Enterprise Architect – Data Analytics and AI

BMO

12d•Remote

About The Position

The Data Analytics and AI Architect is a senior enterprise architect responsible for defining and advancing the organization’s data, analytics, and AI architecture vision. The role spans data platforms, advanced analytics, machine learning, and AI, ensuring alignment with business strategy, regulatory requirements, and enterprise standards.

Requirements

Typically 10 - 15+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience in data, analytics, AI, or enterprise architecture roles.
Possesses a university degree/college diploma in related discipline(s) with concentration in computer science, engineering, information systems, information technology or other related majors such as business & administration
Solid hands-on working experience on cloud platforms and enterprise-scale solutions
Solid knowledge of Architecture & Integration: APIs, microservices, cloud-native architectures, enterprise architecture frameworks (e.g., TOGAF)
Experience with Azure cloud services: Microsoft Azure (Power BI, Microsoft Fabric)
Experience with AWS cloud services: Cloud Platforms: AWS (EC2, EMR, RDS, Redshift, Glue)
Experience with Data Platforms: Enterprise Data Warehouses, Big Data platforms (Hadoop, Spark), Streaming platforms (Kafka, Spark Streaming)
Experience with Analytics & BI: Power BI, SQL-based analytics, enterprise reporting and visualization tools
Experience with AI & Machine Learning: Python, TensorFlow, PyTorch, machine learning model lifecycle management, MLOps tools
Experience with Data Governance & Management: Data Quality, Data Lineage, Metadata Management, Master Data Management, Data Management Capability Assessment Model (DCAM)
Analytical and problem solving skills - In-depth / Expert.
Verbal & written communication skills - In-depth / Expert.
Influence skills - In-depth / Expert.
Passion for technology &/or domains; Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.
Able to manage ambiguity.
Data driven decision making - In-depth / Expert.
Experience with Web Application and API design and integration, Understanding of API management, authentication and authorization standards, and integration patterns across distributed systems, including RESTful APIs, OAuth 2.0, Financial Grade API (FAPI)
Experience designing and consuming enterprise APIs for data exchange, analytics services, and AI-enabled applications.

Responsibilities

Define and evolve enterprise data, analytics, and AI architecture standards, target and reference architectures.
Design and guide end-to-end architectures covering data ingestion, analytics, ML and AI platforms.
To be a technical leader viewed as a thought leader for innovation in data, machine learning and AI areas.
Thought out for their architectural depth and breadth.
Identifies and researches data, analytics and AI relevant technologies, performs proofs of concept / prototypes, and recommends the applications of such technologies for future product architecture.
Create and grow architectural capability across the organization.
Develops and maintains strong working relationships with internal stakeholders in enterprise, technology and business groups in order to ensure adherence to Data and AI architecture standards.
Stays abreast of industry technical and business trends through participation in professional associations, practice communities, and individual learning.
Provides architectural expertise and domain knowledge to advise and guide senior leaders.
Broader work or accountabilities may be assigned as needed.
Ensure governance, risk management, and regulatory compliance.