Job Summary:
As a Senior Associate Data Owner in Branch Operations and Deposits, you will play a crucial role in promoting our firm's innovation by ensuring our data is well-documented, high-quality, and secure. You will oversee all data created, provisioned, or consumed in our business applications, supporting business objectives, advanced analytics, operations, and reporting. Collaborating with technology and business partners, you will ensure data is delivered in line with our quality and safety standards. Additionally, you will execute processes to identify, monitor, and mitigate data risks throughout the data life cycle, in compliance with our firm-wide policies and standards.
Job Responsibilities
- Develop operational procedures for developing and delivering data in support of business operation, strategic objective and advance analytics goals.
- Leverage subject matter expertise and key partnerships to define metadata and classifiers of data critical to their business area
- Define and document data requirements of key stakeholders to ensure understanding of data and its use across business and functions
- Partner with technology and business resources to ensure content and quality standards of data in their business area meet established requirements
- Execute processes and procedures in the product management lifecycle. Identify, monitor, and mitigate risks across the application and data lifecycle in their business area, such as risks related to protection, retention and destruction, storage, use, and quality
- Partner with technology and business resources to investigate root causes of data issues and provided recommendations for remediation.
Required Qualifications, capabilities, and skills :
- 6+ years of industry experience in a data-related field.
- Subject matter expertise in business or product data or processes.
- Proven ability to execute via internal partnerships.
- Strong interpersonal and communication skills.
- Analytical thinking and problem-solving skills.
- Structured thinker with good business acumen.
- Bachelor’s degree required.
Preferred Qualifications, capabilities, and skills :
- Domain Learning
- Strong interpersonal & communication skills
- Knowledge of query or analytical programming languages
- Analytical thinking and problem-solving skills
- Knowledge of cloud-based technologies
- Knowledge of ETL principles or data structures
- Knowledge of product lifecycle / area product management
- Technical knowledge of data management and governance, big data platforms, or data architecture preferred.