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Added 3 hours ago
V
Senior Software Engineer (Rust)
Varonis
Vancouver, BC
- Full-time
Senior Software Engineer – Secure AI Platform (Vancouver, On-Site)
Added 4 hours ago
AI
Java Fullstack Developer – AWS & Capital Markets
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
SENIOR SOFTWARE ENGINEER – JAVA, SPRING BOOT, REACT, AWS & CAPITAL MARKETS
Added 6 hours ago
IF
Senior Security Advisor (DevSecOps) - Detection Engineering
Intact FC
Montreal, QC · Laval, QC · Saint-Hyacinthe, QC
- Full-time
Intact Insurance is seeking an experienced Senior Security Advisor to strengthen its Detection Engineering in cyber defence team. This role focuses on cloud and infrastructure security,…
Added 7 hours ago
KI
Cloud Engineer 2, Site Reliability Engineering
Kinaxis Inc.
Ottawa, ON
- Full-time
Learn from and collaborate with senior engineers, contributing to team knowledge sharing and continuous improvement of practices.
Added 8 hours ago
SM
RQ11713 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – ETL with extensive experience in Microsoft Azure data technologies, Amazon Web Services (AWS), ETL development, data integration, data…
Added 8 hours ago
SM
RQ11622 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking an experienced Senior Systems Testing/QA Specialist with strong expertise in enterprise-level software testing, manual and automated testing, test strategy development, test…
Added 14 hours ago
ES
Data Technology Consultant - Data & AI Modernization
EPAM Systems
Canada
- Full-time
…and bring strategic advisory plus deep technical know-how to senior client stakeholders across worldwide…
Added 14 hours ago
MC
Senior Cybersecurity Test Engineer (35651)
Myticas Consulting
Ottawa, ON
- Contract
We are seeking a Senior Cybersecurity Test Engineer to lead and execute security testing activities across applications, infrastructure, cloud environments, APIs, and system integrations.…
Added 14 hours ago
MC
Principal Banking Cloud Architect | Client Partner | Technology Consulting (35568)
Myticas Consulting
Toronto, ON
- Full-time
…relationship skills. You will serve as a trusted advisor to senior banking executives, helping shape technology strategy while expanding long-term client…
Added 14 hours ago
MC
Solutions Architect – AWS Node.js Digital Banking (35654)
Myticas Consulting
Toronto, ON
- Contract
AWS Certified Solutions Architect or AWS Certified Developer certification.
Added 14 hours ago
MC
Manager – Banking Cloud & Platform Engineering (35857)
Myticas Consulting
Toronto, ON
- Full-time
…the executive presence and commercial awareness to work with senior banking…
Added 14 hours ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
Reporting to a senior technology leader and working closely with a Data Architect, you will design and maintain dashboards, reports, data models and analytical solutions using Microsoft…
Added 18 hours ago
ES
Senior Full-Stack Java Developer
EPAM Systems
Canada
- Full-time
Join EPAM's engineering team as a Senior Full-Stack Java Developer and take ownership of maintaining and modernizing a portfolio of enterprise-grade Gateway applications. You'll work in a…
Added 20 hours ago
SM
RQ11622 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking an experienced Senior Systems Testing/QA Specialist with strong expertise in enterprise-level software testing, manual and automated testing, test strategy development, test…
Added 21 hours ago
PI
Senior Technical Team Lead - Software Development, R&D
Piicomm Inc.
Plantagenet Station, ON
- Full-time
PiiComm is looking for a senior, hands-on Technical Team Lead to manage our R&D team and deliver on business priorities. You’ll work closely with internal stakeholders, coach developers and…
Added 1 day ago
BC
Technical Delivery Lead
BrainRidge Consulting
Toronto, ON
- Full-time
…implementation, and who earns the trust of both engineers and senior client…
Added 1 day ago
R
Senior Security Specialist - Cloud (Global Security)
RBC
Toronto, ON
- Full-time
Certifications in information security, AWS, Azure or GCP.
Added 1 day ago
R
Director Data Center Engineering
RBC
Toronto, ON
- Full-time
The role is for Global Data Center engineering lead managing a high performing team of senior engineers responsible for all the networking technology running in the RBC’s global data…
Added 1 day ago
P
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
As a Senior Associate – Cyber Security Forward Deployed you are a multi-faceted technologist. You lean heavily into using AI, are comfortable working in a client’s environment, writing…
Added 1 day ago
W
Sr. Software Development Engineer / Principal, Software Development Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
…workloads, serving as the gateway to vendor-hosted LLMs on GCP and AWS Bedrock and operating the model deployment platform where Workday hosts and scales its…
Added 1 day ago
NB
Salesforce Application Architect
National Bank of Canada
Montreal, QC
- Full-time
In the commercial CRM sector, you are part of a team of 12 colleagues reporting to the Senior Manager – commercial CRM it Delivery. Our team stands out for the quality of its deliverables,…
Added 1 day ago
Software Development Manager, Rendering Foundations
Amazon
Vancouver, BC
- Experience building developer platforms, SDKs, languages, compilers, or infrastructure-as-code tooling such as AWS CDK
Added 1 day ago
ES
Senior Java Engineer
EPAM Systems
Toronto, ON
- Full-time
Hands-on experience with AWS or comparable cloud platforms, alongside familiarity with event-driven architectures and technologies such as Kafka
Added 1 day ago
Senior Cyber Security Specialist
Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Calgary, AB · Burnaby, BC · Stellarton, NS · Mississauga, ON
…join our team! We currently have a full time opportunity for a Senior Cyber Security Specialist. This role can be based out of one our main offices including: Stellarton, NS; Mississauga,…
Added 1 day ago
A
Devops Engineer
Actalent
Saskatoon, SK
- $55 to $65 CAD / hour
- Contract
…Ottawa and Calgary. As a DevOps Engineer, you will provide senior AWS expertise, facilitating the transition from on-premises infrastructure to AWS. This role offers an opportunity to work…

