Senior Manager, Data Engineering, Applied AI Data Ingestion & Integration (DII)
BMO Financial Group14 days ago
Base Salary
$120k - $250k/yr
Responsibilities
- Lead hands-on enterprise data onboarding, ingestion, integration, and technical delivery initiatives for AI, analytics, and business intelligence use cases.
- Translate business requirements into data requirements, data models, and integration strategies with Product Owners, Data Engineers, Data Scientists, and stakeholders.
- Design, implement, monitor, troubleshoot, and optimize ingestion and integration pipelines for structured, semi-structured, unstructured, and multimodal data.
- Ensure pipelines meet governance, access control, security, lineage, observability, and Responsible AI standards.
- Establish and monitor data quality standards, controls, metrics, metadata, cataloging, traceability, and lineage capabilities.
- Prepare, validate, and optimize datasets for machine learning, Generative AI, advanced analytics, RAG, and AI Search applications.
- Analyze chunking, indexing, retrieval, and data preparation strategies and develop production-grade services and AI capabilities.
- Develop analytical frameworks and KPIs measuring data platform effectiveness, ingestion performance, quality trends, and business outcomes.
- Lead cross-functional initiatives from discovery through production and partner with business, technology, architecture, risk, security, and operations teams.
- Evaluate emerging AI and data management technologies, drive automation and continuous improvement, and mentor analysts and junior team members.
Requirements
- 8–10 years of experience in Data Engineering, data support, or related analytics disciplines, preferably in large enterprise environments.
- At least 3 years of experience as a Technical Delivery leader who drives and owns technical work.
- Experience leading enterprise data integration, data warehousing, ETL/ELT, cloud data platforms, data governance, and production analytics or AI platforms.
- Strong proficiency in SQL, Python, or similar technologies, with experience handling large-scale datasets across cloud and on-premises environments.
- Experience with analytical and visualization tools such as Power BI, Tableau, Python, Azure Data Factory, or Azure AI Search.
- Strong communication, stakeholder management, prioritization, initiative leadership, and delivery skills in fast-paced regulated environments.
- Familiarity with MLOps, CI/CD, cloud-based AI infrastructure, Agile delivery, and cross-functional product teams.
- Financial services, banking, risk, compliance, or other regulated-industry experience is preferred.
- Knowledge of Responsible AI, Model Risk Management, SR 11-7, OSFI E-23, or related governance frameworks is preferred.
- Bachelor’s degree in computer science, information systems, data analytics, statistics, engineering, mathematics, business analytics, or a related quantitative field is required; a relevant master’s degree and certifications in data management, cloud platforms, analytics, AI, or data governance are preferred.
- Commitment to BMO’s values of inclusion, integrity, and responsible innovation.
Benefits
- Hybrid work arrangement.
- Health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans.
- Training, coaching, manager support, and network-building opportunities.
- Full-time salaried position with an application deadline of November 29, 2026.
About BMO Financial Group
BMO Financial Group is a publicly traded North American bank offering personal and commercial banking, wealth management, and capital markets services to consumers, businesses, and institutions. Founded in 1817 and headquartered in Toronto, it operates in Canada and the United States, including BMO Bank N.A. in the U.S. The company is listed on the NYSE and TSX under the symbol BMO.