Enterprise Knowledge Architect (SEG)

Cognizant; Mississauga; On-site; CAD 150,000 - 170,000; Full time

Job summary

Cognizant is seeking a Senior Manager-level Enterprise Knowledge Architect in Toronto to lead enterprise knowledge architectures, AI-native data engineering, and governance across Cognizant's SEG portfolio. The role focuses on scalable intelligent apps, data quality, and compliant cross-cloud patterns in a hybrid environment.

You will collaborate with insurance domain experts, shape standards, and mentor engineers while ensuring alignment with enterprise architecture principles and operational

Qualifications

• Extensive experience applying enterprise architecture to large-scale data and analytics programs.
• Hands-on expertise in AI native data engineering, scalable pipelines and data quality controls.
• Ability to design AI agents operating on enterprise data with governance policies.
• Strong cloud solution architecture background for hybrid environments.
• Structured design practices and architecture documentation standards.
• Understanding of property and casualty insurance data and processes.

Responsibilities

• Define and maintain an enterprise knowledge architecture strategy aligned with business goals and regulatory expectations.
• Design end-to-end data flows for AI agents and analytical apps across cloud and on-prem systems.
• Lead AI-native data engineering patterns to optimize ingestion, transformation and storage.
• Coordinate cross-functional solution design sessions translating business needs into architecture blueprints.
• Establish governance for metadata, master data and knowledge assets for data scientists and engineers.
• Define guardrails for AI agent engineering including data access and lifecycle controls.
• Collaborate with cloud teams to host AI workloads across multiple cloud providers.
• Develop reference architectures and reusable patterns for standardized data models and services.
• Evaluate emerging tools in AI engineering and cloud services for adoption paths.
• Partner with insurance domain experts to shape domain models and insights.
• Document architecture decisions and guidelines for technical teams and business partners.
• Monitor implementations for conformance with EA principles and provide remediation guidance.
• Mentor architects on enterprise architecture, AI patterns and cloud design principles.

Skills

Enterprise EA

AI data engineering

AI agent engineering

Cloud architecture

System architecture

Insurance domain

Education

AI, Cloud certifications

Job description

Enterprise Knowledge Architect (SEG)

Level: Senior Manager (SM)

Location: Toronto, CANADA

Travel: As Required

Employment Type: Full-Time

About the role:

The Enterprise Knowledge Architect is a strategic business development and client advisory role focused on driving growth across Cognizant's Software Engineering Group (SEG) portfolio. Design and govern enterprise-wide knowledge architectures that integrate AI native data engineering AI agent solutions and cloud platforms to enable scalable intelligent applications for business teams. Apply deep enterprise architecture expertise to shape standards improve data driven decision making and support property and casualty insurance initiatives in a hybrid day shift role.

Key Responsibilities:

• Define and maintain an enterprise knowledge architecture strategy that aligns AI native data engineering practices with long term business objectives and regulatory expectations in a global hybrid work environment.

• Design and document end to end data flows that enable AI agents and analytical applications to consume curated high quality and compliant data sets across multiple cloud environments and on premises systems.

• Lead the design of AI native data engineering patterns that standardize ingestion transformation and storage of structured and unstructured data while optimizing performance reliability and cost efficiency.

• Coordinate cross functional solution design sessions that translate complex business needs into enterprise architecture blueprints covering applications data integration security and infrastructure layers.

• Establish governance frameworks for metadata master data and knowledge assets that improve findability reuse and traceability for data scientists engineers and business stakeholders.

• Define guardrails for AI agent engineering including data access patterns context management approaches and lifecycle controls that ensure responsible use of intelligent automation.

• Collaborate with cloud solution teams to architect scalable secure and resilient platforms that host AI workloads data pipelines and knowledge repositories across multiple cloud providers.

• Develop reference architectures and reusable patterns that guide project teams in implementing standardized data models integration approaches and AI service interfaces.

• Evaluate emerging tools and frameworks in AI engineering data platforms and cloud services to recommend adoption paths that strengthen the enterprise knowledge ecosystem.

• Partner with property and casualty insurance domain experts to shape data and knowledge models that support underwriting claims pricing and risk management insights.

• Document architecture decisions standards and guidelines in accessible formats that enable consistent implementation by technical teams and clear understanding by business partners.

• Monitor solution implementations for conformance with enterprise architecture principles and provide remediation guidance that balances innovation with operational stability.

• Mentor architects and senior engineers on enterprise architecture practices AI native data patterns and cloud design principles that improve solution quality and long-term maintainability.

Work model

At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our various well-being programs. Based on this role's business requirements, this is an onsite position requiring 3 days a week in a client or Cognizant office in Toronto, Ontario

Required Skills and Qualifications:

• Demonstrate extensive experience applying enterprise architecture methods to large scale data and analytics programs using modern cloud platforms and integration technologies.

• Bring deep hands-on expertise in AI native data engineering including design of scalable pipelines orchestration workflows and data quality controls across complex source landscapes.

• Apply strong AI agent engineering skills to architect intelligent agents that operate on enterprise data with robust context handling observability and alignment to governance policies.

• Use solid cloud solution architecture background to design secure cost effective and performant environments for data platforms AI workloads and knowledge services in hybrid models.

• Leverage certified system architect training to enforce structured design practices modeling techniques and architecture documentation standards across initiatives.

• Offer practical understanding of property and casualty insurance processes and data structures to shape domain specific models and insights that support core insurance operations.

Certifications good to have:

AI, Cloud certifications

Cognizant will only consider applicants for this position who are legally authorized to work in the Canada without requiring company sponsorship now or at any time in the future.

Salary and Other Compensation

We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between CAD $150,000 - $170,000 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant's discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing

Disclaimer:

Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

While our system allows application in all languages, job required language(s) and proficiency level(s) vary. However, basic English proficiency is required for Company-wide communications purposes

The Cognizant community:

We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

• Cognizant is a global community with more than 300,000 associates around the world.

• We don't just dream of a better way - we make it happen.

• We look after our people, clients, company, communities and climate by doing what's right.

• We cultivate an innovative environment where you can build the career path that's right for you.

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