Job Description
Are you passionate about Artificial Intelligence? Do you want to work in a multilingual, dynamic, and friendly environment that fosters personal and professional growth? We would love to meet you!
As a Lead Data Scientist, you will be responsible for ensuring that all AI initiatives align with enterprise architecture standards, business strategy, and regulatory requirements. Operating within a SAFe Agile framework, you will provide deep architectural expertise, facilitate platform delivery, and support business value realization.
What does your typical day look like?
- Lead the end-to-end design and validation of AI solutions, whether developed in-house or by third-party vendors, ensuring alignment with enterprise architecture and business needs;
- Develop and operationalize an Agentic Framework for AI use cases to support modular, composable, and autonomous workflows;
- Translate business, functional, and non-functional requirements into architectural blueprints and actionable implementation plans;
- Provide technical mentorship and architectural guidance to data scientists and engineers working on AI initiatives;
- Promote architectural thinking, best practices, and code quality across cross-functional AI teams;
- Define integration patterns, orchestration workflows, and MLOps practices for seamless deployment of AI workloads across cloud-native and containerized environments;
- Support Agile Release Trains and development teams by translating architectural strategies into features, enablers, and spikes.
What skills and training do you need?
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field;
- 7–10 years of progressive experience in AI-focused technical roles, including architecture, machine learning solution design, and deployment at scale;
- Proven experience designing and implementing AI/ML solutions in enterprise environments, emphasizing modular, reusable architectures;
- Hands-on experience with modern AI platforms and orchestration tools, such as Dataiku for AI workflows and Snowflake for cloud data operations;
- Familiarity with containerized environments, model lifecycle management, and MLOps best practices;
- Experience managing and guiding a team of data scientists;
- Strong background in integrating and evaluating third-party AI products and services;
- Experience with Agile/SAFe methodologies in fast-paced, cross-functional teams;
- Relevant certifications (e.g., Dataiku DSS, Snowflake SnowPro, Azure AI Engineer Associate, MLOps tools) are advantageous;
- Bilingual proficiency in English (required) and French (asset) to support global and regional collaboration.
When you apply:
If you require assistance or accommodations during our recruitment process, please notify Human Resources so we can review and support your needs.
We offer you:
- More than just a position; we offer a professional future with competitive compensation, including base salary, performance bonus, and benefits;
- Contact your local HR department for more information about benefits available at your site.
To learn more about the Global Excel experience and our company, visit our Facebook page and website:
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