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TD Bank

Offers banking, loans, and wealth management.

Data Designer 2

Data ManagementPosted on Nov 12
Full-timeToronto, ON, CanadaCA$81.6k - CA$115.2kIn-person

About the Job

Requirements

  • An undergraduate degree or technical certificate, and/or at least 3 years of relevant experience from a business administration, statistical, mathematical, scientific, or financial background.
  • Expert-level conceptual and practical knowledge in the role's area of specialty, with 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.
  • Familiarity with visualization tools.
  • Ability to work autonomously on a range of tasks and coach or educate others as needed.

Responsibilities

  • Gather and translate business data extraction and consumption requirements into technical specifications, ensuring proper data ingestion, curation, and consumption.
  • Clarify solution designs that support business strategies and analytical initiatives, particularly when requirements are unclear.
  • Document, prototype, and validate current- and future-state data flow processes.
  • Identify relevant business processes affecting data curation and explain their impact on data.
  • Provide expert guidance within projects and change initiatives to support data impact assessments and data risk mitigation.
  • Implement processes aligned with data information management standards and develop data quality rules, thresholds, assessments, and requirements.
  • Develop and maintain knowledge of available data from upstream sources and various platforms.
  • Identify critical data and data elements to support business segment data governance and data management frameworks or programs.
  • Ensure business data and information is retained and disposed of in compliance with enterprise data standards, policies, and guidelines.
  • Perform data profiling using TD tools and ad hoc system query languages to validate data prototyping solutions.
  • Support users throughout the data lifecycle by resolving data issues and helping users interpret data.
  • Lead investigations into root causes of data issues and ensure issues are resolved while developing prototyping solutions.
  • Identify or define knowledge-transfer and data-expertise activities that support business teams using information-management solutions.
  • Follow enterprise frameworks or methodologies related to data activities for the business area.
  • Ensure business operations follow applicable internal and external requirements, including financial controls, segregation of duties, transaction approvals, and physical control of assets.
  • Collaborate with business partners and stakeholders to support project success, and research, analyze, and document business data requirements.
  • Participate in cross-functional and enterprise initiatives as a subject matter expert, identifying risks and providing guidance for complex situations.
  • Conduct functional or enterprise-level analysis, draw conclusions, make recommendations, and assess the effectiveness of programs, policies, and practices.
  • Monitor emerging issues, trends, and regulatory requirements and assess potential impacts.
  • Promote risk management and control practices aligned with risk appetite.
  • Collaborate with technology and business teams to align and deliver data solutions.
  • Facilitate data analysis and investigations for business users and quality assurance teams, assist with complex issues, and validate business cases during development and testing.
  • Oversee business impact after implementation and ensure solutions meet intended outcomes during the warranty period.
  • Coordinate business requirements with technical teams, supporting integration of data into source code repositories and effective source code management practices.
  • Lead or participate in business and technical design reviews, ensuring data architectures meet operational and business objectives.
  • Raise and manage change requests with business stakeholders and support release management for timely delivery.
  • Lead data governance and data management initiatives, ensuring business requirements align with enterprise data governance policies.
  • Ensure business metadata and data lineage are documented and integrated with enterprise metadata management tools.
  • Promote data security best practices to protect technical and business aspects from common vulnerabilities.
  • Document business requirements and technical decisions, and communicate risks, lessons learned, and enhancement opportunities across teams.
  • Identify and manage business risks while ensuring compliance with internal policies and regulatory guidelines.
  • Keep current on industry trends, business processes, data tools, and best practices to improve collaboration between business and technology teams.
  • Share knowledge and best practices between business users and technology teams to support cross-functional collaboration.
  • Participate as a team member, support a positive work environment, and communicate issues and relevant information in a timely manner.
  • Provide thought leadership and industry knowledge in the area of expertise, and participate in knowledge transfer within the team and business unit.
  • Keep current on emerging trends and developments and build knowledge of the business, related tools, and techniques.
  • Participate in personal performance management and development activities, including cross-training within the team.
  • Keep others informed about project status, progress, and relevant day-to-day information.
  • Contribute to team capability development by mentoring others, sharing knowledge and experience, and applying best practices.
  • Develop productive working relationships with internal and external business partners and stakeholders.
  • Represent the business area and bank as a brand ambassador internally or externally.

Desired Qualifications

  • Hands-on technical experience in data profiling, data analysis, and data management, primarily on Azure, cloud platforms, or SQL.
  • Experience operating in cross-functional teams in an international and geographically dispersed environment.
  • Team leadership experience.

About the Company

TD Bank

Offers banking, loans, and wealth management.

TD Bank provides a wide range of banking and financial services in North America for individuals, businesses, and corporations. Core offerings include checking and savings accounts, credit cards, loans, mortgages, investment products, and wealth management. TD Bank emphasizes digital banking through online and mobile apps that let customers manage money, pay bills, deposit checks, transfer funds, and manage cards. Revenue comes from interest on loans, service fees, and investment income. The company differentiates itself with a broad product lineup, large North American footprint, and integrated services for both personal and business customers, plus a focus on digital accessibility. Its goal is to be a leading, accessible financial institution that helps customers manage and grow their money through convenient, everyday banking and investment solutions.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1955

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