Date Posted: 2026-06-25 Country: Canada Location: CA-ON-REMOTE Position Role Type: Remote Titre du poste: Directeur, ingnierie des donnes et de l''IA propos de Pratt & Whitney Canada Pratt & Whitney Canada (P&WC;) est un leader mondial de linnovation arospatiale, dont le sige social est situ Longueuil, au Qubec, depuis 1928.

Nous concevons et fabriquons des moteurs daronefs de nouvelle gnration qui propulsent la plus grande flotte mondiale davions et dhlicoptres dans les segments de laviation daffaires, de laviation gnrale et de laviation rgionale.

Depuis prs de 100 ans, nos quipes sont lavant-garde des technologies de propulsion, repoussant les limites afin de rendre nos moteurs plus performants et fiables.

Nos moteurs soutiennent des missions essentielles, du transport de passagers et de marchandises aux services mdicaux durgence, aux oprations humanitaires et la lutte contre les feux de fort, partout dans le monde.

Un employeur de choix Pratt & Whitney Canada a t reconnue comme lun des meilleurs employeurs au Canada en 2026 selon Forbes, et ce, pour une 11e anne conscutive.

Lentreprise sest galement classe au premier rang des employeurs de lindustrie de larospatiale et de la dfense au pays.

De plus, notre sige social figure toujours parmi les meilleurs employeurs de la rgion de Montral.

Ensemble, ces distinctions confirment notre rputation demployeur de choix Montral, au Canada et lchelle mondiale.

L''quipe Donnes et analytique de Pratt & Whitney est actuellement la recherche d''un Directeur, ingnierie des donnes et de l''IA.

Ce que vous ferez Nos quipes Donnes et analytique jouent un rle essentiel dans cette mission en faisant progresser les donnes, les technologies et les capacits numriques qui amliorent la faon dont nous concevons, fabriquons et soutenons la prochaine gnration de solutions arospatiales.

Le Directeur, ingnierie des donnes et de l''IA est un leader mondial des Technologies numriques responsable de l''ingnierie des donnes, de l''ingnierie de l''intelligence artificielle et des services fondamentaux permettant d''assurer des donnes fiables, accessibles et de haute qualit l''chelle de l''entreprise.

Ce rle vise rendre les donnes provenant de sources varies notamment lInternet des objets (IoT), les oprations sur le terrain ainsi que les systmes de fabrication et de production prtes tre utilises pour lanalytique, lintelligence artificielle et la prise de dcision oprationnelle.

Le titulaire veille ce que les capacits dingnierie des donnes et de lIA soient modernes, scurises, fiables et entirement conformes aux exigences mondiales en matire de commerce international, de rglementation, de contrle des exportations et de rsidence des donnes, tout en favorisant la rutilisation des capacits et leur dploiement grande chelle dans lentreprise.

Il collabore avec les quipes des Technologies numriques et les partenaires daffaires afin de fournir des capacits unifies, volutives et rutilisables en matire de donnes et dintelligence artificielle.

Principales responsabilits Stratgie dentreprise en ingnierie des donnes et de lIA Dfinir et diriger la stratgie dingnierie des donnes, dingnierie de lIA et des services fondamentaux de donnes afin dassurer leur volutivit, leur efficacit et leur alignement sur les objectifs daffaires.

Gestion du cycle de vie des donnes et de lIA Assurer la gestion de bout en bout des donnes provenant de diffrentes sources (IoT, donnes terrain, systmes de fabrication et de production), incluant lingnierie, la modlisation, le dploiement, la surveillance et lexploitation des donnes.

Architecture, ingnierie et intgration des donnes Diriger des quipes mondiales responsables de larchitecture des donnes, de lingnierie des donnes, de lintgration et des oprations de donnes.

Dfinir et appliquer les normes relatives au dveloppement logiciel, lobservabilit, la rsilience, aux indicateurs de niveau de service (SLI), aux objectifs de niveau de service (SLO), la gestion des incidents et aux procdures oprationnelles.

Veiller lalignement des pratiques darchitecture et dingnierie avec les cadres de gouvernance, les modles de domaine, les normes de scurit et les exigences de stabilit des plateformes.

Ingnierie des capacits dIA, MLOps et AI Ops Assurer la responsabilit mondiale des plateformes dIA, incluant les environnements de calcul, les outils MLOps, les processus oprationnels lis lIA et lhbergement des modles.

Garantir que les environnements dIA rpondent aux exigences de scurit, de performance, de disponibilit, de conformit et doptimisation des cots.

