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MetLife
3.7
Business Systems Analyst - Semantic Layer
Cary, NC
$120K - $162K (Employer provided)
Collaborate with data architects and engineers to implement semantic layer components in platforms such as Stardog/ Dremio/ AtScale Semantic Layer or equivalent……
12d
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Rogers Machinery Company
4.2
Systems Analyst - Corporate
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$90K - $110K (Employer provided)
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2d
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Belcan Staffing Solutions
3.4
Field Service Representative Analyst (Shaw AFB)
Sumter, SC
$110K - $120K (Employer provided)
Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools.…
30d+
SonSoft
4.3
IBM IIB Consultant
Hartford, CT
$48K - $71K (Glassdoor est.)
Easy Apply
Support QA and production implementation of releases. Execute implementation plan for production rollout. Communication with stakeholders regarding project……
30d+
Netbuilder
4.1
Senior Dynatrace Consultant
New York, NY
$170K (Employer provided)
Easy Apply
Support pre-sales with technical scoping, solution design, and client-facing presentations. Monitor critical application performance and availability, and lead……
30d
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Field Service Representative Analyst (Lejune)
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$110K - $120K (Employer provided)
Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools.…
30d+
SonSoft
4.3
IBM IIB Consultant
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$48K - $71K (Glassdoor est.)
Easy Apply
Support QA and production implementation of releases. Execute implementation plan for production rollout. Communication with stakeholders regarding project……
30d+
Bell Bank
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Digital Solutions Analyst
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Use independent judgment and discretion in analysis process for undocumented situations. Conduct activities consistent with established Bell Bank policies,……
30d+
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Irregular Warfare Analyst – Counter Threat Networks & Uncrewed Systems Targeting (CENTCOM AOR)
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30d+
SonSoft
4.3
Mulesoft
Pennington, NJ
$88K - $142K (Glassdoor est.)
Easy Apply
∙ Understanding of differences between SOA and API design. ∙ Broad knowledge of web standards relating to APIs (OAuth, SSL, CORS, JWT, etc.).…
30d+
Alaska Native
Computer Systems Analyst
Kodiak, AK
$60K - $62K (Employer provided)
Easy Apply
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13d
CGI
3.7
Senior Computer Systems Analyst
Colorado Springs, CO
$101K - $198K (Employer provided)
. PhD from an accredited college or university in Mathematics, Business, Computer Science, Information Systems, or related field. What you can expect from us:…
7d
SonSoft
4.3
Enterprise Application Integration
San Francisco, CA
Easy Apply
SOA vs API implementation differences; guide clients for appropriate adoption and development team for appropriate implementation.…
30d+
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Senior Business Analyst/Functional Lead
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$80K - $172K (Employer provided)
Bachelor's degree in a business-related field or information systems management preferred. CSM certification desired but not required.…
3d
Calance
3.6
Systems Business Analyst in Counterparty Credit Risk & Exposure Management
New York, NY
$60.00 - $75.00 Per Hour (Employer provided)
Risk Methodologies: Deep functional grasp of Counterparty Credit Risk concepts, including derivative trade lifecycles, market data, PFE, EPE, collateral/margin……
30d+
SonSoft
4.3
Mulesoft Anypoint API Platform
Pennington, NJ
$78K - $117K (Glassdoor est.)
Easy Apply
Able to interpret requirements to develop Mule services/integrations in CI/CD and Agile process. Design and develop REST based APIs leveraging Java platform.…
30d+
CGI
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Senior Computer Systems Analyst
Aberdeen, MD
$101K - $198K (Employer provided)
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7d
SonSoft
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Mulesoft Anypoint API Platform
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Mariner Finance
3.7
Salesforce Architect
Nottingham, MD
$151K - $196K (Employer provided)
Easy Apply
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30d+
Johnson Controls
3.7
Sr Developer - Enterprise Integration
Milwaukee, WI
$89K - $105K (Employer provided)
Easy Apply
Provide hands-on technical leadership, guiding developers on design, coding, and best practices. You will have the opportunity to develop yourself through……
10d
Procom
3.5
Sr IT Project Manager - Post Merger IT Integration
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19d
PPL
3.1
Senior Salesforce Developer
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$89K - $127K (Glassdoor est.)
Work closely with product, functional and technical analysts, and architects to deliver Salesforce solutions. Experience with data migration and exporting using……
30d+
Deloitte
3.8
Dev Ops Engineer - Project Delivery Specialist Analyst
United States
$98K - $163K (Employer provided)
Contribute to full lifecycle of new feature development, including analysis, design, construction, testing and rollout. 6+ years of relevant experience in IT.…
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Amazon
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Sr. SysDev Eng, OTS - Data ANCHOR Team
Austin, TX
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As our portfolio expands, we need a senior engineer who can own complex technical problems end-to-end and partner across data science, data engineering, and……
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Amazon Web Services
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UAT Automation Analyst, Amazon Web Services
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As part of GSC SysOps, you will own the design, development, and execution of automated User Acceptance Testing across all sales compensation workflows within……
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RF System Analyst, Amazon Leo
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Dexcom
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Oracle Supply Chain/Logistics Systems Analyst
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Aramark
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Infrastructure Technical Analyst - Network Engineer
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? Bachelor?s degree in Information Technology, Computer Science, or related field preferred. The Network Engineer will provide both remote support and hands-on……
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Booz Allen Hamilton
3.9
Systems Integration Specialist
San Diego, CA
$87K - $198K (Employer provided)
Best Places to Work
As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is……
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Booz Allen Hamilton
3.9
Enterprise Integration Architect, Lead
McLean, VA
$99K - $225K (Employer provided)
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MetLife

