Senior AI Data Ingestion & Integration Lead (Hybrid)

BMO; San Rafael (CA); Hybride; USD 120 000 - 250 000; Plein temps

Avantages offerts par ce poste

Health insurance

Tuition reimbursement

Accident and life insurance

Retirement savings plans

Résumé du poste

BMO is seeking a Senior Manager for Data Analytics & Reporting in a hybrid role based in California. You will lead end-to-end data ingestion, integration, and governance initiatives to enable AI/analytics across the enterprise.

Partner with data engineers, scientists, and business stakeholders to translate complex requirements into scalable data solutions. You will own the delivery of enterprise-grade data platforms, monitor performance, and drive responsible innovation with a focus on MLOps,

Qualifications

• 8-10 years of experience in Data Engineering/support or related analytics disciplines in large enterprise environments.
• 3+ years experience as a Technical Delivery leader.
• Experience leading technical delivery for 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, with large-scale datasets across cloud and on-prem 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 ability to influence decisions across business and technology.
• Familiarity with MLOps, CI/CD, and cloud-based AI infrastructure.
• Knowledge of Agile delivery methodologies and cross-functional product teams.
• Experience in 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.

Responsabilités

• Deep hands-on technical leadership with enterprise data onboarding, ingestion, and integration initiatives supporting AI, analytics, and business intelligence use cases.
• Lead and partner with Product Owners, Data Engineers, Data Scientists, and business stakeholders to translate business needs into actionable data requirements, data 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.
• Monitor pipeline performance, troubleshoot failures, and optimize cost and throughput.
• Document processes, share knowledge, and contribute to a culture of continuous learning and responsible innovation.
• Establish and monitor data quality standards, controls, and metrics; partner with governance and risk teams to ensure compliance and Responsible AI standards.
• Collaborate with AI/Data Science teams to prepare datasets for ML/Generative AI; support RAG and AI Search solutions.

Connaissances

SQL

Python

Power BI

Tableau

Azure Data Factory

Azure AI Search

MLOps

CI/CD

Agile delivery

Stakeholder management

Formation

Bachelor's degree in a related field

Master's degree preferred

Outils

Azure Data Factory

Azure AI Search

REST APIs

JSON/XML

Vector databases

Description du poste

BMO is seeking a Senior Manager for Data Analytics & Reporting in a hybrid role based in California. You will lead end-to-end data ingestion, integration, and governance initiatives to enable AI/analytics across the enterprise.

Partner with data engineers, scientists, and business stakeholders to translate complex requirements into scalable data solutions. You will own the delivery of enterprise-grade data platforms, monitor performance, and drive responsible innovation with a focus on MLOps,