Business Information Management Jobs (NOW HIRING)

Job Summary:
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America. The Senior Business Information Management Analyst provides business technical leadership across a broad range of information management functions to support data and analytics, managing activities related to analysis, design, and support of business data management solutions.
Responsibilities:
• Provides business technical leadership across a broad range of information management functions to support the various areas of data and analytics.
• Works independently as a senior lead and may manage and direct activities related to analysis, design and support of business data management solutions on various projects ranging up to larger projects.
• Expert level professional role, considered subject matter expert with in-depth knowledge / expertise in own domain / field of specialty and working knowledge of broader related areas.
• Requires expert level conceptual and practical knowledge for own area of specialty and knowledge of broader related areas.
• Advanced analytical and problem solving skills and fluent in one or two programming language.
• Works autonomously on a range of tasks and may be relied upon to coach / educate others.
• Lead projects of moderately to complex risk and resource requirements; may lead end-to-end processes or functional programs.
• In-depth experience working with very large datasets and familiarity with big data technologies.
• Keeps abreast of rapid business and technology innovation within business information management field.
• Familiar with visualization tools.
• Analyzes, designs, develops data repositories, warehouses and marts, data movement, data wrangling, data mapping and transformation (ETL) processes.
• Supports solutions, applications, platforms, and/or tools that are leveraged across all functional groups (e.g., Data Scientists, Business Insights & Analytics, etc.).
• May also be responsible for developing sophisticated data preparation frameworks and architecture to create or modify data features for consumption by Data Scientists.
• Supports data modeling capabilities in order to structure business data to be consumed / translated into a variety of novel capacities.
• Supports business teams in the use and understanding of the data and reporting solutions.
• Develops data road map/information management strategies and corresponding technical solutions on integrating, transforming, and/or managing data.
• Drives data-centric solution development focusing on complex data integration.
• Adopts the Enterprise Data model in alignment with direction from the OCDO and other data & analytics functional groups.
• Solicits, analyzes, and understands data requirements (i.e., using market research, requirements gathering, feature planning, user experience / design considerations, etc.) to enable development of information management solutions.
Qualifications:
Required:
• 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
• Analytical and problem solving skills are required 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
• Ability to work collaboratively and build relationships
• Ability to work successfully as a member of a team and independently
• Ability to exercise sound judgement in making decisions
• Ability to analyze, organize and prioritize work while meeting multiple deadlines
• Ability to handle confidential information with discretion
• Expert level professional role, considered subject matter expert with in-depth knowledge / expertise in own domain / field of specialty and working knowledge of broader related areas
• Requires expert level conceptual and practical knowledge for own area of specialty and knowledge of broader related areas
• Advanced analytical and problem solving skills and fluent in one or two programming language
• Works autonomously on a range of tasks and may be relied upon to coach / educate others
• Lead projects of moderately to complex risk and resource requirements; may lead end-to-end processes or functional programs
• In-depth experience working with very large datasets and familiarity with big data technologies
• Keeps abreast of rapid business and technology innovation within business information management field
• Familiar with visualization tools
• Analyzes, designs, develops data repositories, warehouses and marts, data movement, data wrangling, data mapping and transformation (ETL) processes
• Supports solutions, applications, platforms, and/or tools that are leveraged across all functional groups (e.g., Data Scientists, Business Insights & Analytics, etc.)
• May also be responsible for developing sophisticated data preparation frameworks and architecture to create or modify data features for consumption by Data Scientists
• Supports data modeling capabilities in order to structure business data to be consumed / translated into a variety of novel capacities
• Supports business teams in the use and understanding of the data and reporting solutions
• Develops data road map/information management strategies and corresponding technical solutions on integrating, transforming, and/or managing data
• Drives data-centric solution development focusing on complex data integration
• Adopts the Enterprise Data model in alignment with direction from the OCDO and other data & analytics functional groups
• Solicits, analyzes, and understands data requirements (i.e., using market research, requirements gathering, feature planning, user experience / design considerations, etc.) to enable development of information management solutions
Company:
The Toronto-Dominion Bank & its subsidiaries are collectively known as TD Bank Group (TD). Founded in 1852, the company is headquartered in Wilmington, USA, with a team of 10001+ employees. The company is currently Late Stage.