Aviva Canada

Lead Data Designer

Markham, ON, Canada

The salary band for this position ranges from $140,000 to $175,000. · Full-time

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Job details

Pay: The salary band for this position ranges from $140,000 to $175,000.
Job type: Full-time
Apply by: Nov 8, 2026
Experience: Experience and education: 10+ years of enterprise data modeling and design experience in large, complex organizations, including leadership of large-scale or cross-domain models.
Posting language: English
Posted: Oct 9, 2026

Original job description

Individually we are people, but together we are Aviva. Individually these are just words, but together they are our Values – Care, Commitment, Community, and Confidence.

At Aviva Canada, we put people first, our employees, our customers, and our communities. We’re proud of a culture built on care, inclusion, and collaboration, where your voice matters and your growth is supported. We’re not just about insurance; we’re about making a real difference by protecting what matters most.

At Aviva, data is at the heart of every customer experience, business decision, and innovation journey. As a Lead Data Designer, you'll play a critical role in shaping our enterprise data landscape by defining the standards, models, and frameworks that enable trusted, secure, and reusable data across analytics, AI, and digital solutions. Working closely with business and technology partners, you'll lead end-to-end data design initiatives, apply Property & Casualty insurance expertise and industry standards such as ACORD, and help deliver scalable data solutions that support digital transformation, platform modernization, and future growth. You'll also influence how Canadian data domains align with Aviva's global data strategy while ensuring local business needs remain at the forefront.

What You'll Do

The Lead Data Designer establishes clear, consistent, and implementation-ready data designs across the enterprise. Key responsibilities include:

Enterprise domain authority: Own and govern data models for assigned domains, aligning them with business capabilities, target architecture, roadmaps, and Aviva Canada’s P&C ecosystem. Resolve semantic conflicts and manage shared identifiers, classifications, reference data, hierarchies, and golden records where applicable.
Business semantics and federated ownership: Partner with business experts, product managers, and data owners to define and drive adoption of key business concepts, critical data elements, domain boundaries, systems of record, and producer/consumer responsibilities. Ensure data models, glossaries, and contracts enable effective business, engineering, governance, and AI outcomes.
Solution and integration modeling: Lead data design across operational stores, warehouses, data lakes/lakehouses, data products, and relational or NoSQL platforms. Apply fit-for-purpose modeling approaches and use approved logical models to support integrations, APIs, events, analytics, data science, and emerging AI consumption patterns.
Standards, contracts, and semantic governance: Govern data modeling standards, naming conventions, and design patterns. Define and maintain data contracts covering ownership, schemas, quality, service levels, versioning, and compliance, with automated validation where appropriate. Ensure metadata, lineage, business glossaries, transformation rules, and governance controls support consistent data use across business, technology, and AI solutions.
Migration and physical optimization: Define canonical structures, mappings, history, survivorship, validation, cutover, and transition-state designs for migration and modernization. Optimize physical models for performance, scalability, maintainability, cost, and workload patterns using partitioning, clustering, indexing, denormalization, and query optimization where appropriate.
Privacy, security, and regulatory controls: Embed privacy and security by design, least privilege, classification, retention, masking, tokenization, and access controls. Ensure models support Canadian insurance reporting, auditability, records and evidence requirements, data residency and cross-border obligations, and insurance risk, actuarial, pricing, and capital modeling.
AI-ready data: Design governed datasets, semantic layers, feature models, and retrieval-ready content to support AI use cases. Ensure data is trustworthy, compliant, and fit for purpose by addressing quality, lineage, provenance, privacy, security, and bias considerations. Establish clear classification and governance for structured, unstructured, and multimodal data to improve AI accuracy, traceability, and trust.
Design assurance and conformance: Review and approve data models, schemas, APIs, and events based on established principles, risks, and trade-offs. Assess downstream impacts across data products, integrations, analytics, regulatory reporting, AI solutions, and consuming systems. Ensure implementation aligns with approved standards, document exceptions, and maintain clear decision records.
Data Views and governance: Recognize that Data View identifies the data domains/subdomains affected and their alignment with enterprise models, standards, ownership, and governance. Over time, assume ownership of the enterprise Data View and the Solution Data View for all projects, working through architecture forums, data governance boards, stewardship councils, and roadmap planning to balance enterprise control, regulatory obligations, reuse, and federated business agility.
Model lifecycle and observability: Manage model ownership, versioning, traceability, publication, discoverability, effective dating, change control, supersession, and retirement. After implementation, monitor adoption, semantic consistency, anomalies, schema drift, metadata and lineage completeness, data quality, contract compliance, compatibility, realized change impacts, and approved exceptions. Prioritize corrective action and continuous improvement with data owners, data-product owners, platform teams, and delivery backlogs.
Delivery leadership: Guide and coach data, business intelligence, analytics, AI, application, architecture, engineering, delivery, and external partner teams. Balance target-state design with delivery needs, legacy constraints, and incremental modernization.

What You'll Bring

Experience and education: 10+ years of enterprise data modeling and design experience in large, complex organizations, including leadership of large-scale or cross-domain models. Bachelor’s degree in computer science, Information Systems, Data Management, Engineering, or related discipline, or equivalent practical experience.
Enterprise modeling and governance: Expertise in conceptual, logical, and physical modeling; normalization; dimensional modeling; data vault; semantic layers; glossaries; ontologies; knowledge and context graphs; active metadata; machine-verifiable data contracts; and structured and semi-structured schemas for human, analytical, application, and AI consumers. Strong knowledge of data governance, quality, metadata, master and reference data, stewardship, lineage, retention, privacy, and security.
Data engineering and integration: Strong SQL, data profiling, source-system and query analysis, reconciliation, and source-to-target mapping skills. Strong knowledge of ETL and ELT, batch and streaming integration, APIs, change data capture, event-driven data, and versioned API and event contracts, including ownership, backward compatibility, and schema evolution.
Platforms and modeling tools: Experience with cloud data platforms and modern data ecosystems. Knowledge of Snowflake, AWS data services, PostgreSQL, Hadoop, Informatica, dbt, Airflow, AWS Glue, SAP PowerDesigner, ERwin Data Modeler, or comparable modeling, metadata, and lineage tools is an asset.
Data delivery: Experience applying enterprise semantic, metadata, quality, lineage, privacy, and security practices to governed data for machine learning, generative AI, retrieval-augmented generation, agentic AI, feature engineering, and data products, including vector and embedding structures, representativeness, bias risk, and permitted-use controls.
P&C and industry standards: Deep knowledge of Property & Casualty insurance concepts, lifecycle, terminology, and data relationships across personal and commercial lines. Ability to translate them into stable, reusable models, apply ACORD concepts, and align Canadian models with global or federated enterprise models while documenting local extensions and justified deviations.
Decision-making and stakeholder influence: Evaluate trade-offs across performance, scalability, cost, resilience, usability, privacy, and control requirements. Apply strong facilitation, consulting, negotiation, and consensus-building skills to challenge constructively, resolve competing needs, and make timely decisions with clear evidence, rationale, and stakeholder alignment. Communicate models and decisions effectively to business experts, product and data-product owners, data stewards, risk and compliance teams, architects, engineers, AI practitioners, and senior leaders.
Leadership and execution: Work independently, lead through influence, collaborate effectively across business, architecture, governance, and delivery teams, take accountability for outcomes, prioritize competing demands, and deliver effectively in a fast-paced environment.

