Enterprise Architect leading architecture strategy in AI, automation, cloud, and data platforms at financial services organization. Shaping intelligent architecture and ensuring compliance across enterprise initiatives.
Responsibilities
Define and evolve the enterprise architecture roadmap and blueprint for AI, intelligent automation, analytics, and cloud data platforms at People Corporation.
Develop and maintain reference architectures, design patterns, and standards supporting digital and data transformation.
Partner with business, data, and engineering teams to integrate automation, AI, and analytics into core business processes.
Provide architectural oversight for enterprise initiatives in AI, RPA, MLOps, and data engineering.
Ensure compliance with data privacy, security, and regulatory obligations (OSFI, PIPEDA, GDPR, etc.).
Collaborate with risk, compliance, and IT governance to define AI and automation guardrails and controls.
Evaluate emerging technologies and vendors to identify opportunities for innovation and operational efficiency.
Contribute to cloud adoption and modernization initiatives, ensuring architectural consistency and interoperability.
Advise senior stakeholders on the business value of data, AI, and automation investments.
Requirements
10+ years of experience in enterprise architecture, solution architecture, or platform strategy within financial services or a regulated industry.
Proven experience with AI/ML platforms, automation tools (e.g., Automation Anywhere, Power Automate), and data analytics ecosystems (Azure, AWS, GCP, Databricks, Snowflake, etc.)
Previous success in working in a matrix reporting, dynamic and fast-paced environment.
Bachelor’s or master’s degree in computer science, Information Systems, or related field.
Experience designing architectures for cloud-native data and AI platforms.
Excellent stakeholder management, communication, and influencing skills across business and technology teams.
Strong understanding of data governance, security, and compliance frameworks.
Strong understanding of financial services regulations, data privacy, and cybersecurity standards.
Experience working with Data platforms and technologies such as: Expertise in Databricks Lakehouse Platform, including Delta Lake, Unity Catalog, and ML flow.
Experience integrating Databricks with Azure Synapse, ADF, and Power BI for end-to-end data and analytics pipelines.
Deep understanding of data modeling, data governance, and data quality frameworks.
Proficiency in real-time data processing (Spark, Kafka, Event Hubs).
Familiarity with data cataloging and lineage tools (e.g., Purview, Collibra, Alation).
Strong grounding in Azure landing zone design, identity and access management (Entra ID), and cloud networking.
Problem-Solving: Strong analytical and troubleshooting skills with a solution-oriented mindset.
Communication & Leadership: Ability to communicate technical solutions effectively to both technical and non-technical stakeholders.
Benefits
Extended health care and dental benefits
A retirement savings plan with company contributions
A suite of Health & Wellness offerings
Mental Health programs and support for you and your family
Assistance for the completion of industry designations
Competitive compensation
Job title
Enterprise Architect – AI, Automation, Data Platforms
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