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Manager Semantic Jobs in California (NOW HIRING)

NextDeavor Inc.

Data Product Manager

San Jose, CA · Hybrid

$54.65 - $68.31/hr

Data Product Manager Full-time San Jose, CA You'll be joining Adobe on a contract opportunity ... Define and own long-term vision and roadmap for analytics datasets, semantic/metric layers, and ...

Figma

Technical Program Manager - Data

San Francisco, CA · On-site

$152K - $196K/yr

Own end-to-end program delivery for Figma's Self-Serve Analytics initiative that includes semantic ... Drive adoption and change management - build champion networks, run training programs, and meet ...

DocuSign

Lead AI Architect

San Francisco, CA · Hybrid

... semantic data foundations * Contribute to enterprise AI architecture patterns, reusable templates, and governance standards * Integrate enterprise platforms including CRM, SaaS, APIs, operational ...

Docusign

Lead AI Architect

San Francisco, CA · On-site

... semantic data foundations * Contribute to enterprise AI architecture patterns, reusable templates, and governance standards * Integrate enterprise platforms including CRM, SaaS, APIs, operational ...

Accenture

Knowledge Modeler / Ontologist Manager

San Diego, CA · On-site

$58.25 - $75.50/hr

Apply ontology governance standards: version control, change management, and quality gates (W3C ... Semantic Web Standards: Working knowledge of W3C standards and best practices for linked data and ...

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All JobsSemantic JobsManager Semantic JobsManager Semantic Jobs in California

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 the most commonly searched types of Semantic jobs in California?

The most popular types of Semantic jobs in California are:

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

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

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

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

Manager Semantic jobs near you

Data Product Manager

NextDeavor Inc.

San Jose, CA • Hybrid

$54.65 - $68.31/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 10 days ago

Job description

Data Product Manager
Full-time
San Jose, CA

You’ll be joining Adobe on a contract opportunity, employed through NextDeavor

 
Benefits You'll Love

NextDeavor offers health, vision and dental benefits for contract employees Paid sick leave eligibility is contingent on state of residence Optional 401k Plan (excludes employer match) Opportunity to get your foot in the door at a well-established corporation, with potential for extended or permanent full-time employment

Become a Key Player as a Data Product Manager

You will own the vision and roadmap for analytics datasets, governed metrics, and dashboards to enable reliable insights for business stakeholders. You will work cross-functionally with data engineering, data science, and analytics teams to deliver reusable, analysis-ready data products in a Hybrid (3 days onsite) model. Your work will reduce metric disputes, increase self-serve analytics, and improve decision-making across the organization.

Here's How You'll Make an Impact on the Team
  • Define and own long-term vision and roadmap for analytics datasets, semantic/metric layers, and dashboards
  • Translate business questions into durable data products (canonical datasets, semantic layers, standardized dashboards)
  • Establish and manage a prioritized intake process for analytics requests, balancing quick wins with foundational investments
  • Create and maintain KPI frameworks and single-source-of-truth metric definitions
  • Own dashboard strategy: what to build, retire, and how to improve usability and adoption
  • Partner with Data Engineering to shape data models, pipelines, and data contracts
  • Partner with Data Science and Analytics to ensure datasets are analysis-ready and reusable
  • Act as the primary cross-functional point of accountability from concept through launch and iteration
  • Write clear requirements for datasets and dashboards (metric definitions, grain, dimensions, filters, refresh expectations)
  • Maintain documentation and usage guidelines in a team wiki
  • Implement and run operating cadence: Jira epics/stories, sprint planning, prioritization, and release communication
  • Drive quarterly planning, resourcing conversations, milestone tracking, and stakeholder reviews
  • Define and track success metrics for data products (adoption, data quality, freshness, reliability, stakeholder satisfaction)
  • Establish monitoring and incident triage processes and enable self-serve analytics through discoverability, documentation, and training
Here's What You'll Need to Be Successful in This Role
  • 5+ years of relevant experience
  • Bachelor's degree in a quantitative or technical field (or equivalent practical experience)
  • Working proficiency in SQL and strong fluency in data warehousing concepts, dimensional modeling, and event-based data
  • Experience with BI/dashboarding ecosystems (Looker, Tableau, Power BI or similar)
  • Familiarity with semantic/metric layers and governed, reusable metric definitions
  • Strong product management skills applied to data and analytics products (roadmap ownership, prioritization)
  • Proven ability to translate ambiguous business needs into clear dataset and dashboard requirements
  • Strong stakeholder management and communication skills
  • Hands-on experience running Jira workflows and building intake/planning/release operating mechanisms
  • Ability to create clear documentation and manage knowledge in a wiki environment
Here's What Else Might Help You Out
  • Master's degree in analytics, data science, MBA, or similar
Pay Range

$54.65 - $68.31/hour

Ready to Make Your Mark?

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