Lead Data Designer in Markham

Individually we are people, but together we are Aviva. 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.

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.
• 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.
• Solution and integration modeling: Lead data design across operational stores, warehouses, data lakes/lakehouses, data products, and relational or NoSQL platforms.
• Standards, contracts, and semantic governance: Govern data modeling standards, naming conventions, and design patterns.
• Migration and physical optimization: Define canonical structures, mappings, history, survivorship, validation, cutover, and transition-state designs for migration and modernization.
• Privacy, security, and regulatory controls: Embed privacy and security by design, least privilege, classification, retention, masking, tokenization, and access controls.
• AI-ready data: Design governed datasets, semantic layers, feature models, and retrieval-ready content to support AI use cases.
• Design assurance and conformance: Review and approve data models, schemas, APIs, and events based on established principles, risks, and trade-offs.
• Data Views and governance: Recognize that Data View identifies the data domains/subdomains affected and their alignment with enterprise models, standards, ownership, and governance.
• Model lifecycle and observability: Manage model ownership, versioning, traceability, publication, discoverability, effective dating, change control, supersession, and retirement.
• Delivery leadership: Guide and coach data, business intelligence, analytics, AI, application, architecture, engineering, delivery, and external partner teams.

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.
• 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.
• Data engineering and integration: Strong SQL, data profiling, source-system and query analysis, reconciliation, and source-to-target mapping skills.
• Platforms and modeling tools: Experience with cloud data platforms and modern data ecosystems.
• 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.
• P&C and industry standards: Deep knowledge of Property & Casualty insurance concepts, lifecycle, terminology, and data relationships across personal and commercial lines.
• Decision-making and stakeholder influence: Evaluate trade-offs across performance, scalability, cost, resilience, usability, privacy, and control requirements.
• Leadership and execution: Work independently, lead through influence, collaborate effectively across business, architecture, governance, and delivery teams.

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.

What you’ll get:

• The salary band for this position ranges from $140,000 to $175,000.
• 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.
• 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.

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.