Senior Business Information Management Analyst (Data Remediation)

TD Bank•Mount Laurel, NJ

8d•Onsite

About The Position

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. In this position, the analyst will be responsible for conducting in-depth data remediation analysis, performing research and quality assurance on several account and customer data concerns each day, as well as identifying exception populations. Additionally, they will develop and maintain 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. These efforts are critical for robust FDIC 370 reporting, ongoing testing, and ensuring certification readiness. Must be located within TD footprint: CT, DE, FL, ME, MD, MA, NH, NJ, NY, PA, RI, SC, VT, VA, DC.

Requirements

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.

Nice To Haves

Experience with data remediation within financial institutions is highly preferred.
A thorough understanding of both lending and deposit accounts will further enhance a candidate’s suitability for this position.
Candidates should be adept at creating queries to pinpoint specific cases, with a keen eye for accuracy and detail.
Outstanding organizational skills and effective time management are vital for success in this role.
Strong excel experience preferred
SQL skills preferred
Experience with building queries to seek our specific scenarios preferred
Strong attention to detail preferred
Excellent time management experience preferred
Experience with Data Remediation in financial institutions preferred
In depth knowledge of lending and deposit accounts preferred

Responsibilities

Conduct data remediation analysis for deposit account data elements required for FDIC Part 370 compliance, including account holder identifiers, beneficial owner information, grantor and beneficiary data, ownership right and capacity classifications, pending reason codes, and required output file fields.
Analyze and understand business and data requirements to develop complete business solutions, including data models (entity relationship diagrams, dimensional data models) and business rules, data life-cycle management, governance, lineage, metadata and reporting elements.
Apply automation and innovation on data platforms and on-going on any new development projects / initiatives aligned to business or organizational strategies.
Design and implement complex business data information management frameworks to provide a solution that meets business requirements.
Collaborate with technology and business partners to resolve issues and ensure requirements and established SLAs.
Works closely with various technology/project teams to understand business data and provide analysis and requirements to ensure the data design / development initiatives are in line with the planned design and standards.
Works with other various partners/ stakeholders to ensure project success.
Develops business requirements by researching / analyzing and documenting business data requirements.
Provides expert guidance within projects and other various change initiatives to support data impact assessments and data risk mitigation.
Implements processes aligned to data information management standards and ensure data quality (e.g., rules / thresholds / assessments, etc.) and requirements are developed.
Develops and maintains knowledge of data available from upstream sources and data within various platforms.
Identifies critical data / critical data elements to support Business Segment data governance and/or data management frameworks / programs.
May be responsible to understand and utilize business information management data deliverables.
Ensures business data and information is retained and disposed in compliance with enterprise data standards, policies and guidelines.
Performs data profiling using TD tooling and ad hoc system query languages to validate data analysis.
Provides support throughout data lifecycle to resolve data issues and support user community by helping users interpret the data.
Leads the investigation of root causes for data issues and ensure data issues are resolved.
Identifies and/or define knowledge transfer and data expertise activities to support business teams using the information management solutions.
Adheres to enterprise frameworks or methodologies that relate to data activities for business area.
Ensures business operations follow applicable internal and external requirements (e.g. financial controls, segregation of duties, transaction approvals and physical control of assets).
Participates in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations.
Conducts meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices.
Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts.
Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite.
Participates fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest.
Provides industry knowledge for own area of expertise and participate in knowledge transfer within the team and business unit.
Keeps current on emerging trends/ developments and grow knowledge of the business, related tools and techniques.
Participates in personal performance management and development activities, including cross training within own team.
Keeps others informed and up-to-date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities.
Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.
Leads, motivates and develops relationships with internal and external business partners / stakeholders to develop productive working relationships.
Contributes to a fair, positive and equitable environment that supports a diverse workforce.
Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally.