Enterprise data architecture domains (integration, metadata, lineage, governance, lifecycle) Alberta Blue Cross is an Alberta based organization dedicated to delivering exceptional customer experience and community leadership. We’re committed to providing the best health coverage to over 1.8 million members and take an active role in promoting wellness. We value diversity, encourage our team members to maintain a healthy work-life balance and provide opportunities for career growth. We have an exciting chance for an Enterprise Data & AI Architect to join our Enterprise Architecture team. Reporting to Enterprise Architecture leadership, and in collaboration with the Data and AI team, the Enterprise Data & AI Architect is a Domain Architect within the Enterprise Architecture practice, accountable for establishing architectural direction, standards, patterns, and guardrails for data and AI across Alberta Blue Cross. The role works closely with Enterprise Architecture, Portfolio Architects, Solution Architects, and other Domain Architects to ensure data and AI architecture frameworks are coherent, reusable, and aligned with enterprise and portfolio priorities. The Enterprise Data & AI Architect is accountable for defining the enterprise data and AI architecture principles, standards, reference architectures and roadmap that enable trusted, secure, reusable, and responsible use of data and AI across business and technology portfolios. This is a senior strategic architecture role responsible for shaping the long-term direction of Alberta Blue Cross’s Data & AI capabilities and is not a data engineering, analytics delivery, or AI model development position. The role focuses on setting architectural direction and standards that enables delivery teams to build and operate data and AI solutions in a consistent,



scalable, and compliant manner across modern platforms and legacy environments, including on‑premises Oracle databases. Establishing clear enterprise direction and guardrails for data and AI Enabling business outcomes while managing risk and regulatory obligations Promoting consistency, reuse, and long‑term sustainability across portfolios Define and maintain the enterprise data and AI architecture vision, principles, standards, and target state. Shape executive decisions by translating complex architectural, technology, and data considerations into clear options, trade-offs, and recommendations. Analytical and operational data Data integration and movement Master and reference data AI and machine learning capability integration and consumption Establish architectural guardrails for trusted and responsible use of data and AI, including quality, security, privacy, retention and explainability. Provide architectural leadership across a hybrid data estate, including legacy on‑prem Oracle databases and modern data and AI platforms. Guide portfolio and solution architects on data‑ and AI‑related architecture decisions for major initiatives. Partner with data & AI governance, security, privacy, legal, and risk leaders to ensure architecture aligns with enterprise policy and regulatory requirements. Assess current‑state data and AI capabilities, identify fragmentation or technical debt,



and recommend enterprise improvement priorities. Support enterprise roadmaps for data platforms, integration patterns, metadata management, and AI enablement. Identify enterprise‑level risks and opportunities related to data and AI adoption and advise leadership accordingly. Accountable for enterprise-wide data and AI domain architecture direction. Provide strategic architectural advice that shapes enterprise technology and investment priorities for Data & AI capabilities, including major platform decisions, modernization choices, and architectural trade-offs. Provides architecture oversight and governance for major data and AI related initiatives. Plays a key role in data modernization, responsible AI adoption, and long-term enterprise architecture evolution. Does not own delivery, engineering, or operational execution, but provides domain-level architectural direction and expertise that enables these roles to make informed decisions with their specific accountabilities Provide enterprise‑wide architectural leadership for data and AI capabilities, in alignment with the broader architecture community Define and maintain enterprise data and AI architecture principles, standards, reference architectures, and target states. Ensure data and AI initiatives are aligned to enterprise strategy, risk expectations, security, privacy, and regulatory requirements. Provide architecture oversight and governance for major data‑ and AI‑related initiatives and investments. Promote consistency, reuse, and sustainability across data and AI solutions while enabling portfolio specific needs. Identify and communicate enterprise‑level risks, trade‑offs, and opportunities related to data and

📌 Enterprise Data (Edmonton)
🏢 Alberta Blue Cross
📍 Edmonton