Business Data Designer (US)

TD Bank Group

Mount Laurel Township (NJ)

On-site

USD 98,000 - 159,000

Full time

3 days ago
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Job summary

TD Bank Group in Mount Laurel, New Jersey is seeking a Business Data Designer to translate business data requirements into robust data ingestion and governance processes. You will document data flows, support stakeholder engagement, and provide subject matter expertise across data architecture, governance, and big data initiatives.

The role emphasizes data modeling, governance, and collaboration with technology and business teams to enable reliable analytics and decision support.

Qualifications

  • Undergraduate degree or technical certificate in a relevant field.
  • 5+ years of experience in data analysis, governance, or analytics.
  • Strong knowledge of data ingestion, curation, and governance.

Responsibilities

  • Lead complex data analysis and requirements gathering.
  • Define data models, dictionaries, and data catalogs.
  • Ensure data quality, accessibility, and governance.
  • Collaborate with tech and business teams to deliver solutions.
  • Provide leadership in cross-functional data initiatives.

Skills

Programming languages
Analytical skills
Data visualization

Education

Undergraduate degree or Technical Certificate

Tools

Visualization tools

Job description

Work Location: Mount Laurel, New Jersey, United States of America

Hours: 40

Pay Details: $98,160 - 159,270 USD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Line of Business:

Technology Solutions Job Description: The Business Data Designer gathers and translates business data requirements, performs impact analysis and supports stakeholder engagement. This role ensures proper data ingestion, curation, and consumption to enable stakeholder needs. This role clarifies solution designs that support business strategies and analytical initiatives. The role documents, prototypes and validates current and future state data flow processes. This role provides subject matter expertise by identifying relevant business processes affecting data curation and explaining their impact on data.

Depth & Scope:
  • Highly seasoned professional role requiring substantial knowledge / expertise in a complex field and knowledge of broader related areas
  • Requires master level conceptual expertise and knowledge for own area of specialty / domain and knowledge of broader related areas
  • Primary subject matter expert in multiple areas and consults with clients/or project teams with respect to all aspects of business information management processes and procedures
  • Expert level analytical and problem-solving skills and fluent in multiple programming languages
  • Works autonomously as a senior/lead on a diverse range of tasks and is relied upon to coach/ educate others
  • Manages and directs activities related to analysis, design and support of business information management solutions
  • In-depth expertise or experience with big data solutions and familiarity with big data technologies
  • Keeps abreast of rapid business and technology innovation within business information management field
  • Familiar with visualization tools
Education & Experience:

Undergraduate degree or Technical Certificate, and/or;

5+ years of relevant experience from a business administration, statistical, mathematical, scientific or financial background

Customer Accountabilities:
  • Leads on complex analysis in an evolving data environment
  • Gathers, analyzes, documents and maintains all data requirements related to the business applications, interfaces, and reporting environments in different kinds of data maps
  • Applies standards and best practices to ensure that the application's data is accurate, complete, current, understandable, and accessible
  • Works with data owners to define and manages data dictionary / catalog for respective data platforms, systems / servers / applications
  • Flows to advice on efforts of data modelers, data warehouse / data integration developers, and data management process in data lakes, database usage and data warehousing
  • Adopts, maintains and enhances Enterprise Data Governance related policies, in alignment with TD's Enterprise standards
  • Provides thought leadership and insights on emerging data information management solutions and/or frameworks
  • Ensures respective programs / policies / practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities
  • Provides leadership in cross-functional / enterprise initiatives as a top expert, helping to identify risk / provides guidance for complex situations across multiple domains
  • Keeps updated on 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
Shareholder Accountabilities:
  • Collaborates with technology and business teams to ensure alignment and guide successful delivery of data solutions
  • Facilitates data analysis and investigations for business users and QA teams, assists with complex issues and validates business cases during development and testing phases
  • Provides oversight on business impact post-implementation, ensures the data solution meets the intended business outcomes during the warranty period
  • Coordinates business requirements with technical teams with an oversight of ensuring smooth integration of data into source code repositories and promoting effective source code management practices
  • Leads or participates in business and technical design reviews, ensures that data architectures meet both operational and business objectives
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