Guide engineering and data science teams during build and deployment. * Resolve technical blockers ... Azure AI services), ideally within financial services and/or insurance. * Strong understanding of ...
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... or Engineering, and demonstrates proven experience with BI tools and data visualization platforms. You'll need strong problem-solving skills, expertise in mutual fund and market-based insurance ...
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Data Analyst
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AI/ML DevOps Engineer
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You will work closely with data scientists, AI engineers and data engineers to move AI solutions ... insurance coverage, wellness programs, life and disability insurance, retirement savings plans ...
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Data Scientist (Manager)
Toronto, ON ยท On-site
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Stay current with emerging technologies and practices across data engineering, machine learning ... Azure AI services), ideally within financial services and/or insurance. * Strong understanding of ...
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Technology Solutions - Data Platform & Engineering Fall 2026 Co-op/Intern
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Technology Solutions - Data Platform & Engineering Fall 2026 Co-op/Intern
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Insurance Data Engineer information
How much do insurance engineers make?
What engineers make $500,000?
What are Insurance Data Engineers?
What are the key skills and qualifications needed to thrive as an Insurance Data Engineer, and why are they important?
What is the difference between Insurance Data Engineer vs Data Analyst in the insurance industry?
| Aspect | Insurance Data Engineer | Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's in Computer Science, Data Engineering certifications | Bachelor's in Statistics, Data Analysis certifications |
| Work Environment | Develops data pipelines, manages databases, works with big data tools | Interprets data, creates reports, visualizes insights |
| Employer & Industry Usage | Insurance companies, tech firms in insurance | Insurance firms, consulting agencies, analytics companies |
Insurance Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data to provide insights. Both roles are essential in the insurance industry but serve different functions in data management and analysis.
How does an Insurance Data Engineer typically collaborate with actuarial and underwriting teams?
Is AI replacing data engineers?
What engineers make 300,000 a year?
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 6 days ago
Job description
The Senior Data & AI Solution Architect is accountable for designing and governing end-to-end data and AI solutions that translate business requirements into secure, scalable, and production-ready architectures. This role operates as the hands-on architecture authority across the solution lifecycle, driving design decisions, defining solution blueprints, resolving trade-offs, and guiding engineering and data science teams through implementation. The architect ensures solutions are aligned with enterprise standards, regulatory expectations, and operational readiness, while enabling the delivery of modern data platforms, analytics, and AI/GenAI use cases.
Position Responsibilities:
Solution Architecture Ownership
- Design end-to-end data and AI solutions (data pipelines, analytics, ML/GenAI use cases).
- Produce HLDs/LLDs, define NFRs (scalability, performance, security, cost).
Architecture Decisioning
- Lead design decisions and trade-offs (e.g., batch vs streaming, cost vs performance).
- Review and approve solution designs aligned with enterprise standards.
Delivery & Implementation Support
- Guide engineering and data science teams during build and deployment.
- Resolve technical blockers and ensure production readiness.
Applied Data & AI Patterns
- Implement patterns for ingestion, lakehouse, ML pipelines, and GenAI (RAG, vector search).
- Enforce MLOps/LLMOps (versioning, evaluation, monitoring).
Azure Solution Design
- Architect solutions leveraging Azure (ADLS, Databricks, Synapse/Fabric, Azure ML/OpenAI).
- Define CI/CD and IaC-based deployment patterns.
Integration & Data Governance
- Design API, data contracts, and event-driven architectures.
- Ensure data quality, lineage, and interoperability.
Security & Responsible AI
- Embed security, privacy, and AI governance controls (model risk, guardrails).
Operational Readiness
- Define monitoring, observability, and cost optimization strategies.
Required Qualifications:
- 5+ years of experience in data/analytics architecture, with 3+ years designing AI/ML solutions in production (GenAI experience strongly preferred).
- Bachelor's degree in computer science, Engineering, Information Systems, Data/AI, or a related field. Master's degree preferred.
- Proven experience architecting on Azure across data and AI services (e.g., Data Lake/Databricks/Synapse/Fabric as applicable; Azure AI services), ideally within financial services and/or insurance.
- Strong understanding of data governance, data modeling, integration, metadata management, and privacy/security controls; able to extend these practices to AI/GenAI governance.
- Strong architecture leadership skills: drive decisions, manage trade-offs, and influence across teams while maintaining delivery focus.
- Excellent communication and stakeholder management skills, with the ability to translate complex data/AI concepts for technical and non-technical audiences.
- Experience with modern engineering practices (IaC, CI/CD), and with MLOps/LLMOps concepts such as model/prompt versioning, evaluation, monitoring, and deployment patterns.
- Relevant certifications in Azure (Architecture/Data/AI) are a plus.
Preferred Qualifications:
Hands-on experience implementing:
- RAG architectures
- Vector databases / semantic search
- Prompt orchestration frameworks
Experience with:
- Lakehouse architectures and data products
- Domain-driven/data mesh environments
Familiarity with:
- Model risk management
- Responsible AI frameworks in regulated industries
- Azure certifications (Solutions Architect, Data Engineer, AI Engineer).
When you join our team:
- We'll empower you to learn and grow the career you want.
- We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
- As part of our global team, we'll support you in shaping the future you want to see.
#LI-Hybrid
The role being advertised is an existing vacancy.
About Manulife and John Hancock
Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.
Manulife is an Equal Opportunity Employer
At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.
It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.
Referenced Salary Location
Toronto, OntarioWorking Arrangement
Salary range is expected to be between
$113,000.00 CAD - $163,000.00 CADEmployees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.
Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact hr@manulife.com for more information about U.S.-specific paid time off provisions.
We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.