Dvelopper des composantes rutilisables facilitant le dveloppement, le dploiement, la surveillance et la conformit des modles dIA.

Standardisation, rutilisation et libre-service Favoriser la convergence mondiale des capacits de donnes et dIA, des outils, des pratiques dingnierie et des processus oprationnels.

Rduire la fragmentation en normalisant les mthodes de dveloppement, les structures de surveillance, les SLA/SLO et les approches de gestion du changement.

Dvelopper des composantes rutilisables, des services partags et des modles reproductibles afin daccrotre lefficacit et de limiter les ddoublements.

Mettre en place des capacits libre-service scurises et gouvernes permettant aux quipes dexploiter les donnes, lanalytique et lIA de faon autonome.

Veiller au respect des exigences relatives au contrle des exportations, au commerce international, la rsidence des donnes et la rglementation. liminer les services redondants et consolider les capacits existantes.

Excellence oprationnelle et fiabilit des services Assurer la fiabilit, la disponibilit, lobservabilit et la scurit des plateformes de donnes et dIA.

Superviser la surveillance mondiale, la gestion des incidents et des problmes, la planification de capacit, la reprise aprs sinistre et la gestion du cycle de vie.

Mettre en place des contrles oprationnels robustes en matire daccs, de gestion du changement, de prparation oprationnelle et de conformit.

Faire progresser lautomatisation, les pratiques dingnierie de fiabilit des sites (SRE) et lamlioration continue des oprations.

Collaboration et soutien aux activits Veiller ce que les capacits dveloppes soutiennent efficacement les initiatives danalytique, dintelligence artificielle, de transformation numrique et les charges de travail oprationnelles.

Collaborer avec les quipes Science des donnes, Intelligence artificielle, Ontologie et Gouvernance des donnes afin dassurer lalignement des plateformes avec les besoins en modlisation, mtadonnes, traabilit et qualit des donnes.

Soutenir les grands programmes dentreprise, notamment SAP S/4HANA, les produits de donnes mondiaux, la transformation numrique, la modernisation de lingnierie, les systmes de production et les activits de soutien.

Leadership et dveloppement organisationnel Diriger des quipes mondiales composes dingnieurs, darchitectes, de spcialistes SRE, de professionnels des oprations de plateformes et des oprations de donnes.

Promouvoir une culture dexcellence technique, de discipline oprationnelle, dinnovation et damlioration continue.





Dvelopper les capacits organisationnelles par la planification de la main-duvre, le dveloppement des comptences, le mentorat et lalignement des quipes mondiales.

Renforcer la collaboration entre les quipes dingnierie, dexploitation et les partenaires daffaires.

Qualifications requises Baccalaurat en informatique, en systmes dinformation de gestion, en technologies de linformation ou dans un domaine technique connexe, combin un minimum de 14 ans dexprience en ingnierie des donnes, ingnierie de plateformes et oprations de plateformes; OU Diplme dtudes suprieures dans un domaine pertinent combin un minimum de 12 ans dexprience dans ces mmes domaines.

Qualifications souhaites Exprience la tte dimportantes quipes mondiales dingnierie et dexploitation.

Expertise approfondie des cosystmes de donnes infonuagiques tels que Databricks , Snowflake et de leurs capacits dintgration.

Exprience des plateformes dintelligence artificielle, des pipelines MLOps, des oprations de modles et des environnements de calcul haute performance.

Excellente comprhension de larchitecture des donnes, des modles dingnierie, de lobservabilit, des cadres oprationnels et de la scurit des plateformes.

Capacit dmontre traduire une stratgie daffaires en feuille de route technologique et livrer des capacits volutives lchelle de lentreprise.

Excellentes aptitudes dinfluence, de communication et de collaboration auprs des dirigeants techniques et daffaires.

Exprience reconnue en modernisation, standardisation, ingnierie de la fiabilit et excellence oprationnelle.

Succs dmontr dans la cration et le dveloppement dquipes hautement performantes en ingnierie et en oprations.

Quel est le type de rle? En plus de transformer lavenir du vol, nous transformons galement notre faon de travailler.

Ce poste est un poste en tltravail .

Les employs occupant un rle distance travaillent principalement partir de leur domicile.

Si vous rsidez une distance raisonnable dun site RTX o travaillent des collgues avec lesquels vous collaborez rgulirement, votre gestionnaire discutera avec vous des attentes relatives une prsence occasionnelle sur site.

