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Data Designer II

TD

Canada

On-site

CAD 76,000 - 116,000

Full time

Today
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Job summary

A leading financial institution is seeking an experienced Data Solutions Specialist in Toronto, Ontario. The role involves providing expert guidance in data impact assessments, collaborating with stakeholders, and ensuring data governance aligns with enterprise standards. Candidates should hold an undergraduate degree or technical certificate and possess over 3 years of relevant experience, particularly in data analysis and business administration. This position offers a competitive salary ranging from $76,800 to $115,200 CAD annually.

Qualifications

  • 3+ years of experience in business administration, statistical or related fields.
  • Expert knowledge in data management and governance.
  • Strong background in collaborating with technical teams.

Responsibilities

  • Provide expert guidance and support for data impact assessments.
  • Collaborate with stakeholders to ensure successful delivery of data solutions.
  • Conduct thorough investigations into data issues.

Skills

Data analysis
Communication
Problem-solving
Technical design reviews
Data governance

Education

Undergraduate degree or Technical Certificate

Tools

Data profiling tools
Visualization tools
Job description
Work Location

Toronto, Ontario, Canada

Hours

37.5

Line of Business

Technology Solutions

Pay Details

$76,800 - $115,200 CAD

Job Description
Customer
  • Provide expert guidance within projects and other various change initiatives to support data impact assessments and data risk mitigation
  • Implement processes aligned to data information management standards and ensure data quality (e.g., rules / thresholds / assessments, etc.) and requirements are developed
  • Develop and maintain knowledge of available data from upstream sources and various platforms
  • Identify critical data / critical data elements to support Business Segment data governance and/or data management frameworks / programs
  • Ensure business data and information is retained and disposed in compliance with enterprise data standards, policies and guidelines
  • Perform data profiling using TD tooling and ad hoc system query languages to validate data prototyping solutions
  • Provide support throughout data lifecycle to resolve data issues and support user community by helping users interpret the data
  • Lead the investigation of root causes for data issues and ensure data issues are resolved while developing the prototyping solution
  • Identify and/or define knowledge transfer and data expertise activities to support business teams using the information management solutions.
  • Adhere to enterprise frameworks or methodologies that relate to data activities for business area
  • Ensure business operations follow applicable internal and external requirements (e.g. financial controls, segregation of duties, transaction approvals and physical control of assets)
  • Collaborate with business partners/ stakeholders to ensure project success
  • Collaborate on business requirements by researching / analyzing and documenting business data requirements
  • Participate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations
  • Conduct meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices
  • Keep updated on emerging issues, trends, and evolving regulatory requirements and assess potential impacts
  • Promote 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 guide successful delivery of data solutions.
  • Facilitate data analysis and investigations for business users and QA teams, assisting with complex issues and validating business cases during development and testing phases
  • Provide oversight 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 an oversight of ensuring smooth integration of data into source code repositories and promoting effective source code management practices.
  • Lead or participate in 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.
  • Lead initiatives on data governance and data management by ensuring 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 and promote 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 effectively across teams.
  • Safeguard the organization's interests, identifying and managing business risks, while ensuring compliance with internal policies and regulatory guidelines.
  • Stay current on industry trends, expanding knowledge of business processes, data tools, and best practices to improve collaboration between business and technology teams.
  • Enable cross-functional collaboration, sharing knowledge and best practices between business users and technology teams to enhance overall project success.
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
  • Provide thought leadership and/ or industry knowledge for own area of 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 team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.
  • Lead, motivate and develop relationships with internal and external business partners / stakeholders to develop productive working relationships.
  • 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
  • Expert level professional role, considered subject matter expert with in-depth knowledge / expertise in own domain / field of specialty and working knowledge of broader related areas
  • Requires expert level conceptual and practical knowledge for own area of specialty and knowledge of broader related areas
  • Advanced analytical and problem-solving skills and fluent in one or two programming language
  • Works autonomously on a range of tasks and may be relied upon to coach / educate others
  • Lead projects of moderately to complex risk and resource requirements; may lead end-to-end processes or functional programs
  • In-depth experience working with very large datasets and familiarity with big data technologies
  • 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
  • 3+ years of relevant experience from a business administration, statistical, mathematical, scientific or financial background
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