This role is eligible for a discretionary variable compensation award that considers business and individual performance.
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.
Job Description:
Data Design and Quality Engineering, owning Data Lineage/Analysis and DQ validation delivery/test case management/ and documentations, improving coordination with business and technology partners for TD Data and ensuring deliverables continue to meet compliance expectations and committed timelines.
Develop and promote data models using industry standard modeling tools
Assess business requirements by researching / analyzing and documenting business data requirements
Define, build and manage data dictionary / catalog for respective data platforms, systems / servers /applications
Ensure metadata and data lineage is captured and compatible with enterprise metadata and data management tools and processes
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Run quality assurance reports and resolve data integrity issues to ensure accurate reporting and data records
Gather, review, analyze, profile, validate, and map system data into the prototyping solution for further integration within data warehouse. Ensure reporting and analytical business needs are met
Develop solutions and recommendations for improving data quality and data integrity issues.
Analyze data issues and work with development teams to resolve issues
Understand data initiatives and capabilities, data governance principles and how they apply to the business segment
Ensure business data and information is retained and disposed in compliance with enterprise data standards, policies and guidelines
Contribute to various data activities and processes as assigned
Be knowledgeable of practices and procedures within own area of responsibility and keep updated on emerging trends for own functional area
Protect the interests of the organization – identify and manage risks, and escalate non-standard, high risk activities as necessary
Participate in and help implement continuous process / improvements
Identify, recommend and effectively execute standard practices applicable to the discipline
Adhere to internal policies/procedures and applicable regulatory guidelines
Keep updated on 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
SHAREHOLDER
Collaborate with technology and business teams to ensure alignment and successful delivery of data solutions.
Facilitate data analysis and investigations for business users and QA teams, assisting with data issues and validating business cases during development and testing phases
Provide support on business impact post-implementation, ensuring the data solution meets the intended business outcomes during the warranty period.
Coordinate business requirements with technical teams with a goal of ensuring smooth integration of data into source code repositories and promoting effective source code management practices.
Be an active participant of business and technical design reviews, ensuring that data architectures meet both operational and business objectives.
Raise and manage change requests in collaboration with business stakeholders, supporting release management processes and ensuring timely delivery.
Understand data governance and data management initiatives to ensure business requirements align with enterprise data governance policies.
Ensure business metadata and data lineage are well-documented and integrated with enterprise metadata management tools, facilitating better business understanding.
Adhere to best practices for data security, ensuring both technical and business aspects are protected from common vulnerabilities.
Document business requirements and technical decisions, ensuring risks, lessons learned, and enhancement opportunities are communicated across teams.
Help safeguarding the organization's interests by identifying business risks, while ensuring compliance with internal policies and regulatory guidelines.
Stay current on industry trends, growing knowledge of business processes, data tools, and best practices to improve collaboration between business and technology teams.
Adhere to internal policies/procedures and applicable regulatory guidelines
EMPLOYEE / TEAM
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
Support the team by continuously enhancing knowledge / expertise in own area and participate in knowledge transfer within the team and business unit
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 the success of the team by willingly assisting others in the completion and performance of work activities; provide training, coaching and/or guidance as appropriate.
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
BREADTH & DEPTH:
Experienced working professional role providing specialized business support, within their own area of specialty
Requires experienced, conceptual and practical knowledge within their own specialty
Strong analytical and problem-solving skills and fluent in at least one programming language
Lead projects or work streams within broader projects with moderate risk and may be accountable for managing ongoing activities processes and functional programs
Accountable for own work and sometimes others; acts as an escalation point or knowledge resource for others in their own area
Experience working with very large datasets and familiarity with big data technologies
Able to work with minimal direction on multiple projects and priorities
Keep abreast of rapid business and technology innovation within business information management field
Familiar with visualization tools
Generally reports to a Senior / Manager role
EXPERIENCE AND / OR EDUCATION
Undergraduate degree or Technical Certificate and/or
2+ years of relevant experience from a business administration, statistical, mathematical, scientific or financial background
Python, Azure Databricks
Excellent Analytical and Communication skills.
Who We Are:
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than
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