3.7

Business Systems Analyst - Semantic Layer

Cary, NC

$120K - $162K (Employer provided)

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Use AI to find out how well the skills on your resume fit this job description.

General Information

Location

Cary, North Carolina

Alternative Location(s)

Posting Location: New York, New York

Posting Location: Tampa, Florida

Posting Location: Bridgewater, New Jersey

Working Schedule

Full-Time

Work Arrangement

Hybrid

Travel Required

10%

Relocation Assistance Available

Posted Date

07-Jul-2026

Job ID

18694

Description and Requirements

The Team You Will Join

At MetLife, data isn’t just a tool - it is a catalyst for growth. As part of our Data & Analytics organization, you’ll unlock trusted insights that drive bold decisions, power personalized customer experiences, and deliver lasting business impact. Your skills in AI, predictive modeling, and advanced analytics will help solve complex challenges, scale solutions globally, and fuel innovation across every region. We’re building the future of data - one that’s governed responsibly, engineered for scalability, and designed for growth. When you join us, you’re not just supporting the business - you’re empowering it. Let’s transform insight into impact and data into action, together.

The Opportunity

As a Business Systems Analyst for the Semantic Layer program, you will serve as the critical bridge between MetLife’s insurance business domains and the technical teams building the enterprise semantic layer. You will translate complex insurance concepts into formally structured ontologies and business metadata, enabling consistent, governed, and reusable data definitions across the organization. This is a high-impact, hands-on role for a practitioner who combines deep insurance industry knowledge with expertise in ontology design, business metadata management, and semantic technologies. You will help define how MetLife speaks data & creatine the common language that connects business users, data engineers, AI models, and analytics consumers.

Key Responsibilities

Semantic Layer Design & Implementation

Lead requirements gathering and functional design for MetLife enterprise semantic layer, translating business concepts into structured semantic models.
Define and maintain the business glossary, logical data models, and semantic mappings that align insurance terminology across business units and systems.
Collaborate with data architects and engineers to implement semantic layer components in platforms such as Stardog/ Dremio/ AtScale Semantic Layer or equivalent tools.
Design metric definitions, KPI hierarchies, and dimensional models that reflect insurance business logic (e.g., earned premium, incurred loss, persistency, claim frequency).

