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Manager Semantic Jobs (NOW HIRING)

Lead semantic modeling for complex client projects from start to finish * Drive use case ... Familiarity with best practices in knowledge management * Proven experience analyzing, evaluating ...

Lead semantic modeling for complex client projects from start to finish * Drive use case ... Familiarity with best practices in knowledge management * Proven experience analyzing, evaluating ...

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Senior Semantic Data Architect

Houston, TX · On-site

$123K - $168K/yr

The role partners with subject matter experts, AI Program Managers, Platform Architecture, and governance bodies to translate business definitions into a unified semantic layer. It also ensures ...

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THE ROLE Principal Product Manager, Search We're looking for a Product Lead to join our growing ... Build roadmap for AI/semantic search evolution (vector-based retrieval, personalized ranking, LLM ...

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Manager Semantic information

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$28.5K

$62.7K

$113.5K

How much do manager semantic jobs pay per year?

As of Jul 4, 2026, the average yearly pay for manager semantic in the United States is $62,661.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $69,000.00 per year, depending on experience, location, and employer.

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.

More about Manager Semantic jobs
What cities are hiring for Manager Semantic jobs? Cities with the most Manager Semantic job openings:
What are the most commonly searched types of Semantic jobs? The most popular types of Semantic jobs are:
What states have the most Manager Semantic jobs? States with the most job openings for Manager Semantic jobs include:
Infographic showing various Manager Semantic job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $62,661 per year, or $30.1 per hour.
Product Manager, Semantic Layer

Product Manager, Semantic Layer

Anduril Industries

Costa Mesa, CA • On-site

Full-time

Posted 2 days ago


Anduril rating

9.4

Company rating: 9.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Anduril Industries is a defense technology company focused on enhancing military capabilities with advanced technology. The Product Manager, Semantic Layer & Ontology will own the product suite for defining and maintaining a semantic layer, collaborating across various data functions to establish a unified source of truth for the organization.
Responsibilities:
• Own product strategy, roadmap, and success metrics for the product suite that supports building and maintaining the semantic layer and ontology.
• Partner across data engineering, analytics engineering, data analytics, and master data management to define shared metrics, dimensions, entities, and relationships once, then reuse them everywhere.
• Turn conflicting definitions, data disputes, and modeling ambiguity into a governed source of truth that teams adopt.
• Act as a hands-on builder by submitting code PRs with AI coding agents such as Claude Code for the semantic layer application.
• Build and operate a feedback and triage loop for definition requests, data-quality issues, and adoption blockers.
• Define governance and contribution standards for the ontology, including ownership, versioning, and change management, so the model stays coherent as sources and teams grow.
• Balance a canonical master data model against the speed analytics and downstream teams need to ship.
• Communicate modeling decisions, trade-offs, and data-quality risks to data teams, business stakeholders, and senior leadership.
• Establish a model for AI-enabled product development where the PM contributes directly to the semantic layer without compromising lineage, reliability, or governance.
Qualifications:
Required:
• 5+ years of experience across product management and one or more data functions: data engineering, analytics engineering, data analytics, or master data management, in a fast-paced environment.
• Demonstrated experience owning a data product, or working in a data technical function and pivoting into product.
• Demonstrated builder orientation, including submitting code such as SQL, dbt, Python, or semantic-layer definitions, and shipping with AI coding agents.
• Strong technical fluency in semantic layers, dimensional modeling, data pipelines, and the trade-offs between a governed model and local team speed.
• Demonstrated ability to work across multiple data teams with competing definitions and align them on a shared model.
• Ability to operate with high autonomy while maintaining judgment, communication, and alignment across data engineering, business partners, and leadership.
• Excellent written and verbal communication skills, with the ability to influence senior engineers, data teams, and executive leadership.
• Degree in Computer Science, Information Systems, Engineering, Statistics, or related field, or equivalent practical experience.
• U.S. Person status is required as this position needs to access export controlled data.
Preferred:
• Hands-on experience with a semantic layer or metrics layer (dbt Semantic Layer, Cube, LookML, AtScale, Malloy, or similar) and modern warehouses such as Snowflake, BigQuery, or Databricks.
• Experience owning or contributing to a master data management program, including entity resolution, golden records, and stewardship.
• Familiarity with frontier AI tooling, AI coding assistants, and agentic development workflows applied to data and analytics.
• Experience building against a data catalog, lineage, or governance tooling in a large or fast-growing data estate.
• Familiarity with enterprise systems and business process domains such as ERP, CRM, finance, supply chain, or manufacturing.
• Experience in hyper growth startup-like environments, with demonstrated success balancing speed, ambiguity, autonomy, and long-term data health.
• Eligible to obtain and maintain a U.S. Secret security clearance.
Company:
Anduril Industries is a defense technology company that specializes in developing advanced autonomous systems to enhance national security. Founded in 2017, the company is headquartered in Costa Mesa, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

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