
10,000+ employees
Founded 1855
🏦 Banking
đź’¸ Finance
🛡️ Insurance
đź’° Grant on 2023-10
Banking • Finance • Insurance
TD is one of North America's biggest banks offering a wide range of banking services including personal and business banking, insurance, wealth management, and securities. TD is committed to sustainability, diversity, equity, and inclusion, ensuring a supportive and inclusive workplace where employees are empowered to grow. The bank provides various roles and career opportunities across different regions with a focus on community impact and professional development. TD's culture is defined by care and respect, aimed at benefiting their business performance, customers, and communities.
🔥 1 hour ago
🌲 North Carolina – Remote
đź’µ $115.4k - $173.2k / year
⏰ Full Time
đźź Senior
🦅 H1B Visa Sponsor
đź‘» Ghost score 0%
Where this job comes from
Posted on TD's careers page, not through a job board
First seen by Remote Rocketship 1 hour ago
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10,000+ employees
Founded 1855
🏦 Banking
đź’¸ Finance
🛡️ Insurance
đź’° Grant on 2023-10
Banking • Finance • Insurance
TD is one of North America's biggest banks offering a wide range of banking services including personal and business banking, insurance, wealth management, and securities. TD is committed to sustainability, diversity, equity, and inclusion, ensuring a supportive and inclusive workplace where employees are empowered to grow. The bank provides various roles and career opportunities across different regions with a focus on community impact and professional development. TD's culture is defined by care and respect, aimed at benefiting their business performance, customers, and communities.
• Lead complex business information management initiatives supporting U.S. Credit Risk data and governed artifacts • Support criticality tiering, decomposition, and identification of Critical Data Elements (CDEs) • Coordinate and document end-to-end Data Supply Chain lineage and upstream data dependencies • Support Data Management Control Evaluations across data capture, data at rest, data movement, data usage, and data quality controls • Identify lineage, data quality, and control gaps and support remediation plans • Partner with U.S. Credit Risk and upstream teams to design, document, implement, and operationalize data controls • Maintain documentation, evidence, inventories, and status reporting for enterprise data management compliance • Support Tier 1 Data Supply Chain assessments and certification readiness • Analyze, design, and develop data repositories, warehouses, marts, data movement, data wrangling, data mapping, and ETL processes • Support reporting and Business Intelligence solutions, applications, platforms, and tools • Develop sophisticated data preparation frameworks and architecture for Data Scientist consumption • Support data modeling and structure business data for varied uses • Develop data road maps, information management strategies, and technical data integration solutions • Solicit, analyze, and document data requirements • Lead or provide expertise in system design for data integration processes and data warehouse/mart builds • Lead development or adoption of data warehouse and big data environments • Partner with technology to troubleshoot issues, manage capacity, and optimize and expand environments • Coordinate with project and resource managers to establish project plans and resources • Apply data standards and best practices to ensure data accuracy, completeness, currency, understandability, and accessibility • Define and manage data dictionaries/catalogs with data owners • Manage and coordinate data modelers, data warehouse/data integration developers, and data management processes • Implement, maintain, and enhance Enterprise Data Governance policies • Provide thought leadership on emerging data information management solutions and frameworks • Monitor regulatory requirements, risk impacts, and data governance practices • Mentor team members, support knowledge transfer, and communicate project status
• Undergraduate degree or Technical Certificate • 10+ years of relevant experience from a business administration, statistical, mathematical, scientific or financial background • Experience in data management, data governance, data quality, data lineage, controls, risk management, or related disciplines • Strong development background • Experience with big data technologies, database technologies, data integration tools, production support, and business acumen • Ability to analyze complex data flows and translate requirements into practical documentation and controls • Strong analytical, problem-solving, documentation, and stakeholder-management skills • Experience working across business, data, and technology teams • Financial services, credit risk, regulatory, or risk-data experience preferred • Advanced knowledge of 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 mentoring, coaching, and performance management • Skill in using computer applications including MS Office • Advanced ability to lead, plan, implement, and evaluate program/project activities • Ability to communicate effectively in oral and written form • Ability to work collaboratively and independently • Ability to exercise sound judgment 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 and advise senior leadership
• Variable compensation/incentive awards, including eligibility for cash and/or equity incentive awards • Health and well-being benefits • Savings and retirement programs • Paid time off, including Vacation PTO, Flex PTO, and Holiday PTO • Banking benefits and discounts • Career development • Reward and recognition • Regular career, development, and performance conversations with a manager • Online learning platform • Mentoring programs • Training and onboarding sessions • Occasional domestic travel
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