Raleigh, NC · Remote
$100K - $174K/yr
You will also guide engineers and reinforce strong delivery practices, while advancing the team ... Build agent-ready data assets, including semantic layer components (ontology, taxonomy, domain ...
Raleigh, NC · Remote
$100K - $174K/yr
You will also guide engineers and reinforce strong delivery practices, while advancing the team ... Build agent-ready data assets, including semantic layer components (ontology, taxonomy, domain ...
Raleigh, NC · Remote
$100K - $174K/yr
You will also guide engineers and reinforce strong delivery practices, while advancing the team ... Build agent-ready data assets, including semantic layer components (ontology, taxonomy, domain ...
Raleigh, NC · Remote
$100K - $174K/yr
You will also guide engineers and reinforce strong delivery practices, while advancing the team ... Build agent-ready data assets, including semantic layer components (ontology, taxonomy, domain ...
$24.77 - $29.29
1% of jobs
$29.29 - $33.82
5% of jobs
$33.82 - $38.34
9% of jobs
$42.25 is the 25th percentile. Wages below this are outliers.
$38.34 - $42.87
12% of jobs
$42.87 - $47.39
10% of jobs
The median wage is $51.59 / hr.
$47.39 - $51.92
15% of jobs
$51.92 - $56.44
15% of jobs
$59.65 is the 75th percentile. Wages above this are outliers.
$56.44 - $60.97
13% of jobs
$60.97 - $65.49
10% of jobs
$65.49 - $70.02
10% of jobs
$70.02 - $74.54
2% of jobs
$24
$52
$74
| Aspect | Remote Ontology Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Master's in Computer Science, Knowledge Engineering, or related fields; certifications in ontology modeling | Degree in Data Science, Statistics, or related; certifications in data analysis or machine learning |
| Work Environment | Collaborates with AI, semantic web, and knowledge management teams; often in tech or research industries | Works with data analysis, modeling, and visualization teams; across various industries including tech, finance, and healthcare |
| Employer & Industry Usage | Used in AI, semantic web, and knowledge-based systems | Applied in analytics, predictive modeling, and business intelligence |
While both roles require technical expertise and involve working with complex data, Remote Ontology Engineers focus on developing and managing ontologies for knowledge representation, whereas Data Scientists analyze data to extract insights. The roles often overlap in tech environments but serve different core functions.
$100K - $174K/yr
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 29 days ago
With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility.
Job SummaryStrategic Analytics at Arch is a growing team at the forefront of the company's AI transformation. We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets and AI-assisted development practices. These capabilities are becoming increasingly embedded across the enterprise.
Data is central to our mission. We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both traditional analytics and emerging AI use cases.
As Manager of Strategic Analytics Services, supporting the Claims Analytics group, you will lead end-to-end delivery of complex data pipelines that put analytics at the center of business processes. This is a hands-on role that combines execution, technical leadership, and stakeholder partnership, including leading and developing a team of data engineers.
You will work closely with business and technical leaders to align priorities, shape scalable data solutions, and deliver measurable outcomes. You will also guide engineers and reinforce strong delivery practices, while advancing the team's capabilities in modern data engineering, AI-assisted development, and well-governed, reusable data systems.
Responsibilities
Lead delivery of high-quality data solutions by partnering with stakeholders and coachingdataengineers.
Own end-to-end data engineering delivery across the project lifecycle.
Build strong partnerships across the organization to align priorities anddeliverdata-related goals.
Design clear, analytics-ready data structures byanticipatingdownstream analytical needs.
Evaluate and adoptnew technologiesand data sources to improve capability and efficiency.
Automate data ingestion and integration to reliably connect internal and external data sources.
Document data sources, definitions, and technical solutions to support transparency and reuse.
Reinforce strong delivery hygiene (version control, code review, automated testing, CI/CD, and operational readiness/monitoring).
Apply agentic, AI-assisted coding practices to accelerate delivery whilemaintainingappropriate controls.
Build agent-ready data assets, including semantic layer components (ontology, taxonomy, domain models) and governed access.
Provide retrieval-ready context (RAG pipelines, vector stores, knowledge bases) when needed.
Desired Skills
Data Engineering
Strong programmingexpertisein Python and SQL, including data engineering frameworks, large-scale data manipulation, and governed AI-assisted development practices
Apache Sparkproficiency(PySparkpreferred) and experience with distributed data processing, including building scalable pipelines andoptimizingperformance for large-scale datasets
Cloud data platformproficiency(Snowflake, Databricks, Azure ecosystem fundamentals)
Data warehousing and modeling fundamentals (schema design, conformed definitions, performance optimization)
Data quality and observability practices (testing, reconciliation, monitoring)
Analytics & AI Readiness
Insurance data modelingforanalytics and actuarial-ready data structures
MLOpsfamiliarity supporting operationalized analytics and models
Semantic modeling skills (business definitions, metrics, ontology/taxonomy/domain models)
Business definition standardization for reuse across BI and AI use cases
Leadership &Operating Model
Self-directed execution and ownership in a distributed environment, combined with strong cross-functional collaboration, stakeholder partnership, and team building
Strong problem-solving and critical thinking skills, including the ability to decompose complex challenges
Clear communication across technical and business audiences, with the ability to adapt effectively in ambiguous and evolving environments
Required Skills
6+years' experienceofhands-on development in Python and distributed processing environments (e.g., Spark)
2-3+ years of technical leadership or project delivery ownership experience
Hands-on Databricks experience highly preferred
Education
College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent.
For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.
$100,500 - $174,000/year
Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.
Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.
Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you.If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.
10200 Arch Capital Services LLC