BI Architect Expert

LGS, an IBM Company; Calgary; On-site; CAD 120,000 - 180,000; Part time

Job summary

LGS offers you a career in a stimulating environment where your contribution will be recognized and valued. The BI Architect Expert role defines, evolves, and governs the organization's BI, Data Analytics, and AI architecture to deliver scalable, secure data solutions that drive business value.

As a technical authority, you will mentor teams, establish governance, and lead roadmaps while applying ML, NLP, and data mining to transform data into actionable insights for strategic decision-making.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related discipline.
• Minimum of 10 years of relevant professional experience in BI, Data Analytics, Data Architecture, or AI.
• Proven experience designing enterprise-scale BI and analytics architectures.
• Demonstrated expertise in enterprise data platforms, analytics solutions, and AI technologies.
• Experience working with executive stakeholders and leading strategic initiatives is highly desirable.

Responsibilities

• Define and maintain the enterprise architecture for BI, Data Analytics, and AI solutions.
• Design scalable, integrated data and analytics architectures that support business objectives.
• Provide technical leadership and architectural guidance to project teams and stakeholders.
• Establish architecture standards, best practices, and governance for BI, analytics, and AI platforms.
• Develop technology roadmaps aligned with the organization's data and digital transformation strategy.
• Oversee solutions leveraging ML, DL, NLP, Data Mining, Text Mining, Pattern Recognition, and Machine Intelligence.
• Ensure integration of enterprise data platforms, BI tools, and AI capabilities.
• Evaluate emerging technologies and recommend innovative solutions to improve processes.
• Ensure compliance with architecture standards, data governance, security, and performance goals.
• Mentor technical teams and promote knowledge sharing across the organization.

Skills

Enterprise architecture

Data analytics

AI technologies

Leadership

Stakeholder management

Education

Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related discipline

Job description

LGS offers you a career in a stimulating environment where your contribution will be recognized and valued. Our culture focuses on diversity, training, and innovation. You will be encouraged to develop your expertise and participate in initiatives that matter to our clients and society.

By collaborating with our teams and our network of technology partners, you will contribute to Quebec's digital transformation through a strong, responsible approach oriented toward technological excellence.

Interested in a contract opportunity?

Why freelance with LGS?

• Work on diverse mandates with large-scale, high-profile clients
• Take on assignments that will advance your career in your area of expertise while giving you the opportunity to explore new technologies
• Benefit from dedicated Talent Acquisition advisors who genuinely care about your success
• Receive personalized support throughout your mandate
• Access pre-interview coaching to help you perform at your best

Job Description

The BI Architect Expert is responsible for defining, evolving, and governing the organization's Business Intelligence (BI), Data Analytics, and Artificial Intelligence (AI) architecture. This role serves as a recognized technical authority and strategic advisor, partnering with business and technology stakeholders to design scalable, secure, and high-performing data and analytics solutions that drive business value.

The incumbent leverages advanced analytics and AI technologies to transform data into actionable insights, enabling informed decision-making and innovation across the organization.

Key Responsibilities

• Define and maintain the enterprise architecture for Business Intelligence, Data Analytics, and Artificial Intelligence solutions.
• Design scalable, integrated data and analytics architectures that support business objectives.
• Provide technical leadership and architectural guidance to project teams, solution architects, and business stakeholders.
• Establish architecture standards, best practices, and governance for BI, analytics, and AI platforms.
• Develop technology roadmaps aligned with the organization's data and digital transformation strategy.
• Design and oversee solutions leveraging Machine Learning (ML), Deep Learning, Natural Language Processing (NLP), Data Mining, Text Mining, Pattern Recognition, and Machine Intelligence.
• Ensure seamless integration of enterprise data platforms, BI tools, and AI capabilities.
• Evaluate emerging technologies and recommend innovative solutions that improve business processes and organizational performance.
• Ensure compliance with enterprise architecture standards, data governance policies, security requirements, and performance objectives.
• Mentor technical teams and promote knowledge sharing and best practices across the organization.

This role encompasses all activities related to extracting meaningful insights from structured and unstructured data. It involves applying advanced analytical techniques and machine learning algorithms to data sources including numerical data, text, images, video, audio, and other formats to develop Artificial Intelligence (AI) systems that perform tasks traditionally requiring human intelligence.

These services include, but are not limited to:

• Natural Language Processing (NLP)
• Data Mining
• Text Mining
• Pattern Recognition

Core Competencies

• Recognized Subject Matter Expert (SME) and technical authority.
• Demonstrated ability to solve highly complex technical and business challenges.
• Strong strategic thinking with the ability to identify opportunities for business improvement.
• Excellent analytical, problem-solving, and decision-making skills.
• Outstanding communication, collaboration, and stakeholder management abilities.

Qualifications & Experience

• Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related discipline.
• Minimum of 10 years of relevant professional experience in Business Intelligence, Data Analytics, Data Architecture, or Artificial Intelligence.
• Proven experience designing enterprise-scale BI and analytics architectures.
• Demonstrated expertise in enterprise data platforms, analytics solutions, and AI technologies.
• Experience working with executive stakeholders and leading strategic initiatives is highly desirable.

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The use of the masculine gender is done solely for the purpose of simplifying reading and research, and does not aim at any form of discrimination. LGS values diversity and inclusion and this wording has no discriminatory intent.

Be Yourself at LGS

LGS is committed to considering all qualified candidates without regard to ethnicity, color, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodiversity, age, veteran status, or other characteristics.

This role may involve working with one or more technologies covered by export regulation sanctions. If you are not a Canadian permanent resident or Canadian citizen, please inquire with your talent acquisition advisor.