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TD Bank

Offers banking, loans, and wealth management.

US Consumer Data Management Strategy Analyst

Data ManagementPosted on Nov 10
Full-time$72.3k - $117.5k

About the Job

Requirements

  • An undergraduate degree or technical certificate is required.
  • At least 5 years of relevant experience from a business administration, statistical, mathematical, scientific, or financial background is required.
  • Proficient knowledge of data sources, tools, and technologies used to prepare summaries and reports is required.
  • Analytical and problem-solving skills are required to interpret data and draw conclusions.
  • Knowledge of current and emerging competitor and market trends is required.
  • Skill in using analytical software tools, data analysis methods, and reporting techniques is required.
  • Skill in mentoring and coaching others is required.
  • Skill in using computer applications, including Microsoft Office, is required.
  • Ability to communicate effectively in oral and written form is required.
  • Ability to work collaboratively and build relationships is required.
  • Ability to work both as a team member and independently is required.
  • Ability to exercise sound judgment in making decisions is required.
  • Ability to analyze, organize, and prioritize work while meeting multiple deadlines is required.
  • Ability to handle confidential information with discretion is required.

Responsibilities

  • Support execution of consumer data management strategy by translating priorities into sustainable processes, measurable deliverables, and consistent business practices.
  • Maintain the strategic roadmap, develop reporting and dashboards, track milestones and risks, and coordinate across business, data, and technology partners.
  • Support training, documentation, and data literacy initiatives to strengthen adoption of data management standards across US Consumer.
  • Analyze business and data requirements to develop business solutions, including data models such as entity relationship diagrams and dimensional data models, business rules, data life-cycle management, governance, lineage, metadata, and reporting elements.
  • Apply automation and innovation on data platforms and to new development projects and initiatives aligned with business or organizational strategies.
  • Design and implement complex business data information management frameworks that meet business requirements.
  • Collaborate with technology and business partners to resolve issues and ensure requirements and established service-level agreements are met.
  • Work with technology and project teams to understand business data and provide analysis and requirements that keep data design and development initiatives aligned with planned designs and standards.
  • Work with partners and 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 across various platforms.
  • Identify critical data and critical data elements to support Business Segment data governance and data management frameworks or programs.
  • Understand and use business information management data deliverables as applicable.
  • Ensure business data and information are 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 analysis.
  • 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.
  • Identify or define knowledge-transfer and data-expertise activities to support business teams using information management solutions.
  • Adhere to enterprise frameworks and 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.
  • Participate in cross-functional, enterprise, and other initiatives as a subject matter expert, identifying risks and providing guidance for complex situations.
  • Conduct meaningful functional or enterprise-level analysis; use results to draw conclusions, make recommendations, and assess the effectiveness of programs, policies, and practices.
  • Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess their potential impacts.
  • Maintain a culture of risk management and control supported by effective processes aligned with risk appetite.
  • Participate fully as a team member, supporting a positive work environment that promotes service to the business, quality, innovation, teamwork, and timely communication of relevant issues and information.
  • Provide 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 grow 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 and up to date on project status, progress, and relevant day-to-day information.
  • Contribute to team skill and capability development through mentorship, knowledge sharing, and best practices.
  • Lead, motivate, and develop relationships with internal and external business partners and stakeholders to build productive working relationships.
  • Contribute to a fair, positive, and equitable environment that supports a diverse workforce.
  • Act as a brand ambassador for the business area, function, and bank internally and externally.

Desired Qualifications

  • Experience supporting data management planning, data governance, data quality, or similar programs is preferred.
  • Ability to lead through ambiguity and focus on multiple deliverables is preferred.

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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