Senior Data Remediation Specialist (US)

TD Bank•Laurel, MD

About The Position

The Senior Data Remediation Specialist conducts data remediation analysis to support TD’s ongoing compliance with FDIC Part 370, which governs recordkeeping for timely deposit insurance determinations. The role researches and performs quality assurance on account and customer data concerns, identifies exception populations, and develops and maintains recurring reports highlighting issues that require remediation. It focuses on improving the completeness, accuracy, traceability, and usability of deposit account records to support regulatory reporting, ongoing testing, and certification readiness. The specialist analyzes deposit account data elements such as account holder identifiers, beneficial owner information, grantor and beneficiary data, ownership right and capacity classifications, pending reason codes, and required output file fields. The role also supports broader data information management work, including data requirements analysis, data modeling, data quality and governance, lineage and metadata, reporting, data profiling, issue investigation, and data lifecycle management. It works with business and technology partners to resolve issues, assess data risks and impacts, and ensure solutions align with requirements, service-level agreements, standards, and applicable policies. This is an expert-level professional role requiring substantial autonomy, advanced analysis and problem-solving, and deep knowledge of the specialist’s domain and related areas. The position may lead moderately to complex projects or processes, provide expert guidance, and mentor or educate colleagues. The role operates collaboratively while independently managing assigned work and maintaining accountability and professionalism.

Requirements

Undergraduate degree or technical certificate.
At least 5 years of relevant experience in a business administration, statistical, mathematical, scientific, or financial background.
Proficient knowledge of data sources, tools, and technologies used to prepare summaries and reports.
Advanced analytical and problem-solving skills, including the ability to interpret data and draw conclusions.
Expertise in Excel and skill in using computer applications including MS Office.
Skill in using analytical software tools, data analysis methods, and reporting techniques.
Ability to understand relational data sets and identify specific scenarios accurately.
Strong organizational skills and effective time management; ability to analyze, organize, and prioritize work while meeting multiple deadlines.
Ability to communicate effectively orally and in writing.
Ability to collaborate and build relationships, and to work both independently and as a team member.
Sound judgment in decision-making and discretion when handling confidential information.
Expert-level conceptual and practical knowledge in the area of specialty and working knowledge of broader related areas.
Advanced analytical and problem-solving skills and fluency in one or two programming languages.
In-depth experience working with very large datasets and familiarity with big data technologies.
Ability to work autonomously, manage a range of tasks, and potentially coach or educate others.
Experience leading moderately to complex projects, end-to-end processes, or functional programs.
Ability to analyze, design, or develop data repositories, warehouses, marts, data movement, data wrangling, data mapping, and ETL processes.
Ability to support data modeling, information management solutions, and complex data integration.
Ability to understand data requirements and support development of information management solutions.
Ability to maintain knowledge of relevant regulatory requirements and data information management standards.

Nice To Haves

Experience with data remediation within financial institutions is highly preferred.
Thorough understanding of lending and deposit accounts.
SQL experience is considered a valuable asset.
Familiarity with visualization tools.

Responsibilities

Conduct data remediation analysis for deposit account data elements required for FDIC Part 370 compliance.
Research account and customer data concerns, perform quality assurance, and identify exception populations.
Develop and maintain recurring reports that highlight data issues requiring remediation.
Analyze business and data requirements and develop complete business solutions, including data models, business rules, lifecycle management, governance, lineage, metadata, and reporting elements.
Apply automation and innovation to data platforms and development initiatives aligned with business or organizational strategies.
Design and implement complex business data information management frameworks that meet business requirements.
Collaborate with technology and business partners to resolve issues and ensure requirements and established service-level agreements are met.
Work with technology and project teams to analyze business data and ensure data design and development initiatives align with planned designs and standards.
Research, analyze, and document business data requirements.
Provide expert guidance on data impact assessments and data risk mitigation for projects and change initiatives.
Implement processes and requirements aligned with data information management standards and data quality practices.
Develop and maintain knowledge of data available from upstream sources and across platforms.
Identify critical data and data elements that support data governance and data management frameworks or programs.
Perform data profiling using TD tooling and ad hoc system query languages to validate data analysis.
Investigate root causes of data issues and ensure issues are resolved; support users throughout the data lifecycle, including helping them interpret data.
Define knowledge-transfer and data-expertise activities to support business teams using information management solutions.
Ensure business data is retained and disposed of in accordance with enterprise standards, policies, and guidelines.
Monitor emerging issues, trends, and regulatory requirements, and assess potential impacts.
Conduct functional or enterprise-level analysis and use results to draw conclusions, make recommendations, and assess program, policy, or practice effectiveness.
Participate in cross-functional and enterprise initiatives as a subject matter expert, identifying risks and providing guidance on complex situations.
Contribute to team development through mentorship, knowledge sharing, cross-training, and effective communication about project status and relevant work information.
Build productive relationships with internal and external business partners and stakeholders, and contribute to a positive, diverse, and equitable team environment.