Req Id: 424823
At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences.
We provide a supportive and inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play.
Join us. You belong at Bell.

SUMMARY

We are seeking a highly skilled and experienced Senior Solution Architect II, possessing expertise in Data and Artificial Intelligence, to spearhead our data and AI-ML roadmaps. This pivotal role involves close collaboration with the enterprise data and AI team to drive innovation and implement cutting-edge solutions. The successful candidate will be instrumental in shaping the future of our data and AI capabilities.

ADDITIONAL REQUIREMENTS

• Proficiency in SAP data landscape and environment, including hands-on experience with SAP data integration tools and technologies
• Experience integrating AI solutions with SAP systems, including the utilization of SAP Joule
• In-depth understanding of SAP data models and data governance principles, ensuring compliance with organizational standards
• Familiarity with SAP Analytics Cloud and other SAP reporting tools, enabling data-driven decision-making
• Knowledge of SAP Business Technology Platform and its capabilities for developing and deploying AI solutions
• Experience with SAP Leonardo and its AI/ML capabilities, leveraging pre-trained models and custom development
• Ability to collaborate effectively with SAP consultants and developers, ensuring seamless integration of AI solutions into the SAP ecosystem
• Strong understanding of data security and privacy considerations within the SAP environment, implementing appropriate safeguards
• Experience with SAP data migration and transformation projects, ensuring data quality and consistency
• Ability to stay up-to-date with the latest SAP technologies and trends, continuously learning and adapting to new developments

CRITICAL QUALIFICATIONS

• A bachelor’s degree in computer science, data science, or a related field is absolutely essential for this important position.
• Possession of at least ten years of professional experience in data architecture, data engineering, or a related role is absolutely required.
• Extensive hands-on experience with cloud-based data and AI solutions
• Deep understanding of machine learning algorithms, statistical modeling techniques, and data visualization tools is exceptionally critical for success.
• Proven ability to design and implement scalable data pipelines using technologies such as Apache Spark, Apache Kafka, and Apache Flink is extremely important.
• Experience with generative AI models such as Google Gemini for data solutions and Amazon Q for data solutions is extraordinarily valuable in this position.
• Strong knowledge of data warehousing concepts, data modeling techniques, and database management systems, including both relational and NoSQL databases is critical.
• Familiarity with data governance principles, data quality management practices, and data security protocols is extraordinarily important in this role.
• Excellent communication, interpersonal, and presentation skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences is extremely important.
• Relevant certifications, such as AWS Certified Solutions Architect or Google Cloud Certified Professional Data Engineer, are highly desirable and extremely valuable.

PREFERRED QUALIFICATION

• A master’s degree or doctorate in computer science, data science, or a related field is certainly considered advantageous for this position.
• Experience with big data technologies such as Hadoop, Hive, and Pig
• Familiarity with DevOps practices, including continuous integration and continuous delivery
• Knowledge of containerization technologies such as Docker and Kubernetes
• Experience with data science platforms such as Databricks, SageMaker, and Azure Machine Learning
• Familiarity with data privacy regulations, such as GDPR and CCPA
• Experience with graph databases and knowledge graph technologies
• Strong analytical and problem-solving skills, with the ability to identify and resolve complex technical issues is a definite plus.

KEY RESPONSIBILITIES

• Assume a leadership position in the design and implementation of comprehensive data and AI solutions, aligning with overall business objectives and strategic goals.
• Collaborate closely with cross-functional teams, including data scientists, data engineers, and business stakeholders, to gather requirements and translate them into actionable technical specifications.
• Develop and maintain detailed architectural blueprints, encompassing data pipelines, machine learning models, and AI-powered applications, ensuring scalability and maintainability.
• Provide technical guidance and mentorship to junior architects and engineers, fostering a culture of continuous learning and knowledge sharing within the team.
• Evaluate and recommend emerging technologies and industry best practices in the fields of data management, artificial intelligence, and machine learning, driving innovation and efficiency.
• Lead the development of proof-of-concept projects to validate new technologies and architectural patterns, demonstrating their potential value to the organization.
• Ensure adherence to data governance policies and security standards, safeguarding sensitive information and maintaining compliance with regulatory requirements.
• Participate actively in architectural review boards, providing expert feedback and guidance on proposed solutions, ensuring alignment with enterprise standards.
• Contribute to the development of data and AI strategies, roadmaps, and budgets, aligning with overall business priorities and resource constraints.
• Stay abreast of the latest advancements in data and AI technologies, attending conferences, workshops, and training sessions to enhance your knowledge and skills.

PLEASE APPLY DIRECTLY ONLINE TO BE CONSIDERED FOR THIS ROLE. APPLICATIONS THROUGH EMAIL WILL NOT BE ACCEPTED.

We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you’ll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you’ll enjoy a 35% discount on our services and access exclusive offers from our partners.
At Bell, we are proud of our focus on fostering an inclusive and accessible workplace where all team members feel valued, respected, supported, and that they belong.
We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.
Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.
Created: Canada, QC, Montreal
Bell, one of Canada’s Top 100 Employers