Senior Data Governance Consultant

RaiseCalgary, Edmonton, Alberta

1 day ago

Job type

Temporary

Job description

Job Description

Raise is hiring a Senior Data Governance Consultant for Our Client, a market leading financial institution. This position is a six (6)-month contract located in Calgary, Alberta. We are actively seeking talented professionals like you to drive these crucial initiatives forward.

Description

The Senior Data Governance Consultant will provide Capital Markets Expertise : Leveraging your capital markets knowledge to provide pragmatic and actionable guidance on data governance policies and practices specific to this domain especially in managing Materials Non-Public Information (MNPI).

Project Description : Establishing and maturing data governance framework, ensuring data quality, compliance, and security across the organization. Your deep understanding of financial services and privacy regulations (e.g. BCBS 239, CCAR, GDPR, PIPA), coupled with your expertise in data governance tools and methodologies, will be instrumental in driving data-driven decision-making and business growth.

Role Accountabilities :

Develop and Maintain Data Governance Framework : Lead the design, implementation, and ongoing evolution of a comprehensive data governance framework, including policies, standards, procedures, and metrics.
Develop and maintain an Enterprise Data Model : Lead the development and ongoing maintenance of a comprehensive enterprise data model, aligning it with business needs and regulatory requirements within the financial services sector.
Align Data Governance Architecture : Ensure alignment of data governance architecture with the overall enterprise architecture to meet data quality, security, and compliance objectives.
Establish Data Governance Processes : Define and implement key data governance processes, including data quality management, metadata management, data lineage, and data access control.
Cross Functional Collaboration with Stakeholders : Work closely with business stakeholders, data stewards, data owners, risk managers (Lines of Defense), and IT teams to ensure alignment and adoption of data governance principles.
Facilitate Senior Leadership Engagement : Confidently interact with and influence senior leadership, effectively communicating data governance principles, strategies, and key progress indicators.
Drive Data Governance Implementation : Develop and implement data governance policies, procedures, and standards, ensuring alignment with industry best practices and regulatory obligations (e.g., BCBS 239, CCAR, etc.).
Oversee CRM Implementations : Provide data governance guidance and oversight for large-scale CRM implementations and deployments, ensuring data quality and compliance throughout the process with familiarity with Salesforce, SAP, and Google integration.
Champion Data Governance Solutions : Utilize your expertise with leading data governance and content management solutions like Collibra, Box, and Google to establish effective data governance processes and workflows driving process efficiency and compliance.
Ensure Regulatory Compliance : Stay abreast of evolving data regulations within the financial services and privacy industry (such as open banking, and bill C-27) and ensure organizational compliance.
Contribute to Data Architecture : Collaborate with data architects to align data governance principles with the overall data architecture strategy.
Conduct Business / Process Analysis : Analyze and document business processes and data flows to identify data governance requirements and opportunities for improvement.
Promote Data Literacy : Develop and deliver training programs to enhance data literacy and awareness of data governance principles across the organization.

Qualifications :

Bachelor's degree in a relevant field (e.g., Computer Science, Information Management, Finance).

Relevant data governance certifications (e.g., CDMP, CGEIT) are highly desirable.

Extensive Experience : Demonstrated success as a Data Governance Consultant in financial services, with a strong focus on compliance and regulatory adherence.

Strong Understanding : Deep knowledge of capital markets and financial services operations, regulations, and data management challenges.

CRM Expertise : Hands-on experience with large-scale CRM implementations and deployments, including data migration, integration, and governance.

Tool Proficiency : Expertise in data governance and content management solutions such as Collibra and Box.

Regulatory Knowledge : Familiarity with relevant financial services and privacy regulations (e.g., GDPR, PIPA, CCPA, GLBA) and their impact on data governance.

Data Architecture Skills : Solid understanding of data architecture principles and best practices.

Business Analysis Acumen : Ability to analyze business processes, identify data requirements, and translate them into data governance solutions.

Excellent Communication : Strong written and verbal communication skills, with the ability to effectively communicate complex data governance concepts to both technical and non-technical audiences.

Leadership and Facilitation : Proven ability to facilitate discussions and influence senior stakeholders.

Top Skills :

1. Provide Capital Markets Expertise : Leverage your capital markets knowledge to provide pragmatic and actionable guidance on data governance policies and practices specific to this domain especially in managing Materials Non-Public Information (MNPI).

2.Develop and Maintain Data Governance Framework : Lead the design, implementation, and ongoing evolution of a comprehensive data governance framework, including policies, standards, procedures, and metrics.

3. Develop and maintain an Enterprise Data Model : Lead the development and ongoing maintenance of a comprehensive enterprise data model, aligning it with business needs and regulatory requirements within the financial services sector.

4. Align Data Governance Architecture : Ensure alignment of data governance architecture with the overall enterprise architecture to meet data quality, security, and compliance objectives.

5. Establish Data Governance Processes : Define and implement key data governance processes, including data quality management, metadata management, data lineage, and data access control.