Senior Business Information Management Specialist

TD • Charlotte, NC

14d • $115,440 - $173,160

About The Position

The Senior Business Information Management Specialist is a senior technical business lead responsible for complex business information management initiatives that may have enterprise-wide scope. The role provides expert guidance across data and analytics, supporting business needs and advising executives and business leaders. It requires a strong development background combining big data and database technologies, data integration, production support, and business acumen.

Within TD’s U.S. Credit Risk Data Management team, the specialist supports implementation of enterprise data management requirements for critical Credit Risk data and Governed Artifacts. The role partners with artifact and data owners, data stewards, technology teams, and upstream providers on criticality tiering, Critical Data Element identification, end-to-end lineage, and evaluation and implementation of data management controls. It also supports data repositories, warehouses, marts, data movement and transformation, reporting and BI solutions, data modeling, and data road maps and strategies.

The specialist leads complex work, resolves ambiguous and broad-impact problems, anticipates business trends and risks, and recommends technical, functional, or operational improvements. The role develops and deploys initiatives, influences stakeholders, and ensures data solutions meet business needs and align with enterprise standards. It also contributes to data governance, risk management, regulatory readiness, and cross-functional collaboration.

Requirements

• Undergraduate degree or technical certificate.
• 10+ years of relevant experience from a business administration, statistical, mathematical, scientific, or financial background.
• Advanced knowledge of data sources, tools, and technologies used to prepare summaries and reports.
• Strong development background and a blend of skills in big data technologies, database technologies, data integration tools, production support, and business acumen.
• Analytical and problem-solving skills to interpret data and draw conclusions.
• Knowledge of current and emerging competitor and market trends.
• Skill in mentoring, coaching, and performance management.
• Proficiency with computer applications, including MS Office.
• Advanced ability to lead, plan, implement, and evaluate program or project activities to ensure initiatives are completed.
• Effective oral and written communication skills.
• Ability to collaborate and build relationships across teams and functions, and to work both independently and as a team member.
• Sound judgment and the ability to analyze, organize, and prioritize work while meeting multiple deadlines.
• Ability to handle confidential information with discretion.
• Ability to contribute to the function’s strategic direction and advise senior leadership.
• Strong analytical, problem-solving, documentation, and stakeholder-management skills.
• Ability to analyze complex data flows and translate requirements into practical documentation and controls.
• Experience working across business, data, and technology teams.

Nice To Haves

• Experience in data management, data governance, data quality, data lineage, controls, risk management, or related disciplines.
• Financial services, credit risk, regulatory, or risk-data experience.

Responsibilities

• Support Governed Artifact criticality tiering, decomposition, and identification of Critical Data Elements.
• Coordinate and document end-to-end Data Supply Chain lineage, including dependencies on upstream data providers.
• Support Data Management Control Evaluations across data capture, data at rest, data movement, data usage, and data quality controls.
• Identify lineage, data quality, and control gaps, and support development and tracking of remediation plans.
• Partner with U.S. Credit Risk and upstream teams to design, document, implement, and operationalize data controls within appropriate ownership areas.
• Maintain documentation, evidence, inventories, and status reporting to demonstrate compliance with enterprise data management requirements.
• Support Tier 1 Data Supply Chain assessments and certification readiness.
• Analyze, design, and develop data repositories, warehouses, marts, data movement, data wrangling, data mapping, and ETL processes.
• Support reporting and business intelligence solutions, applications, platforms, and tools used across functional groups.
• Develop or support data preparation frameworks and architecture for data features consumed by Data Scientists.
• Support data modeling to structure business data for a variety of uses.
• Support business teams in using and understanding data and reporting solutions.
• Develop data road maps, information management strategies, and technical solutions for integrating, transforming, and managing data.
• Drive data-centric solution development focused on complex data integration and adopt the Enterprise Data Model in alignment with enterprise direction.
• Elicit, analyze, and understand data requirements to enable development of information management solutions.
• Lead or advise teams on detailed system design for data integration processes, data marts, and data warehouse builds or extensions.
• Lead development or adoption of data warehouse and big data environments by collaborating with stakeholders on requirements and implementation approaches.
• Partner with technology teams to troubleshoot issues, manage capacity, and plan environment optimization and expansion.
• Coordinate with project and resource managers to establish project plans and necessary resources.
• Gather, analyze, document, and maintain data requirements for business applications, interfaces, and reporting environments, including data maps.
• Apply standards and best practices to ensure application data is accurate, complete, current, understandable, and accessible.
• Work with data owners to define and manage data dictionaries and catalogs for data platforms, systems, servers, and applications.
• Coordinate data modelers, data warehouse and integration developers, and data management processes for database usage and warehousing.
• Implement, maintain, and enhance Enterprise Data Governance policies in alignment with TD standards.
• Provide thought leadership on emerging information management solutions and frameworks, and assess emerging issues, trends, and regulatory requirements.
• Manage programs, policies, and practices to meet business needs, comply with requirements, and align with priorities and risk appetite.
• Provide expert leadership across cross-functional and enterprise initiatives, identifying risks and guiding complex situations.
• Contribute to team knowledge transfer, cross-training, project status communications, and a positive, collaborative work environment.
• Mentor, coach, and contribute to performance management and development activities.

Benefits

• Health and well-being benefits
• Savings and retirement programs
• Paid time off, including Vacation PTO, Flex PTO, and Holiday PTO
• Banking benefits and discounts
• Career development
• Reward and recognition
• Variable compensation or incentive awards, potentially including cash and/or equity incentive awards

What This Job Offers

• Job Type: Full-time
• Career Level: Senior