TD Bank is looking for a Senior Business Information Management Analyst to serve as a subject matter expert in data architecture and integration. In this senior-level role, you will be responsible for analyzing, designing, and developing data repositories, warehouses, marts, and data movement processes to support the bank's data-driven initiatives.

What You'll Do

Analyze, design, and develop data repositories, warehouses, marts, and data movement, wrangling, mapping, and transformation (ETL) processes.
Support data-centric solution development focusing on complex data integration for applications, platforms, and tools used by functional groups like Data Scientists.
Develop sophisticated data preparation frameworks and architecture to create or modify data features for consumption by Data Scientists.
Support data modeling capabilities and the adoption of the Enterprise Data model.
Solicit, analyze, and understand business and data requirements to develop complete solutions, including data models, business rules, governance, lineage, and metadata.
Apply automation and innovation on data platforms and new development projects aligned to business strategies.
Design and implement complex business data information management frameworks to meet business requirements.
Collaborate with technology and business partners to resolve issues and ensure requirements and SLAs are met.
Provide expert guidance within projects for data impact assessments and risk mitigation.
Implement processes aligned to data information management standards to ensure data quality.
Perform data profiling using TD tooling and ad hoc system query languages to validate data analysis.
Lead the investigation of root causes for data issues and ensure resolutions.
Mentor/coach others and contribute to a positive, equitable, and diverse work environment.

What We're Looking For

An Undergraduate degree or Technical Certificate.
5+ years of relevant experience from a business administration, statistical, mathematical, scientific, or financial background.
Proficient knowledge of various data sources, tools, and technologies used in preparing summaries and reports.
Advanced analytical and problem-solving skills to interpret data and draw conclusions.
Knowledge of current and emerging competitor and market trends.
Skill in using analytical software tools, data analysis methods, and reporting techniques.
Skill in mentoring/coaching others.
Skill in using computer applications including MS Office.
Ability to communicate effectively in both oral and written form and work collaboratively.
Ability to work successfully as a member of a team and independently, exercising sound judgement.
Ability to analyze, organize, prioritize work, and handle confidential information.
Expert conceptual and practical knowledge for own area of specialty.
Fluent in one or two programming languages.
In-depth experience working with very large datasets and familiarity with big data technologies.
Familiarity with visualization tools.