Manager, Applied AI/ML, Data Science & Engineering

Job Requisition ID #

26WD98753

26WD98753 Manager, Applied AI/ML, Data Science & Engineering

French translation to follow!/Traduction française à suivre!

Position Overview

We are hiring an engineering manager to lead a multidisciplinary team working across applied AI/ML engineering, data science, infrastructure, and production data systems. This manager will directly support senior and principal-level individual contributors, including Applied AI/ML Engineers and Data Scientists, and will be responsible for helping the team execute effectively in a fast-changing technical environment.

This is not a traditional people-management role where the operating model is already fully defined. Engineering processes, delivery norms, quality expectations, AI/ML evaluation practices, and team workflows are all evolving rapidly as applied AI changes how software and data products are built. The right person will be energized by that uncertainty. They will bring structure without creating bureaucracy, help the team adapt quickly, and create an environment where strong technical generalists can do their best work. We need this person to have a high level of curiosity and flexibility, able to introduce and advocate for new ways of using AI tools in software development and delivery.

This person will manage and work with teams operating across Canada, India, Europe, and North America. They must be highly effective in distributed, asynchronous collaboration and able to build trust, clarity, and momentum across time zones.

Applied AI and data science teams are operating in a period of major change. The tools, processes, quality standards, and delivery expectations that worked for traditional software or analytics work may not be sufficient for modern AI-enabled systems. This role is critical because the team needs a manager who can help define new ways of working while still delivering meaningful outcomes.

The right manager will help the team move through uncertainty with confidence: creating enough structure to make progress, enough flexibility to adapt, and enough curiosity to keep learning as the field changes.

Responsibilities

• Manage and grow a team of senior and principal-level engineers and data scientists working on applied AI/ML-enabled systems, data products, and platform capabilities
• Create clarity in ambiguous technical and organizational environments by helping the team define priorities, execution plans, decision points, and success criteria
• Build operating rhythms that work across India, Europe, and North America, including effective async communication, meeting discipline, handoff practices, and documentation norms
• Partner closely with senior technical ICs to translate strategy and ambiguous opportunities into scoped initiatives, milestones, and measurable outcomes
• Help the team navigate rapidly changing AI/ML engineering practices, including evolving norms around prototyping, evaluation, production readiness, quality, governance, and operational ownership
• Drive continuous improvement in team processes without assuming that legacy engineering models are always the right fit for AI-driven work
• Support cross-functional execution across engineering, data science, product, analytics, infrastructure, quality, and business stakeholders
• Coach team members on communication, prioritization, technical judgment, stakeholder management, and working effectively across distributed teams
• Identify risks, dependencies, bottlenecks, and unclear ownership early, then help the team resolve them pragmatically
• Foster a team culture grounded in curiosity, adaptability, technical rigor, accountability, and psychological safety
• Balance delivery pressure with sustainable team health, ensuring the team can move quickly without losing quality or focus
• Recruit, onboard, and develop strong generalist technical talent capable of working across AI/ML, infrastructure, data systems, quality, and execution

Minimum Qualifications

• Experience managing technical teams in engineering, applied AI/ML, data science, data platforms, or adjacent domains
• Ability to lead senior and principal-level ICs without needing to be the deepest expert in every area
• Strong understanding of modern software, data, and AI/ML delivery practices, with enough technical depth to ask good questions, identify risks, and facilitate sound decisions
• Comfort operating in environments where processes are still forming, changing, or being actively redefined
• High adaptability and curiosity about how AI/ML is changing engineering practice, team structure, delivery models, and quality expectations
• Strong cross-functional leadership skills, especially in ambiguous initiatives involving engineering, data science, infrastructure, QA, product, and business stakeholders
• Excellent written communication, including planning docs, status updates, decision summaries, stakeholder updates, and async team communication
• Excellent verbal communication, including facilitation, coaching, conflict resolution, and executive or cross-functional updates
• Experience working with globally distributed teams, especially across India, Europe, and North America
• Strong project and execution management skills, including planning, dependency tracking, prioritization, and risk management
• A generalist mindset and willingness to engage across areas such as DevOps, AWS/cloud operations, data systems, infrastructure, quality, and delivery planning
• Demonstrated ability to create team focus and accountability without over-prescribing solutions or slowing down strong ICs

The Ideal Candidate

• The team has clear priorities, strong execution habits, and a shared understanding of what matters most
• Senior and principal ICs feel supported, challenged, and empowered rather than micromanaged
• Distributed collaboration improves across Canada, India, Europe, and North America
• The team adapts quickly as applied AI engineering practices evolve.
• Delivery becomes more predictable without reducing experimentation, curiosity, or technical ambition
• Engineering quality, communication, and operational ownership improve over time
• The manager becomes a trusted partner to both technical ICs and cross-functional stakeholders

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26WD98753 Responsable IA/ML appliquée, science des données et ingénierie

Présentation du poste

Nous recherchons un responsable d'ingénierie pour diriger une équipe pluridisciplinaire travaillant dans les domaines de l'ingénierie IA/ML appliquée, de la science des données, de l'infrastructure et des systèmes de données de production. Ce responsable accompagnera directement des collaborateurs seniors et principaux, notamment des ingénieurs IA/ML appliquée et des data scientists, et sera chargé d'aider l'équipe à mener à bien ses missions dans un environnement technique en constante évolution.

Il ne s'agit pas d'un poste classique de gestion du personnel où le modèle opérationnel est déjà entièrement défini. Les processus d'ingénierie, les normes de livraison, les exigences de qualité, les pratiques d'évaluation de l'IA et du ML, ainsi que les flux de travail de l'équipe évoluent tous rapidement, à mesure que l'IA appliquée transforme la manière dont les logiciels et les produits de données sont développés.

La personne idéale tirera son énergie de cette incertitude. Elle apportera de la structure sans créer de bureaucratie, aidera l'équipe à s'adapter rapidement et créera un environnement dans lequel des généralistes techniques chevronnés pourront donner le meilleur d'eux-mêmes. Nous recherchons une personne dotée d'un haut niveau de curiosité et de flexibilité, capable d'introduire et de promouvoir de nouvelles façons d'utiliser les outils d'IA dans le développement et la livraison de logiciels.

Cette personne dirigera et travaillera avec des équipes réparties au Canada, en Inde, en Europe et en Amérique du Nord. Elle devra faire preuve d'une grande efficacité dans la collaboration distribuée et asynchrone, et être capable d'instaurer la confiance, la clarté et la dynamique malgré les décalages horaires.

Les équipes d'IA appliquée et de science des données évoluent dans une période de changements majeurs. Les outils, les processus, les normes de qualité et les attentes en matière de livraison qui fonctionnaient pour les logiciels traditionnels ou les travaux d'analyse peuvent ne plus suffire pour les systèmes modernes basés sur l'IA. Ce poste est essentiel, car l'équipe a besoin d'un responsable capable de définir de nouvelles méthodes de travail tout en continuant à produire des résultats significatifs.

Le responsable idéal aidera l'équipe à traverser l'incertitude avec confiance : en créant suffisamment de structure pour progresser, suffisamment de flexibilité pour s'adapter et suffisamment de curiosité pour continuer à apprendre à mesure que le domaine évolue.

Responsabilités

• Gérer et développer une équipe d'ingénieurs et de data scientists de niveau senior et principal travaillant sur des systèmes basés sur l'IA/ML appliquée, des produits de données et des fonctionnalités de plateforme
• Appo