Data Quality Transformation Lead-Vice President
| Company | JP Morgan Chase |
|---|---|
| Location | New York, NY, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior, Expert or higher |
Requirements
- Strong understanding of data management principles, data quality tools, and technologies
- Consultative partner-focused approach to successfully influence and drive change across the organization
- Extensive experience in designing and implementing strategies and frameworks within the financial services industry
- Proficient at managing large-scale projects and initiatives, with the ability to prioritize and manage multiple tasks effectively
- Robust communication and presentation skills, with the ability to convey complex concepts to diverse audiences at varied levels
- Ability to think strategically and translate business needs into actionable data quality initiatives, utilizing strong analytical and problem-solving skills
- Strong interpersonal skills with the ability to build and maintain relationships with stakeholders at all levels
- Familiarity with relevant regulatory requirements and industry standards related to data quality and data governance
- Adept at designing & documenting enterprise policies, standards & procedures to deliver on regulatory requirements
Responsibilities
- Support the design and implementation of a comprehensive data quality strategy aligned with business objectives, industry best practices, and regulatory requirements
- Collaborate with senior leadership to define data quality goals and objectives
- Develop and implement data quality operating models that support efficient and effective data management practices
- Establish and maintain data quality policies, standards, and procedures to ensure data completeness, accuracy, and timeliness
- Monitor compliance with data governance policies and escalate issues as necessary
- Work closely with business units, IT, and other stakeholders to promote data quality awareness and best practices
- Develop metrics and KPIs to measure data quality performance, identify trends and areas for improvement, and report findings to senior management
- Implement controls to prevent data quality issues, identify and mitigate risks, and ensure data is fit-for-purpose
- Lead, mentor, and develop a team of data quality professionals in a way that promotes a culture of excellence, continuous learning, and supports their professional goals
Preferred Qualifications
- Knowledgeable in the critical data management and governance standards defined by the Basel Committee on Banking Supervision (BCBS 239)
- Experience of the Operational Risk & Risk and Control Self-Assessment (RCSA) process
- Previous experience in a data-related business consultancy role would be a plus