Date limite pour présenter sa candidature : 07/30/2026Adresse : 4100 Gordon Baker RoadGroupe de famille d'emploi : TechnologiePlease note this role is subject to Hybrid Work model, working 2 days per week in the office at 4100 Gordon Baker Road, Toronto or 250 Yonge Street, Toronto.About the teamData and AI Technology (DAT) Engineering supports BMO's Digital-First, risk, regulatory and compliance requirements by building data and AI products that provide timely actionable insights to drive desired business outcomes and value. DAT Engineering collaborates with multiple groups across the bank deliver hundreds of initiatives every year to help our partners solve problems and make smarter data-driven decisions.We are a very diverse organization with plenty of exciting opportunities to apply your unique skills to solve complex business problems. If you love data, complex challenges, cutting-edge technologies, and opportunities to learn, then this is the team you want to be in.What will you doManage a team of 20+ FTE and global resourcesLead in the planning, design, development, testing, implementation, documentation, and support of data and AI productsPartner with business stakeholders in translating business requirements (functional and non-functional) into data and AI productsBuilds the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.Provide direction on technical designs and ensure alignment with standards and roadmapsProvide technical direction and guidance to junior and intermediate developersIdentify, track, and perform regression testing on defects foundIdentifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.Accelerate development by building frameworks, automation scripts, and reusable codeStrengthen development capability via mentoring, knowledge sharing,



and building communities of practiceOperates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.What do you need to succeedMust have15+ years of relevant experience and IT education and/or certification(s)5+ years of experience managing teams of FTE and global resourcesHands on experience with extract, transform, load (ETL) for various sources and downstream consumption, ability to write code and guide other team members in writing complex transformationsHands on experience in solution architecture, data modelling, designing complex systems to support large scale transformations, hands with data mining & analysis for existing and new data warehouses on-prem and cloudHands on experience in one or more of SQL, NoSQL, Python, Spark, Scala, code optimization, debuggingExperience with AI concepts, GenAI, prompt engineering, retrieval-augmented generation (RAG), AI-powered tools in SDLC, etc...Hands on experience with SSIS, Glue, cloud storage and computing services (e.G. AWS, Azure), Hadoop, Netezza, Apache Airflow or similar toolsExperience with structured, semi structured and unstructured datasets in batch and streamingExperience with data analysis, data mapping and data profilingHands on experience with DevOps methodologies, including CI/CD pipelines and infrastructure as code.Experience in handling process improvements using automation, re-modelling, modernization, re-design or update design, solution for optimal and cost efficient needsExperienced in guiding the team to code, develop, unit testing and QA new/existing pipelines,



automated solutions and ability to structure recent solutions with minimal requirements provided yet seek for clarifications as needed.Experience with spear heading discussions with counterparts, stakeholders, business, architecture teams, operations and other engineering teams.Experience in Agile delivery, including usage of JIRAExperience in defining software engineering standards and best practicesExperience in large enterprise settingExperience interacting with senior leadersExperience working in highly regulated industriesSalaire : $94,600.00 - $176,000.00Type de rémunération : SalaireCe qui précède représente la fourchette et le type de rémunération de BMO Groupe financier.Les salaires varieront en fonction de facteurs comme l’emplacement, les compétences, l’expérience, les études et les qualifications pour le poste et pourront inclure une structure de commissions. Les salaires pour les postes à temps partiel seront calculés au prorata du nombre d’heures travaillées régulièrement. Pour les rôles à commission, le salaire susmentionné représente la cible de BMO Groupe financier pour la première année au poste.La rémunération totale offerte par BMO variera selon le type de rémunération associé au poste et peut comprendre des primes de rendement, des primes discrétionnaires ainsi que d’autres avantages et récompenses. BMO offre également une assurance santé, le remboursement des frais de scolarité, une assurance accident et une assurance vie, ainsi que des régimes d’épargne-retraite.ACCEPTANCE DE LA DIVERSITÉ – EEO STATEMENTBMO s'engage à offrir un milieu de travail inclusif, équitable et accessible. Nous apprenons de nos différences et tirons notre force des gens et de leurs différents points de vue. Des mesures d’adaptation sont disponibles sur demande pour les candidats qui participent à tous les aspects du processus de sélection. Pour demander des mesures d’adaptation, veuillez communiquer avec votre recruteur.#J-18808-Ljbffr

📌 Senior Manager Data Engineering - C$94,600 - C$176,000 A Year (Winnipeg)
🏢 BMO Groupe financier
📍 Winnipeg