Data Designer II Job Toronto area,Ontario Canada,IT/Tech

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…


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