
  • Agile Methodologies

ATS Optimization Keywords

Hard Skills

  • Product Strategy
  • Roadmap Execution
  • Data Analysis
  • Statistical Models
  • Rapid Prototyping
  • Market Sizing
  • ROI Analysis
  • Semantic Layers
  • Data Governance
  • Metadata Management

Soft Skills

  • Strong Communication
  • Stakeholder Management
  • Leadership Experience
  • Negotiation Skills
  • Presentation Skills

Industry Keywords

  • Big Data
  • Cloud Computing
  • Ontology
  • Knowledge Graphs
  • Data Modeling

Tools & Technologies

  • Microsoft Office
  • MCP Tools
  • YAML Files
  • Data Systems
  • Enterprise Data Platforms
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