Enterprise Data & AI Architect - Information Technology

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

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 AI adoption.

Influence technology and platform investment decisions through an enterprise architecture lens.

Partner with business, data & AI, technology, security, privacy, legal, and risk leaders to embed data and AI by‑design into decision making.

Clear, adopted enterprise data and AI architecture standards and reference patterns.

Demonstrated alignment of major data and AI initiatives to target‑state architecture and governance expectations.

Reduction in architectural fragmentation, duplication, and unmanaged complexity across data and AI capabilities.

Improved enterprise confidence in data quality, governance maturity, and responsible AI practices.

Positive executive and stakeholder feedback on clarity of direction, decision support, and architectural guidance.

Evidence that data and AI investments support business outcomes, regulatory compliance, and long‑term sustainability.

Effective collaboration across portfolios, enabling delivery without architectural rework or late-stage risk escalation.

Bachelor’s Degree in Information Systems, Computer Science, Engineering, or a related discipline (or equivalent experience).

10+ years of experience in enterprise architecture, data architecture, AI architecture, or related senior technology roles.

Experience engaging senior executives and business leaders to shape strategy, investment decisions, and enterprise technology direction.

Demonstrated experience defining enterprise‑scale data and/or AI architecture in complex organizations.

Strong understanding of: Enterprise data architecture domains (integration, metadata, lineage, governance, lifecycle) AI architecture considerations (integration, consumption patterns, governance, risk controls)

Enterprise data architecture domains (integration, metadata, lineage, governance, lifecycle)

AI architecture considerations (integration, consumption patterns, governance, risk controls)

Experience establishing architecture standards, reference patterns, and roadmaps.

Strong understanding of how data and AI support business capabilities, analytics, digital platforms, and regulatory requirements.

Proven ability to work across multiple portfolios, business units, and delivery teams.

Excellent communication, facilitation, and influencing skills with both technical and executive stakeholders.

Description: Defines long-term enterprise data and AI direction aligned to business strategy and risk posture.

Proficiency Level: Advanced

Evidence: Establishes enterprise standards, roadmaps, and architecture decisions that are adopted across portfolios.

Description: Provides clear architectural direction without assuming delivery or operational ownership.

Evidence: Drives effective governance outcomes and consistent application of enterprise standards.

Description: Assesses complex data and AI ecosystems, trade-offs, and enterprise-level risks.

Evidence: Reduces duplication and improves overall architectural coherence and long-term sustainability.

Description: Works effectively across business, technology, security, legal, and risk stakeholders.

Evidence: Builds cross-portfolio alignment and incorporates stakeholder feedback into architecture decisions.

Description: Enables informed, timely decisions through architecture guidance and risk framing.

Evidence: Builds executive confidence in architecture-led decisions through clear guidance, risk assessment, and recommendations.

Description: Translates complex architectural concepts for technical and executive audiences.

Evidence: Produces clear executive materials and supports well-informed architecture decisions and outcomes.

Anticipates enterprise impacts and downstream implications of data and AI decisions.

Balances innovation with risk, compliance, and long‑term sustainability.

Provides calm, credible leadership in areas of ambiguity and emerging technology.

Sets clear architectural direction while empowering delivery teams.

Builds trust across portfolios and functions.

Resolves architectural tension by focusing on enterprise outcomes rather than local optimization.

This position will remain open until suitable candidates are selected.

Alberta Blue Cross® is an inclusive employer committed to a workplace that reflects the diversity of the communities we serve. We empower and are advocates for our team members by welcoming, respecting and valuing their unique perspectives, backgrounds, and experiences.

We offer the opportunity to work in an innovative, high-energy team-focused environment. If you have the qualifications we are looking for, apply online at careers.ab.bluecross.ca

A criminal record check satisfactory to Alberta Blue Cross will be required as a condition of employment, following a conditional offer.