Les candidats recevront davantage dinformation sur le type de rle et le statut du site tout au long du processus de recrutement.

Pour les postes en mode hybride ou sur site, les dplacements vers le lieu de travail dsign demeurent la responsabilit de lemploy.

Ce que nous offrons Programme de rgime de retraite et dpargne avec cotisation de lemployeur Programme dassurance collective Possibilits davancement (progression de carrire) Programme de mrite ou programme de reconnaissance Programme de sant et bien-tre, y compris la tlmdecine Club rcratif et sportif Garderies proximit Accessibilit en transport ou programme de transport en commun et stationnement gratuit Travailler chez Pratt & Whitney Canada Le masculin est utilis sans discrimination et uniquement dans le but dallger le texte.

Nous tudierons la demande demploi de tous les candidats qualifis.

Chez Pratt & Whitney Canada, nous allions avec passion, audace et rigueur pour concevoir, fabriquer et entretenir les moteurs daronefs les plus avancs et les plus fiables au monde.

Notre travail et la qualit de nos produits contribuent au succs de nos clients, qui leur tour sauvent des vies, soutiennent le commerce, connectent les communauts et protgent les liberts.

Chez Pratt & Whitney Canada, vous avez loccasion de faire une diffrence tous les jours; il suffit de lever les yeux. tes-vous prt vous dpasser? ************************************************************************************************************** Job Title: Director of Data and AI Enablement About Pratt & Whitney Canada Pratt & Whitney Canada (P&WC;) is a global leader in aerospace innovation, proudly headquartered in Longueuil, Quebec, since 1928.

We design and manufacture next-generation aircraft engines that power the worlds largest fleet of business, general aviation, and regional aircraft and helicopters.

For nearly 100 years, our teams have been at the forefront of propulsion technology, pushing boundaries to make flight more efficient and reliable.

Our engines support missions that truly matter, from transporting people and essential goods, to enabling emergency medical services, humanitarian operations, and wildfire suppression around the world.

An Employer of Choice Pratt & Whitney Canada was named one of Canadas Best Employers for 2026 by Forbes, marking the 11th consecutive year the company has earned this recognition.

Pratt & Whitney Canada also ranked #1 employer in the aerospace and defense industry in the country.

In addition, our headquarters continues to be recognized among the top employers in the Montreal region.

Together, these distinctions reinforce our reputation as an employer of choice in Montreal, across Canada, and around the world.

What You Will Do: Our Digital and Analytics teams play a critical role in that mission by advancing the data, technologies, and digital capabilities that improve how we design, manufacture, and support the next generation of aerospace solutions.

The Director of Data and AI Enablement is a global Digital Technology leader responsible for the data engineering, AI engineering, and foundational services that enable high-quality, accessible, and reliable data across the enterprise.

This role focuses on making data from different sourcesincluding IoT, field operations, and factory and production systemsready, trusted, and usable for analytics, AI, and operational decision-making.

This leader ensures data and AI engineering capabilities are modern, secure, reliable, and fully compliant with global trade, regulatory, export control, and data residency requirements, while avoiding duplication and enabling scalable enterprise use.

The role partners across the full Digital Technology and business landscape to deliver unified and scalable data and AI capabilities for the company.

Key Responsibilities: Enterprise Data & AI Engineering Strategy: Set and lead the strategy for data engineering, AI engineering, and foundational data services, ensuring scalability, efficiency, and alignment to business outcomes.

End-to

End Data and AI Enablement Lifecycle: Ensure an endtoend lifecycle from multiple raw data sourcesincluding IoT, field data, and factory/production systemsthrough engineering, modeling, deployment, monitoring, and operational insight.

Data Architecture, Engineering, and Operational Integration: Lead global teams across data architecture, data engineering, integration engineering, and data operations.

Establish and enforce standards for coding, observability, resiliency, SLIs and SLOs, incident response,



and operational playbooks.

Align architecture and engineering practices with governance frameworks, domain models, security standards, and capability stability requirements. AI Capability Engineering, MLOps, and AI Ops: Own global AI capability capabilities including compute environments, MLOps tooling, AI operational workflows, and model hosting capabilities.

Ensure AI environments meet standards for security, performance, availability, compliance, and cost optimization.

Deliver reusable AI capability components that streamline model development, deployment, monitoring, and audit readiness.

Capability Convergence, Reusability, and Self Service Enablement: Drive global convergence of data and AI capabilities, toolsets, engineering patterns, and operational processes.