Ontology & Business Metadata Implementation

Design and implement insurance-domain ontologies using standards such as OWL, RDF, SKOS, or industry frameworks (e.g., ACORD, OMG Insurance Domain Analysis Model).
Develop and maintain the enterprise business metadata catalog — defining data assets, ownership, lineage, classifications, and business definitions within tools such as Collibra, Alation, or Apache Atlas.
Establish and enforce metadata governance standards: term definitions, synonym management, hierarchical classifications, and cross-domain concept alignment.
Map physical data assets (tables, columns, APIs) to business concepts and ontological entities, enabling semantic search and automated data discovery.
Partner with Data Governance and stewardship teams to ensure ontology and metadata artifacts meet regulatory, compliance, and audit requirements.

Insurance Domain Analysis

Apply deep understanding of insurance product lines — Group Benefits, Life, Disability, Dental, Vision, and Voluntary — to accurately model business entities, events, and relationships.
Translate insurance operational concepts (policy lifecycle, claims adjudication, underwriting, billing, reinsurance, regulatory reporting) into precise semantic definitions.
Identify cross-LOB data harmonization opportunities by standardizing entities such as Employer, Policies, Claims and Broker, and Pricing across disparate source systems.
Support regulatory and statutory reporting requirements by ensuring semantic models align with NAIC, GAAP, and IFRS 17 data constructs.

Stakeholder Collaboration & Delivery

Work directly with business owners, data stewards, analytics engineers, and AI/ML teams to gather requirements and validate semantic model designs.
Collaborate with engineering and architecture teams to support delivery across:
Relational and non-relational databases (e.g., SQL, NoSQL).
Multi-database environments and cross-platform data integration.
Facilitate workshops and working sessions to establish shared vocabulary and resolve definitional conflicts across business units.
Produce clear, well-structured functional specifications, data flow diagrams, semantic model documentation, and data dictionaries.
Lead and mentor junior analysts; promote best practices in semantic modeling and metadata management across the D&A organization.
Operate in an Agile delivery model: manage backlog items, write user stories, and participate in sprint ceremonies with cross-functional teams.

Data Quality & Governance

Define data quality rules and validation logic at the semantic layer to ensure consistency and trustworthiness of business metrics.
Capture data lineage end-to-end — from source systems through transformation pipelines to semantic layer consumption — within the enterprise metadata platform.
Monitor and govern semantic layer usage, identifying gaps, conflicts, or misalignments as new data sources and use cases emerge.

Required Qualifications

Bachelor’s degree in computer science, Information Systems, Data Management, or a related discipline.
8+ years of overall experience, including 5+ years in data management, business analysis, or data governance roles.
Demonstrated experience in semantic layer design or implementation (e.g., dbt Semantic Layer, Stardog, AtScale, Cube, LookML, or similar).
Proficiency in business metadata management platforms (Collibra, Alation, Informatica, Apache Atlas, or equivalent).
Experience writing detailed functional requirements, data dictionaries, and semantic model specifications.
Strong understanding of:
- Database technologies (SQL, NoSQL, distributed systems).
- Multi-database and hybrid data environments.
Exposure to:
- Data virtualization technologies.
- Ontology / semantic modeling concepts.
- Familiarity with modern cloud-based data platforms (Databricks, Azure Synapse, etc.).

Preferred Qualifications

Experience with ACORD data standards, OMG Insurance Domain Analysis Model (IDAM), or similar insurance data frameworks.
Familiarity with knowledge graph technologies (Neo4j, Amazon Neptune, GraphDB) and SPARQL query language.
Experience with all of the following cloud data platforms: Azure Synapse, Azure Databricks, Snowflake, or Databricks Unity Catalog.
Exposure to AI/ML pipelines and understanding of how semantic layers enable LLM-based analytics or RAG architecture.
Understanding of IFRS 17, NAIC reporting, or other insurance regulatory data requirements.
Strong knowledge of the insurance industry — product lines, operational processes, and data structures.
Hands-on experience designing or implementing ontologies using OWL, RDF, SKOS, or equivalent forms.
Proficiency in data modeling tools (ERWIN, ER/Studio, dbt, or similar).
DevOps familiarity: Git, Azure DevOps, CI/CD for data pipeline and semantic layer versioning.
Experience with FHIM, FIBO (Financial Industry Business Ontology), or similar financial/insurance ontology standards.

Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office.

The expected salary range for this position is $120,000 - $161,600. This role may also be eligible for annual short-term incentive compensation and stock-based long-term incentives. All incentives and benefits are subject to the applicable plan terms.

Benefits We Offer

Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by MetLife and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, paid time off, paid holidays, volunteer time off, tuition assistance and much more!

About MetLife

Recognized on Fortune magazine's list of the "World's Most Admired Companies", Fortune World’s 25 Best Workplaces™, as well as the Fortune 100 Best Companies to Work For®, MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.

Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible. Join us!

MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law (“protected characteristics”).

If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.

MetLife maintains a drug-free workplace.

See company reviews

Base pay range

The minimum salary is $120K and the max salary is $162K.

$120K – $162K/yr (Employer provided)

$141K

/yr Median

Cary, NC

If an employer includes a salary or salary range on their job, we display it as "Employer Provided". If a job has no salary data, Glassdoor displays a "Glassdoor Estimate" if available. To learn more about "Glassdoor Estimates," see our FAQ page.

Working here doesn’t have to be a secret

3.7

Recommend to a friend
Approve of CEO
CEO: Michel Khalaf
1,872 Ratings

MetLife

3.7

Business Systems Analyst - Semantic Layer

Cary, NC

$120K - $162K (Employer provided)

MetLife

3.7

Business Systems Analyst - Semantic Layer

Cary, NC

$120K - $162K (Employer provided)

Is your resume a good match?

Use AI to find out how well the skills on your resume fit this job description.

General Information

Location

Cary, North Carolina

Alternative Location(s)

Posting Location: New York, New York

Posting Location: Tampa, Florida

Posting Location: Bridgewater, New Jersey

Working Schedule

Full-Time

Work Arrangement

Hybrid

Travel Required

10%

Relocation Assistance Available

Posted Date

07-Jul-2026

Job ID

18694

Description and Requirements

The Team You Will Join

The Opportunity

Key Responsibilities

Semantic Layer Design & Implementation

Lead requirements gathering and functional design for MetLife enterprise semantic layer, translating business concepts into structured semantic models.
Define and maintain the business glossary, logical data models, and semantic mappings that align insurance terminology across business units and systems.
Collaborate with data architects and engineers to implement semantic layer components in platforms such as Stardog/ Dremio/ AtScale Semantic Layer or equivalent tools.
Design metric definitions, KPI hierarchies, and dimensional models that reflect insurance business logic (e.g., earned premium, incurred loss, persistency, claim frequency).

Ontology & Business Metadata Implementation

Design and implement insurance-domain ontologies using standards such as OWL, RDF, SKOS, or industry frameworks (e.g., ACORD, OMG Insurance Domain Analysis Model).
Develop and maintain the enterprise business metadata catalog — defining data assets, ownership, lineage, classifications, and business definitions within tools such as Collibra, Alation, or Apache Atlas.
Establish and enforce metadata governance standards: term definitions, synonym management, hierarchical classifications, and cross-domain concept alignment.
Map physical data assets (tables, columns, APIs) to business concepts and ontological entities, enabling semantic search and automated data discovery.
Partner with Data Governance and stewardship teams to ensure ontology and metadata artifacts meet regulatory, compliance, and audit requirements.

