Business Information Management Specialist

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for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to decide which sections have content. From posting: - Work Location: Mount Laurel, New Jersey, United States of America - Hours: 40 - Pay Details: $91,000 - $145,600 USD - Also mention compensation policies etc. - Job Description: description of role, responsibilities. - Depth & Scope: description of expertise. - Education & Experience: requirements. - Customer Accountabilities, Shareholder Accountabilities, Employee/Team Accountabilities: these are responsibilities. - Who We Are: maybe about company but could be omitted? It's not required but could be "About the role"? Actually "About the role" could be job description summary. We'll include About the role as a short paragraph summarizing role. We need to avoid boilerplate like EEO etc. Not present. We need to include Pay section only if posting states pay details. Yes, we have Pay Details $91,000 - $145,600 USD. So include Pay section with that. Schedule: Hours 40 => maybe full-time 40 hours per week. So we can include Schedule section with "40 hours per week". Benefits: Not explicitly mentioned. There's mention of growth opportunities, skill development, compensation policies, but not explicit benefits like health, retirement. We should not create Benefits section unless posting actually states them. It mentions "Growth opportunities and skill development are defining features". That's not a benefit per se but could be considered. Safer to omit Benefits. Qualifications: Could be Education & Experience section. Use heading "Qualifications" maybe. Or "Requirements". We'll decide. We need sections: About the role (job description summary), Responsibilities (list of duties), Requirements (education/experience), Skills (maybe technical skills), Pay, Schedule. We must not create empty sections. Let's extract content. About the role: Could be a paragraph summarizing: "We are seeking a highly qualified Business Information Specialist to support and ensure ongoing compliance with FDIC Part 370..." That's from job description. Use that as About the role. Responsibilities: list items from Depth & Scope, Customer Accountabilities, Shareholder Accountabilities, Employee/Team Accountabilities. We'll create bullet list. Requirements: Education & Experience: Undergraduate degree or Technical Certificate, 7+ years relevant experience, etc. Skills: list of skills: expertise in Excel, SQL valuable, analytical and problem solving, organizational, time management, communication, mentoring, computer applications MS Office, knowledge of FDIC Part 370, deposit/lending account data, big data solutions, visualization tools, ETL, data modeling, etc. Pay: $91,000 - $145,600 USD. Schedule: 40 hours per week. We must preserve all substantive information; not invent or summarize away detail. So we need to include specifics like "FDIC Part 370", "deposit and lending account data", "big data solutions", etc. We must not repeat job title. We must not include boilerplate like "TD is committed to providing fair and equitable compensation..." That's part of compensation policies but could be included in Pay section? It's about compensation policies; we could include as part of Pay section prose. It's substantive. We'll include a short paragraph about compensation policies. We must not include duplicated lines. Now craft HTML. Structure:

About the role

We are seeking a highly qualified Business Information Specialist to support and ensure ongoing compliance with FDIC Part 370, which establishes recordkeeping requirements for timely deposit insurance determination. In this role, the analyst will perform comprehensive data remediation analysis, conduct detailed research, and execute quality assurance activities related to account and customer data issues on a daily basis. The successful candidate will be responsible for identifying exception populations, defining and validating the business logic required to accurately capture target populations, and developing the logic to build and maintain recurring reports that highlight data quality issues requiring remediation.

Responsibilities

• Operating with a high degree of independence, serving in a senior lead capacity, managing and directing activities related to the analysis, design, implementation, and support of business data management solutions across a range of initiatives, including large-scale projects.
• Strong cross-functional partnership and communication skills; improving completeness, accuracy, traceability, and overall integrity of deposit account records.
• Supporting FDIC Part 370 reporting, regulatory testing requirements, and ongoing certification readiness.
• 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.
• Develop sophisticated data preparation frameworks and architecture to create or modify data features for consumption by Data Scientists.
• Support data modeling capabilities to structure business data for consumption into various novel capacities.
• Support business teams in the use and understanding of data and reporting solutions.
• Develop data road map/information management strategies and corresponding technical solutions on integrating, transforming, and/or managing data.
• Drive data-centric solution development focusing on complex data integration.
• Adopt the Enterprise Data model in alignment with direction from the OCDO and other data & analytics functional groups.
• Solicit, analyze, and understand data requirements (using market research, requirements gathering, feature planning, user experience/design considerations) to enable development of information management solutions.
• 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 ongoing development projects aligned to business or organizational strategies.
• Design and implement complex business data information management frameworks to provide solutions that meet business requirements.
• Collaborate with technology and business partners to resolve issues and ensure requirements and established SLAs are met.
• Work closely with various technology/project teams to understand business data and provide analysis and requirements to ensure data design/development initiatives are in line with planned design and standards.
• Work with various partners/stakeholders to ensure project success; develop business requirements by researching/analyzing and documenting business data requirements.
• Provide expert guidance within projects and change initiatives to support data impact assessments and data risk mitigation.
• Implement processes aligned to data information management standards and ensure data quality (rules/thresholds/assessments) and requirements are developed.
• Develop and maintain knowledge of data available from upstream sources and data within various platforms.
• Identify critical data/critical data elements to support Business Segment data governance and/or data management frameworks/programs.
• Ensure business data and information is retained and disposed in compliance with enterprise data standards, policies and guidelines.
• Perform data profiling using TD tooling and ad hoc system query languages to validate data analysis.
• Provide support throughout data lifecycle to resolve data issues and support user community by helping users interpret the data.
• Lead the investigation of root causes for data issues and ensure data issues are resolved.
• Identify and/or define knowledge transfer and data expertise activities to support business teams using the information management solutions.
• Adhere to enterprise frameworks or methodologies that relate to data activities for business area.
• Ensure business operations follow applicable internal and external requirements (e.g., financial controls, segregation of duties, transaction approvals and physical control of assets).
• Participate in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations.
• Conduct meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/policies/practices.
• Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts.
• Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite.
• Participate 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.
• Provide industry knowledge for own area of expertise and participate in knowledge transfer within the team, business unit, and/or cross-functional groups or committees (e.g., Data Councils).
• Keep current on emerging trends/developments and grow knowledge of the business, related tools and techniques.
• Participate in personal performance management and development activities, including cross training within own team.
• Keep 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.
• Contribute to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.
• Lead, motivate and develop relationships with internal and external business partners/stakeholders to develop productive working relationships.
• Contribute to a fair, positive and equitable environment that supports a diverse workforce.
• Act as a brand ambassador for your business area/function and the bank, both internally and/or externally.

Requirements

Undergraduate degree or Technical Certificate; 7+ years of relevant experience from a business administration, statistical, mathematical, scientific or financial background.

Skills

• Advanced 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 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.
• Ability to contribute to strategic direction of the function and provide advice to senior leadership.
• Expertise in Excel.
• SQL experience considered a valuable asset.
• In-depth expertise or experience with big data solutions and familiarity with big data technologies.
• 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 leveraged across all functional groups (e.g., Data Scientists, Business Insights & Analytics, etc.).
• Develops sophisticated data preparation frameworks and architecture to create or modify data features for consumption by Data Scientists.
• Supports data modeling capabilities to structure business data to be consumed/translated into a variety of novel capacities.
• 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 (using market research, requirements gathering, feature planning, user experience/design considerations