Reduce fragmentation by standardizing build patterns, monitoring structures, SLAs and SLOs, and change management approaches.

Deliver reusable capability components, shared services, and repeatable patterns to maximize scale and reduce duplication.

Enable secure, governed self service for data, analytics, and AI so teams can build on standardized capabilities with confidence.

Ensure self service capabilities adhere to export control, global trade, data residency, and regulatory requirements.

Retire redundant services and consolidate capabilities for operational simplicity and efficiency.

Operational Excellence and Service Reliability: Own reliability, availability, observability, and security across all data and AI capabilities.

Oversee global monitoring, incident management, problem management, capacity planning, disaster recovery, and lifecycle management.

Implement strong operational controls including access, change management, operational readiness reviews, and compliance enforcement.

Advance automation, SRE practices, and trend based operational improvements.

Collaboration and Business Enablement: Ensure capabilities support analytics, AI, operational workloads, transformation programs, and enterprise digital initiatives.

Partner with Data Science and AI and Data Ontology and Governance to align capability capabilities with modeling, metadata, lineage, and quality needs.

Support enterprise programs including SAP S4, global data products, digital transformation, engineering modernization, production systems, and sustainment operations.

Leadership and Organizational Development: Lead global teams of engineers, architects, SREs, capability operations professionals, and data operations specialists.

Foster a culture of engineering excellence, operational discipline, innovation, and continuous improvement.

Build organizational capability through workforce planning, skill development, mentoring, and global alignment.

Strengthen collaboration across engineering, operations, and business teams.

Qualifications You Must Have: Bachelors degree in Computer Science, Management Information System, Information Technology or related technical field with a minimum of 14+ years of experience across data capabilities, data engineering, capability engineering, and capability operations; OR Advanced degree with a minimum of 12+ years of across data capabilities, data engineering, capability engineering, and capability operations.

Qualifications We Prefer: Experience leading large global engineering and operations organizations.

Deep expertise in cloud based data ecosystems such as Databricks, Snowflake, and associated integration capabilities and cloud native operations.

Experience owning AI capabilities, MLOps pipelines, model operations, and high performance compute environments.

Strong understanding of data architecture, engineering patterns, observability, operational frameworks, and capability security.

Proven ability to translate business strategy into technical roadmaps and deliver scalable enterprise capabilities.

Demonstrated influence and communication skills across technical and business leadership.

Track record of modernization, convergence, reliability engineering, and operational excellence.

Experience building high performing engineering and operations teams.

What is the role type? In addition to transforming the future of flight, we are also transforming how and where we work.

Weve introduced role types to help you understand how you will operate in our blended work environment.

This role is Remote: Employees who are working in Remote roles will work primarily offsite (from home).

If you live within a reasonable commute of an RTX site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role.

Candidates will learn more about role type and current site status throughout the recruiting process.

For onsite and hybrid roles, commuting to and from the assigned site is the employees personal responsibility.

What do we offer? Pension and savings plan with employer contributions Group insurance program Opportunities for advancement (career progression) Merit or recognition program Health and wellness program, including virtual health care Recreational and sports club Nearby daycares Transportation accessibility or public transit program and free parking Working at Pratt & Whitney Canada The masculine pronoun is used without discrimination and solely for the purpose of making the text easier to read.

We will consider applications from all qualified candidates.

At Pratt & Whitney Canada, we combine passion, boldness, and precision to design, manufacture, and maintain the most advanced and reliable aircraft engines in the world.

Our work and the quality of our products contribute to the success of our customers, who in turn save lives, support commerce, connect communities, and protect freedoms.

At Pratt & Whitney Canada, you have the opportunity to make a difference every dayjust look up.

Are you ready to go beyond? The salary range for this role is 188,700 CAD - 238,700 CAD .

The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidates work experience, location, education/training, and key skills. RTX offers a comprehensive benefits package that includes medical and dental coverage, disability perks, a retirement savings program, and tuition assistance through RTXs Employee Scholar Program.

Eligibility for specific perks is based on factors such as position level, employment type (e.g., temporary or permanent), and business unit, and will be discussed during the hiring process.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether it is covered by a collective-bargaining agreement.

Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the companys performance.

This job posting is not for an existing position vacancy.

Privacy Policy and Term:

📌 Directeur, ingénierie des données et de l''IA (télétravail) | Director, Data and AI Enablement (Remote)
🏢 Raytheon Technologies
📍 Kenora District