Senior AI Data Ingestion Lead

BMO; Lipsheim; Hybrid; CAD 147,000 - 301,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Life insurance

Retirement savings plans

Job summary

BMO is seeking a Senior Manager for the Data Ingestion & Integration team to drive end-to-end data solutions for AI/analytics workloads. You will lead data modeling, integration strategies, and scalable pipelines across structured, semi-structured, and unstructured data, ensuring governance, security, and observability.

This role partners with data engineers, data scientists, and business stakeholders to advance Generative AI initiatives.

Qualifications

• 8-10 years of experience in Data Engineering/ support, or related analytics disciplines, preferably within large enterprise environments.
• 3+ years experience as a Technical Delivery Leader (who owned the work)
• Demonstrated experience in leading technical delivery for enterprise data integration, data warehousing, ETL/ELT processes, cloud data platforms, data governance, and production analytics or AI platforms.
• Strong proficiency in SQL, Python, or similar, and experience working with large-scale datasets across cloud and on-premises environments.
• Experience using analytical and visualization tools such as Power BI, Tableau, Python, Azure Data Factory, Azure AI Search, or equivalent technologies.
• Strong communication and stakeholder management skills, with the ability to influence decisions across business and technology organizations.
• Demonstrated ability to lead initiatives, manage priorities, and deliver results in fast-paced, highly regulated environments.
• Familiarity with MLOps, CI/CD, and cloud-based AI infrastructure.
• Knowledge of Agile delivery methodologies and experience working within cross-functional product teams.
• Experience working within financial services, banking, risk, compliance, or other highly regulated industries is a plus.
• Knowledge of Responsible AI, Model Risk Management, SR 11-7, OSFI E-23, or related governance frameworks is a plus.
• Commitment to BMO’s values of inclusion, integrity, and responsible innovation.

Responsibilities

• Data Analysis & Integration Leadership with hands-on technical leadership for onboarding, ingestion, and integration initiatives supporting AI, analytics and BI use cases.
• Lead and partner with Product Owners, Data Engineers, Data Scientists, and business stakeholders to translate needs into actionable data requirements, models, and integration strategies.
• Design and implement reliable, scalable data ingestion and integration pipelines for structured, semi-structured, unstructured data and multi-modal data, ensuring AI readiness, governance, security, and observability.
• Ensure pipelines follow enterprise governance, access control, and security standards, including RBAC and lineage considerations.
• Monitor pipeline performance, troubleshoot failures, and optimize cost and throughput.
• Document processes, share knowledge, and contribute to continuous learning and responsible innovation.
• Data Quality, Governance & Compliance Establish and monitor data quality standards, controls, and metrics for accuracy, timeliness, completeness, and consistency.
• Partner with Data Governance, Risk, Compliance, and Model Risk Management teams to ensure adherence to enterprise data policies and Responsible AI standards.
• Support data lineage, metadata management, data cataloging, and traceability across ingestion and integration platforms.
• AI & Advanced Analytics Enablement Collaborate with AI and Data Science teams to prepare, validate, and optimize datasets for ML, Generative AI, and advanced analytics.
• Support multimodal data ingestion initiatives involving documents, images, audio, video, and enterprise repositories.
• Analyze performance and effectiveness of chunking, indexing, retrieval, and data preparation strategies used in RAG and AI Search solutions.
• Develop production-grade services and AI capabilities using Python, REST APIs, JSON/XML, vector databases, RAG evaluation and retrieval metrics.
• Develop analytical frameworks and KPIs to measure data platform effectiveness, ingestion performance, quality trends, and business outcomes.
• Evaluate emerging AI and data management technologies and recommend opportunities to improve DII capabilities.
• Stakeholder Management & Leadership Lead cross-functional initiatives from discovery through production, partnering with business, technology, architecture, risk, security, and operations teams.
• Provide mentorship and guidance to analysts and junior team members, fostering continuous learning and technical accountability.
• Communicate complex technical findings, risks, and recommendations to technical and non-technical audiences, including senior leadership.
• Own and drive continuous initiatives that increase automation, efficiency, and scalability of data ingestion and integration processes.

Skills

SQL

Python

Leadership

Education

Bachelor's degree

Master's degree (preferred)

Tools

Power BI

Tableau

Azure Data Factory

Azure AI Search

Job description

BMO is seeking a Senior Manager for the Data Ingestion & Integration team to drive end-to-end data solutions for AI/analytics workloads. You will lead data modeling, integration strategies, and scalable pipelines across structured, semi-structured, and unstructured data, ensuring governance, security, and observability.

This role partners with data engineers, data scientists, and business stakeholders to advance Generative AI initiatives.