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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data management and engineering, with a strong focus on ETL processes, data modeling, and data quality management. Proven ability to lead teams, manage data strategies, and ensure compliance within regulated environments.
Highest-signal resume keywords
ETL DevelopmentData Pipeline DevelopmentSQL ProficiencyData Quality ManagementData Governance Practices
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Define and deliver the Data Foundations strategy and roadmap aligned to business, CDAO and enterprise data priorities
- Design and maintain data architecture and models for curated data assets, including master and reference data
- Establish standards for data modeling, naming, metadata, integration and data sharing
- Lead the design, development and operation of ETL processes and data pipelines
- Ensure recurring data production is accurate, timely and reconciled to authoritative sources within published service levels
- Monitor data flows, resolve issues and drive root-cause remediation
- Embed data quality checks, validation and controls throughout the data lifecycle
- Ensure data is handled securely and protected from loss or unauthorized access
- Evaluate and adopt technologies, tools and practices that improve scalability, efficiency and resilience
- Partner with Technology on platform strategy, infrastructure and production readiness
- Prepare and structure data for advanced analytics and AI use cases
- Manage and prioritize data requests with clear service levels
- Promote data literacy and self-service through documentation, data dictionaries and a community of practice
- Partner with business, analytics, AI, Technology and Data Governance teams
- Oversee business-managed applications from intake and design through delivery, enhancement and ongoing support
- Build, develop and lead a high-performing team of data professionals
- Set goals and accountability, coach for growth, foster ownership, quality and continuous improvement
- Attract, retain and develop talent
- Apply BMO’s Risk Management Framework and comply with applicable policies, laws and regulations
Requirements
What you’ll need- 9+ years of experience in data management, data engineering or a related field, including leadership of data teams
- Deep expertise in ETL and data pipeline development, data modeling and data quality management
- Strong proficiency in SQL and modern data programming languages such as Python
- Experience with cloud and modern data platforms
- Working knowledge of master data, metadata, semantic layer and data governance practices, including data privacy and integrity
- Experience operating in a highly regulated environment
- Commercial Banking or financial services experience is an asset
- Excellent communication and stakeholder management skills
- Post-secondary degree in a related field of study, or an equivalent combination of education and experience
Benefits
Comp & perks- Performance-based incentives
- Discretionary bonuses
- Health insurance
- Tuition reimbursement
- Accident and life insurance
- Retirement savings plans
- In-depth training and coaching
- Manager support
- Network-building opportunities
- Tools and resources to reach new milestones
- Equal employment opportunity
- Reasonable accommodations for individuals with disabilities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ManagementData EngineeringData ModelingData Quality ManagementETL ProcessesData ArchitectureData IntegrationData Analytics PreparationCloud Data PlatformsModern Data Programming Languages
Soft Skills
Communication SkillsStakeholder ManagementTeam LeadershipCoachingContinuous Improvement
Tools & Technologies
Data PipelinesData Flows MonitoringData Quality ChecksData DictionariesData Literacy Tools
Industry Keywords
Commercial BankingFinancial ServicesData PrivacyData IntegrityRisk Management Framework