Lead Data Management Analyst

Lead Data Management Analyst

Requirements

• 5+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Responsibilities

• Support the efforts related to managing the enterprise data management and data defect processes for the Corporate Risk Domain.
• Meet with representatives from across the Risk Management organization to collect and enter data management artifacts, data defects, as well as coordinate and driving remediation efforts.
• Act in a leadership role on the team to document and review data management artifacts and data defect documentation to support various audiences including DMI, senior management, audit, etc.
• Partner with a diverse team in various locations across the US and India to manage the data defect management process for Corporate Risk.
• Design and manage reporting to various audiences.
• Delegate work to more junior team members in an advisory capacity. Monitor capacity and workloads to ensure all deadlines are met.
• Work in a fast-paced environment with changing deliverables to meet deadlines.
• Act as an advisor to leadership to develop or influence objectives, plans, specifications, resources, and long-term goals for highly complex business and technical needs.
• Lead the strategy and resolution of highly complex and unique challenges requiring in depth evaluation across multiple areas or the enterprise, delivering solutions that are long term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking.
• Evaluate data quality metrics and data quality audits to benchmark the state of data quality.
• Provide vision, direction, and expertise to senior leadership on implementing innovative and significant business solutions.
• Recommend remediation of process or control gaps that align to management strategy.

Preferred Qualifications

• Big 4 Accounting Experience.
• Advanced use of MS Excel and PowerPoint.
• Experience with root cause analysis (RCA) and issues Management.
• Knowledge of risk and regulatory reporting.
• Experience with financial reporting controls and performing complex data analysis.
• Experience communicating and presenting complex information to multiple levels of the organization.
• Knowledge and understanding of financial industry, associated regulatory standards and agencies.
• Ability to identify risk factors and ensure enactment of appropriate controls.
• Ability to take initiative and work independently with minimal supervision in a structured environment.
• Subject matter expertise on data governance, data information modeling, and data aggregation controls.
• Professional certifications are a plus.
• Deep knowledge and understanding of data integrity management practices and procedures.