Data Governance Strategist
22 hours ago
Data Governance Strategist Role
The anticipated salary range for this position is between $163,000.00 and $260,000.00, based on individual qualifications, experience, and market conditions. The role may also be eligible for an annual discretionary incentive award. In addition to cash compensation, SMBC offers a competitive portfolio of benefits to its employees.
Key Responsibilities
• Develop and execute a data governance strategy that aligns with business objectives.
• Champion data governance and management across the organization, promoting a culture of data governance.
• Lead a data stewardship team to execute data governance, improve operational data quality, and lead data-related projects.
• Provide guidance and ensure best practices are followed for data governance, regulatory requirements, and SMBC Group policies.
• Define, monitor, and maintain the area's data assets, including key data outputs and key data elements.
• Establish data lineage, define and monitor data quality controls, and establish key performance indicators for data quality.
Qualifications and Skills
• Recommended total years of experience: 10 – 15.
• Preferably 5 – 7 years of specialized experience as a data practitioner in Financial Services, preferably in front office related functions.
• Education: BS/BA Required, preferred majors: computer science, information / data / system management; MBA or MS Preferred
• Strong communication (oral and written) and presentation skills.
• Demonstrated ability to lead a team of 5 – 10 directs and indirects
• Strong ability to lead in data governance and data quality issue management, with experience working on key data elements and data lineage establishment.
Additional Requirements
• Strong ability to communicate business ideas and topics to technical and non-technical audiences.
• Ability to influence people outside the immediate span of control, negotiate and resolve conflicts, and work with stakeholders in various departments of the firm.
• Extensive knowledge of banking data systems and cloud data platforms, including SQL, NoSQL, and Azure.
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