Senior Business Information Management Specialist

TD Bank • Charlotte, NC

12d

About The Position

The Senior Business Information Management Specialist is a senior technical business lead who works on complex business information management initiatives for a key business or functional area, potentially with enterprise-wide scope. The role provides leadership and expertise in data and analytics and supports implementation of enterprise data management requirements across critical U.S. Credit Risk data and Governed Artifacts. It partners with Governed Artifact Owners, Data Owners, Data Stewards, technology teams, and upstream data providers on criticality tiering, Critical Data Element identification, end-to-end data lineage, and the evaluation and implementation of data management controls.

The specialist applies advanced expertise across business and technical environments, data sources, technologies, processes, and procedures. The role develops and supports data repositories, warehouses, marts, data movement, data wrangling, mapping, transformation and ETL processes, as well as reporting and business intelligence solutions. It may develop data-preparation frameworks and architecture for Data Scientists and support data modeling. The role also develops data road maps, information management strategies, and technical solutions for integrating, transforming, and managing data, while adopting the Enterprise Data Model in alignment with the Office of the Chief Data Officer and other data and analytics groups.

The position provides advisory services to executives and business leaders, guides complex initiatives, anticipates emerging trends and risks, and recommends technical, functional, and operational improvements. It solves ambiguous problems, influences stakeholders, and collaborates across business and technology teams to deliver business-aligned solutions. Additional work includes documenting and assessing data supply chains, identifying data quality, lineage, and control gaps, tracking remediation, maintaining evidence and compliance documentation, and supporting Tier 1 Data Supply Chain assessments and certification readiness.

The role is based in Charlotte, North Carolina. The posting lists 40 hours and a base pay range of $115,440 to $173,160 USD. TD describes a total rewards package that includes base salary and variable compensation or incentive awards, health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition. Development support includes career and performance conversations, training, an online learning platform, and mentoring programs.

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.
• Expert knowledge of the business and relevant technical environment, tools, processes, procedures, and broader organizational issues.
• 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.
• Skill in using computer applications, including MS Office.
• Advanced ability to lead, plan, implement, and evaluate program or project activities to ensure initiatives are completed.
• Ability to communicate effectively orally and in writing.
• Ability to collaborate and build relationships across teams and functions, and to work both independently and as a team member.
• Ability to exercise sound judgment in decision-making.
• Ability to analyze, organize, and prioritize work while meeting multiple deadlines.
• Ability to handle confidential information with discretion.
• Ability to contribute to strategic direction and advise senior leadership.
• Ability to analyze complex data flows and translate requirements into practical documentation and controls.
• Strong documentation and stakeholder-management skills.

Nice To Haves

• Experience in data management, data governance, data quality, data lineage, controls, risk management, or related disciplines.
• Experience working across business, data, and technology teams.
• 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 the 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 supporting documentation, evidence, inventories, and status reporting needed 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 transformation (ETL) processes.
• Support reporting and business intelligence solutions, applications, platforms, and tools used across functional groups.
• Support data modeling so business data can be structured for varied uses, and 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 complex data integration solutions.
• Adopt the Enterprise Data Model in alignment with direction from the Office of the Chief Data Officer and other data and analytics functional groups.
• Elicit, solicit, analyze, and understand data requirements to enable information management solutions.
• Define and manage detailed system design for data integration processes and data mart or warehouse builds and extensions.
• Lead or support development or adoption of data warehouse and big data environments by working 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 managers and resource managers to establish project plans and required resources.
• Gather, analyze, document, and maintain data requirements for business applications, interfaces, and reporting environments in 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 or catalogs for data platforms, systems, servers, and applications.
• Manage and coordinate the efforts of data modelers, data warehouse and data integration developers, and data management processes in database usage and data warehousing.
• Implement, maintain, and enhance Enterprise Data Governance policies in alignment with TD standards.
• Provide thought leadership on emerging data information management solutions and frameworks; keep current on emerging issues, trends, and regulatory requirements and assess potential impacts.
• Ensure programs, policies, and practices are managed, meet business needs, comply with internal and external requirements, and align with business priorities.
• Provide leadership in cross-functional and enterprise initiatives, identifying risks and offering guidance on complex situations.
• Participate as a team member, share expertise, support knowledge transfer, keep stakeholders informed of project status, and contribute to a positive and equitable work environment.
• Participate in personal performance management and development activities, including cross-training.

Benefits

• Base salary and variable compensation or incentive awards, including potential cash and/or equity incentive awards through participation in an incentive plan.
• 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, training, online learning, and mentoring programs.
• Reward and recognition.

What This Job Offers

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