Enterprise Data & AI Architect - Information Technology

abbluecross; Alberta; Hybrid; CAD 140,000 - 190,000; Full time

Job summary

Alberta Blue Cross is seeking an Enterprise Data & AI Architect to lead the architectural direction for data and AI across the organization. This senior role collaborates with Enterprise Architecture, Data & AI teams, and portfolio leaders to ensure coherent, reusable architectures that align with enterprise priorities.

The position focuses on defining architecture principles, standards, reference architectures, and roadmaps to enable trusted, secure, and scalable data and AI solutions across

Responsibilities

• Define and maintain the enterprise data and AI architecture vision, principles, standards, and target state.
• Shape executive decisions by translating architectural, technology, and data considerations into options, trade-offs, and recommendations.
• Develop and evolve enterprise reference architectures and approved patterns covering: analytical and operational data, data integration and movement, metadata, lineage, and information lifecycle, 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.

Job description

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 believe in what we do-and place trust in our employees to deliver our vision.

Working at Alberta Blue Cross® means having a career where you'll be recognized for your contributions. We value diversity, encourage our team members to maintain a healthy work-life balance and provide opportunities for career growth.

OVERVIEW:

We have an exciting opportunity 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.

Success in this role is achieved by:

• 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

WHAT YOU WILL DO:

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.
• Develop and evolve enterprise reference architectures and approved patterns covering:
  Analytical and operational data
  Data integration and movement
  Metadata, lineage, and information lifecycle
  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.
• Review significant programs, platforms, and investments to ensure alignment with enterprise standards and target‑state architecture.
• 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.

POSITION SCOPE:

• 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.
• Establishes architecture standards, reference patterns, and guardrails within the enterprise architecture framework.
• 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.

KEY ACCOUNTABILITIES:

• Provide enterprise‑wide architectural leadership for data and AI capabilities, in alignment with the broader architecture community
• Define and maintain enterprise da