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Added 7 mins ago
SP
Sr. Analyst, Product and Pricing Operations
Salesforce Partner Canada
Toronto, ON
- Full-time
Lead key operational workstreams for newly acquired product launches to ensure rapid go-to-market readiness.
Added 22 mins ago
CG
Lead, Operations
Canada Goose
Ottawa, ON · Rideau Centre
- Full-time
As a key member of the store leadership team, the Lead - Experience is responsible for creating highly engaging customer journeys, helping cement Canada Goose as a luxury performance…
Added 22 mins ago
C
Lead Software Engineer - Enterprise Applications
Citi
Mississauga, ON
- Full-time
Citi’s Banking Technology organization is seeking a highly hands-on Lead Software Engineer to design, build, and deploy cutting‑edge AI solutions for Investment, Corporate, and Commercial…
Added 22 mins ago
C
Sr. Consultant, Solution Design and Strategy-Payments
CIBC
Toronto, ON
- Full-time
Design Council: Lead the design council, which will be a forum with key stakeholders to determine key aspects of the solution, ensure buy-in of the solution design from key stakeholders,…
Added 37 mins ago
TT
Senior Project Controller
Tetra Tech
Mississauga, ON
- Full-time
Join Tetra Tech to make a real difference. Our work leverages cutting-edge technologies, advanced analytics, and the expertise of world-class scientists and engineers to create meaningful…
Added 52 mins ago
Research Developer, Frontier AI Incubation, DeepMind
Google
Montreal, QC
2 years of experience in machine learning, algorithm design, data structures, or distributed software systems.
Added 1 hour ago
CI
Director of Marketing, Defence
Calian in Space & Technology
Ottawa, ON
- Full-time
We are looking for a Director, Defence Marketing to help lead the marketing and communications strategy for Calian’s Defence business across Canada, NATO and allied markets.
Added 1 hour 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
Lead hypothesis‑driven hunts using MITRE ATT&CK and behavioral analytics to uncover ransomware, data exfiltration, POS malware, supply‑chain compromises, card skimming, cloud…
Added 1 hour ago
Strategic Sourcing - Strategic Sourcing Specialist
Mohawk Medbuy Corporation (MMC)
Burlington, ON · ON · Kingston, ON · London, ON · Thunder Bay, ON · Toronto, ON · Chatham-Kent, ON
…redevelopment) and nutrition solutions. Other services include data analytics, in-hospital logistics, warehousing, technology, procure-to-pay and accounts…
Added 1 hour ago
B
Senior Manager, Credit Risk Strategy Oversight
BMO
Toronto, ON · BMOPLACE
- Full-time
Build strong partnerships with credit, finance, product, legal, operations, data/analytics, and modeling teams to embed risk considerations early in design.
Added 1 hour ago
BB
Partner Marketing Specialist
Best Buy Canada
Newmarket, ON
- Full-time
Partner with customer insights and analytics teams to explore shopping behaviors and analyze campaign performance data to identify new advertising investment opportunities
Added 1 hour ago
IH
Platform Database RUN Engineer
InVita Healthcare Technologies
ON · Ontario, Canada
- Full-time
Reporting to: Platform Engineering Team Lead OR Platform Operations Team Lead
Added 1 hour ago
PF
E-Commerce Lead
Pierre Fabre Laboratories
Brossard, QC · Canada - Brossard
- Full-time
Lead the market’s e-commerce acceleration and growth across assigned eRetailers (ePharmacies, pure players, marketplaces and omnichannel retailers).
Added 1 hour ago
M
People Services AI Solutions & Configuration Lead
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As People Services AI Solutions & Configuration Lead, you will serve as the technical configuration and solution design expert within our People Services AI squad. You will partner across…
Added 1 hour ago
M
Manager / Senior Manager, AI Model Risk Governance, Standards & Enablement
Manulife
Halifax, NS · Toronto, ON · Waterloo, ON · Montreal, QC
- Full-time
Manulife is seeking an experienced Manager / Senior Manager, AI Model Risk Governance, Frameworks & Standards to lead the development and evolution of the enterprise AI Model Risk…
Added 1 hour ago
M
AVP, Corporate Development
Manulife
Toronto, ON
- Full-time
Lead various stages of a transaction’s life cycle, collaborating with internal functional partners and business unit leaders as well as interfacing with counterparties and external advisors.
Added 1 hour ago
M
Senior Solution Architect
Manulife
Toronto, ON
- Full-time
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…
Added 1 hour ago
G
Commercial Oncology Pipeline Director
GSK
Mississauga, ON
- Full-time
This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:
Added 1 hour ago
O
Marketing Operations Manager
Optro
Remote, Canada
- $102,000 to $140,000 CAD / year
- Full-time
- Remote
This role exists to make our marketing systems reliable - so campaigns launch clean, leads route correctly, and the data behind our funnel can be trusted.
Added 2 hours ago
AG
Inventory - Field Data Collector
Acosta Group
Richelieu, QC
- Part-time
The Data Collection Associate is responsible for collecting and transmitting data gathered from designated retail stores primarily using a handheld device.
Added 2 hours ago
D
Director- M&A Human Capital Due Diligence & Value Creation
Deloitte
Toronto, ON
- Full-time
Lead Workforce Analytics and Financial Modeling: Direct complex quantitative analyses using workforce, payroll and financial datasets, developing robust models and defensible financial…
Added 2 hours ago
PB
Senior Performance Marketing Strategist
Powered by search
Remote, Canada
- Full-time
- Remote
We're looking for a Paid Media Strategist who can lead senior client conversations, turn campaign complexity into clear business recommendations, and confidently explain what matters, why…
Added 2 hours ago
CO
Senior Manager, Anti-Money Laundering Advisor
Capital One
Toronto, ON
- Full-time
We’re driven by what’s possible, leveraging the power of data and technology to empower innovative solutions, inspire one another to dream boldly, and take transformative ownership of…
Added 3 hours ago
AC
D365 F&O Functional Analyst
Aston Carter
Richmond, BC
- Full-time
…capabilities align with business needs and supports strong data governance and operational…
Added 3 hours ago
G
Claims Handler
Gallagher
BC · Surrey, British Columbia
- Full-time
…believe that when businesses are protected, they’re free to grow, lead, and innovate. You’ll be backed by our digital ecosystem: a client-centric suite of consulting tools making it easier…

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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