Enterprise Architect – Data Analytics and AI

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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.

• 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.

• 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.

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.