Insurance Domain Analysis

Apply deep understanding of insurance product lines — Group Benefits, Life, Disability, Dental, Vision, and Voluntary — to accurately model business entities, events, and relationships.
Translate insurance operational concepts (policy lifecycle, claims adjudication, underwriting, billing, reinsurance, regulatory reporting) into precise semantic definitions.
Identify cross-LOB data harmonization opportunities by standardizing entities such as Employer, Policies, Claims and Broker, and Pricing across disparate source systems.
Support regulatory and statutory reporting requirements by ensuring semantic models align with NAIC, GAAP, and IFRS 17 data constructs.

Stakeholder Collaboration & Delivery

Work directly with business owners, data stewards, analytics engineers, and AI/ML teams to gather requirements and validate semantic model designs.
Collaborate with engineering and architecture teams to support delivery across:
Relational and non-relational databases (e.g., SQL, NoSQL).
Multi-database environments and cross-platform data integration.
Facilitate workshops and working sessions to establish shared vocabulary and resolve definitional conflicts across business units.
Produce clear, well-structured functional specifications, data flow diagrams, semantic model documentation, and data dictionaries.
Lead and mentor junior analysts; promote best practices in semantic modeling and metadata management across the D&A organization.
Operate in an Agile delivery model: manage backlog items, write user stories, and participate in sprint ceremonies with cross-functional teams.

Data Quality & Governance

Define data quality rules and validation logic at the semantic layer to ensure consistency and trustworthiness of business metrics.
Capture data lineage end-to-end — from source systems through transformation pipelines to semantic layer consumption — within the enterprise metadata platform.
Monitor and govern semantic layer usage, identifying gaps, conflicts, or misalignments as new data sources and use cases emerge.

Required Qualifications

Bachelor’s degree in computer science, Information Systems, Data Management, or a related discipline.
8+ years of overall experience, including 5+ years in data management, business analysis, or data governance roles.
Demonstrated experience in semantic layer design or implementation (e.g., dbt Semantic Layer, Stardog, AtScale, Cube, LookML, or similar).
Proficiency in business metadata management platforms (Collibra, Alation, Informatica, Apache Atlas, or equivalent).
Experience writing detailed functional requirements, data dictionaries, and semantic model specifications.
Strong understanding of:
- Database technologies (SQL, NoSQL, distributed systems).
- Multi-database and hybrid data environments.
Exposure to:
- Data virtualization technologies.
- Ontology / semantic modeling concepts.
- Familiarity with modern cloud-based data platforms (Databricks, Azure Synapse, etc.).

Preferred Qualifications

Experience with ACORD data standards, OMG Insurance Domain Analysis Model (IDAM), or similar insurance data frameworks.
Familiarity with knowledge graph technologies (Neo4j, Amazon Neptune, GraphDB) and SPARQL query language.
Experience with all of the following cloud data platforms: Azure Synapse, Azure Databricks, Snowflake, or Databricks Unity Catalog.
Exposure to AI/ML pipelines and understanding of how semantic layers enable LLM-based analytics or RAG architecture.
Understanding of IFRS 17, NAIC reporting, or other insurance regulatory data requirements.
Strong knowledge of the insurance industry — product lines, operational processes, and data structures.
Hands-on experience designing or implementing ontologies using OWL, RDF, SKOS, or equivalent forms.
Proficiency in data modeling tools (ERWIN, ER/Studio, dbt, or similar).
DevOps familiarity: Git, Azure DevOps, CI/CD for data pipeline and semantic layer versioning.
Experience with FHIM, FIBO (Financial Industry Business Ontology), or similar financial/insurance ontology standards.

Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office.

Benefits We Offer

About MetLife

See company reviews

Base pay range

The minimum salary is $120K and the max salary is $162K.

$120K – $162K/yr (Employer provided)

$141K

/yr Median

Cary, NC

Working here doesn’t have to be a secret

3.7

Recommend to a friend
Approve of CEO
CEO: Michel Khalaf
1,872 Ratings

Are you open to new opportunities?

411 Distributed systems analyst jobs in United States

General Information

Description and Requirements

Base pay range

Working here doesn’t have to be a secret

General Information

Description and Requirements

Base pay range

Working here doesn’t have to be a secret