Senior Business Information Management Analyst (Data Remediation)

Das ist der Job

Must be located within TD footprint: CT, DE, FL, ME, MD, MA, NH, NJ, NY, PA, RI, SC, VT, VA, DC.

Darum lohnt es sich

Independent and team‑based work. Work closely with technology and project teams to align data design and development initiatives with standards. Define knowledge transfer activities for business teams. Employee/Team Accountabilities Participate fully as a team member and promote quality and innovation.

Physical Requirements Domestic travel – Occasional International travel – Never Performing sedentary work – Continuous Performing multiple tasks – Continuous Operating standard office equipment – Continuous Responding quickly to sounds – Occasional Standing – Occasional Walking – Occasional Moving safely in confined spaces – Occasional Lifting/Carrying (under 25 lbs.) – Occasional Lifting/Carrying (over 25 lbs.) – Never Kneeling – Never Climbing – Never Reaching overhead – Never Reaching forward – Occasional Pushing – Never Pulling – Never Twisting – Never Concentrating for long periods of time – Continuous Applying common sense to deal with problems – Continuous Reading, writing and comprehending instructions – Continuous Adding, subtracting, multiplying and dividing – Continuous Benefits Our Total Rewards package reflects investments made to help employees achieve financial, physical and mental well‑being goals.

It includes base salary and variable compensation, health and well‑being benefits, savings and retirement programs, paid time off (Vacation PTO, Flex PTO and Holiday PTO), banking benefits and discounts, career development and recognition.

Senior Business Information Management Analyst (Data Remediation) Remote - Mount Laurel, New Jersey Jul 8, 2026 $72,280 - $108,160 USD Work Location: Mount Laurel, New Jersey, United States of America Hours: 40 Line of Business: Data & Analytics Job Description: We are looking for a skilled data remediation analyst to ensure our ongoing compliance with FDIC Part 370, which governs recordkeeping for timely deposit insurance determination.

The analyst will conduct in-depth data remediation analysis, perform research and quality assurance on account and customer data concerns, identify exception populations, and develop recurring reports that highlight data issues requiring remediation.

The successful candidate will bring expertise in data analysis and reporting, a solid understanding of banking products, and familiarity with regulatory requirements. Strong cross‑functional collaboration skills are essential, as is the ability to enhance the completeness, accuracy, traceability and overall usability of deposit account records.

Depth & Scope Conduct data remediation analysis for deposit account data elements required for FDIC Part 370 compliance. Experience with data remediation within financial institutions is highly preferred. Thorough understanding of both lending and deposit accounts. Create queries to pinpoint specific cases with accuracy and detail.

Outstanding organizational and time‑management skills. Expertise in Excel and basic knowledge of SQL. Experience developing issue‑detection reports, data‑quality dashboards, reconciliation reports, exception management workflows and remediation scorecards. Expert level conceptual and practical knowledge in own domain.

Advanced analytical and problem‑solving skills; fluent in one or two programming languages. Works autonomously and may coach or educate others. Lead projects of moderate to complex risk and resource requirements. In‑depth experience with large datasets and familiarity with big‑data technologies. Familiar with visualization tools.

Design, develop and manage data repositories, warehouses, marts, ETL processes. Support solutions, applications and platforms leveraged across all functional groups. Develop sophisticated data preparation frameworks and architecture. Support data‑modeling capabilities for business data consumption.

Develop data road‑map and technical solutions for integrating and managing data. Adopt the Enterprise Data model in alignment with direction from OCDO and other groups. Solicit, analyze and understand data requirements to enable development of information‑management solutions.

Education & Experience Undergraduate degree or Technical Certificate. 5+ years of relevant experience in business administration, statistics, mathematics, science or finance. Proficient knowledge of various data sources, tools and technologies used in preparing summaries and reports.

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, data‑analysis methods and reporting techniques. Mentoring or coaching experience. Proficient in MS Office. Strong written and oral communication skills.

Collaborative and relationship‑building ability. Sound judgment and decision‑making. Organizes and prioritizes work to meet multiple deadlines. Handles confidential information with discretion. Strong Excel experience preferred. Experience querying specific scenarios preferred. Excellent time‑management skills preferred.

Experience with Data Remediation in financial institutions preferred. In‑depth knowledge of lending and deposit accounts preferred. Customer Accountabilities Analyze and understand business and data requirements to develop complete business solutions. Apply automation and innovation to data platforms and new development projects.

Design and implement complex business data information‑management frameworks. Collaborate with technology and business partners to resolve issues and ensure SLAs. Shareholder Accountabilities Collaborate with stakeholders to ensure project success. Develop business requirements through research, analysis and documentation.

Provide expert guidance on data impact assessments and risk mitigation. Implement processes aligned to data‑information‑management standards. Maintain knowledge of data available from upstream sources and platforms. Identify critical data elements for governance and management frameworks.

Understand and utilize business information‑management deliverables. Ensure data retention and disposal comply with enterprise standards. Perform data profiling using TD tooling and ad hoc queries. Support users in interpreting data and resolving issues. Lead root‑cause investigations for data issues and ensure resolution.

Adhere to enterprise frameworks for data activities. Ensure compliance with internal and external requirements. Participate in cross‑functional initiatives as a subject matter expert. Conduct meaningful analysis to draw recommendations and assess program effectiveness. Maintain awareness of regulatory changes and assess impacts.

Support a culture of risk management and control. Share industry knowledge and participate in knowledge transfer. Stay current on emerging trends and grow business knowledge. Engage in performance management and development activities. Communicate project status and progress regularly. Mentor others and share best practices.

Develop and maintain working relationships with internal and external partners. Contribute to a fair, positive and equitable environment. Act as a brand ambassador for the business area or function. Accommodation TD Bank is an equal opportunity employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state or local law.

If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at USWAPTDO@td.com with your full name, best way to reach you and the accommodation needed. Apply For This Role Company: TD Location: Remote - Mount Laurel, New Jersey #J-18808-Ljbffr