Data Quality Assurance Senior Vice President

Data Quality Assurance Senior Vice President

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Job Overview

Data Quality Assurance Senior Vice President (Hybrid)

Technology & Business Enablement (T&BE) empowers Citi to achieve its day-to-day operational and long-term growth goals, enabling execution of Citi's strategy by providing technical solutions and infrastructure across the firm.

T&BE is responsible for the technology and infrastructure colleagues use, defending the firm from cyber-attacks, and processing every loan, transaction, trade, and customer request that comes into the firm.

Within T&BE, the Chief Operating Office (T&BE COO) drives a strong focus on risk and controls, compliance and value across T&BE organization and oversees Controls, Analytics and Decision Management, Quality Assurance, Regulatory Management, Data and Transformation for Technology, as well as Business Execution for our Technology, and Foundational Services functions.

The T&BE Quality Assurance (QA) function sits within T&BE COO organization and is responsible to provide independent and objective assessment on the effectiveness, quality and timeliness of the remediation of high severity issues and Transformation regulatory commitments across T&BE globally.

The Data Quality Assurance Lead will be a key member of the T&BE QA team. This role will report to the T&BE Data Quality Assurance Head. The Data Quality Assurance Lead will be instrumental in establishing and implementing quality assurance processes within the Enterprise Data Office globally.

Key Responsibilities:

• Manage, deliver, and execute the QA mandate and provide oversight to drive consistent and clear QA processes, monitoring, reporting and escalation.
• Maintain common QA standards, procedures and governance processes to create and maintain consistent and best in class QA protocols.
• Review the identified issues, gain agreement on planned actions and provide strategic remediation paths for key issues.
• Support T&BE QA Director (QAD) in fostering a strong partnership across T&BE, 1st line Risk and Controls, 2nd and 3rd line functions to drive accountability to deliver on remediation activities.
• Support T&BE QA Director (QAD) to define and implement future state strategies over Data Quality Assurance activities.

Quality Assurance Processes:

• Proactively support T&BE QA Director (QAD) in identifying and executing strategic decisions and initiatives.
• Design, lead and ensure on-time and quality execution of QA reviews across assigned internal and regulatory issues portfolio in conformance with T&BE QA procedure. Supervise the team to ensure quality and concise QA workpapers and traceability matrix documentation. Ensure QA workflow tool is updated with accurate and complete information.
• Demonstrate expertise of data management, risk and control and in-depth knowledge of the internal and regulatory issue remediation, Consent Order plan and interdependencies with other Issues/Regulatory Commitments.
• Supervise allocated resources and budgeted hours for the assigned portfolio to ensure any potential deviations is addressed and provide timely feedback in QA workflow tool.
• Drive positive change for T&BE to strengthen its risk management and control environment through successful Issue/RBCM remediation.
• Support T&BE QA management to escalate any concerns/observations to relevant senior stakeholders and support them to identify solutions.
• Support T&BE QA Director (QAD) to publish quality and on-time QA status reporting to T&BE leadership.
• Support T&BE QA Director (QAD) to publish quality and on-time QA Clearance/Non-objection memo.
• Support QAD to effectively plan and manage allocated resources and budgeted hours for the portfolio. Act as a mentor/coach to respective team members and provide training to T&BE QA team members as required.
• Drive improvement initiatives to improve the quality and efficiency of the function.
• This is a global role involving interaction with stakeholders across APAC, EMEA and NAM. Work timings accordingly will remain flexible.

Qualifications:

• 10+ years of extensive experience in data management, risk and control, supervision, issues management QA / control and monitoring processes.
• Specific subject matter expertise regarding data solutions including lineage, data tooling, architecture, authoritative data sources etc., data management, data governance, and risk and control disciplines within Data and/or Technology processes.
• Ability to effectively drive and lead change in an organization with Citigroup's size.
• Meaningful knowledge of the risk management framework, including risk identification, risk appetite and strategy, risk-related decisions, processes and controls, risk analytics and governance.
• Experience working horizontally across an organization and participating in enterprise-wide implementations of major policy and relevant risk programs.
• Comprehensive knowledge and understanding of strategic elements of financial, operational, technical, and regulatory environment across the company.
• Experience in regulatory data remediation activities.
• Broad understanding of relevant banking regulation and supervisory expectations for large complex financial institutions.
• Well-developed listening skills and a strong ability to engage at the executive management level by providing proactive support and advice on a variety of risk matters.
• Superior oral and written communication skills, and in particular ability to articulate and influence senior stake holders.
• Strong leadership skills and demonstrated experience with a proven track record in driving positive and sustained change.
• Proven record of effective communication with regulatory bodies and awareness of relevant banking regulation and supervisory expectations.
• Ability to lead by example, strong influential and interpersonal skills, used to deliver results and push the organization agenda in a complex environment.
• Strong ability to engage at the senior management level and demonstrated communication experience at different levels of organization.

Education: Bachelor's/University degree, Master's degree preferred

In-depth subject matter expertise of data and technology processes and risks.

Experience in data remediation activities.