What Makes You Stand Out

Deep P&C Insurance and ACORD Knowledge.
Relevant certifications or formal learning in data management, cloud platforms, data governance, or enterprise architecture are assets, including DAMA CDMP, SnowPro, AWS, or TOGAF.

What You’ll Get

The salary band for this position ranges from $140,000 to $175,000. Please note that individual salary is determined by factors such as job-related knowledge, skills and experience, as well as internal equity.
Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.
Outstanding Career Development opportunities.
We’ll support your professional development education.
Competitive vacation package with the option to purchase 5 extra days off per year.
Employee driven programs focused on gender, LGBTQ+, origins, diversity, and inclusion.
Corporate wellness programs to support our employees’ physical and mental health.
Employee discount on home and auto insurance (where applicable).
Hybrid flexible work model.

This job advertisement is for a new vacancy which has been posted both internally & externally.

Aviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment process to screen, assess or select applicants for a position.

Aviva Canada welcomes applications from all qualified individuals and has a process in place to provide accommodations for persons with disabilities at all stages of the hiring process and during employment. If you require an accommodation during the interview or hiring process, please contact your Aviva Talent Acquisition Partner so that an appropriate accommodation can be arranged.

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More about this job

Responsibilities

Lead enterprise data design and governance across assigned domains, defining models, standards, contracts, and secure, reusable data structures for operational, analytical, and AI solutions. Guide migration and platform modernization, review design conformance, monitor data quality and adoption, and align Canadian P&C data needs with Aviva’s global strategy.

Requirements

Requires 10+ years of enterprise data modeling and design experience in complex organizations, plus a bachelor’s degree in a relevant discipline or equivalent practical experience. Candidates should bring strong modeling, governance, SQL, integration, cloud data, and AI data practices, with deep P&C insurance and ACORD knowledge, leadership, and stakeholder influence.

Skills

Enterprise Data Modeling
Data Governance
Property and Casualty Insurance
ACORD Standards
Data Architecture
SQL
Data Integration
Data Contracts
Data Quality
Metadata and Lineage
Privacy and Security by Design
Cloud Data Platforms
AI-Ready Data Design
Stakeholder Facilitation
Data Migration and Modernization
Technical Leadership

Benefits

Annual Bonus Eligibility
Retirement Savings Plan
Share Plan
Health Benefits
Personal Wellness Programs
Volunteer Opportunities
Professional Development Support
Competitive Vacation Package
Option to Purchase Five Additional Vacation Days
Employee Discount on Home and Auto Insurance
Hybrid Flexible Work Model

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data Modeling
Conceptual Data Modeling
Logical Data Modeling
Physical Data Modeling
Data Governance
Data Contracts
Data Quality
Metadata
Data Lineage
Master Data Management
Reference Data
Property and Casualty Insurance
ACORD
SQL
ETL
ELT
APIs
Change Data Capture
Event-Driven Data
Snowflake
AWS
PostgreSQL
Hadoop
Informatica
dbt
Airflow
AWS Glue
SAP PowerDesigner
ERwin Data Modeler
Generative AI

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