Job Description: Responsibilities: - 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). - 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: - 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. Education: - 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.