Architect II - Data Lineage & Data Technology Governance
JPMorganChase · Newark, DE · 2 wk ago
On-siteArt & CreativeFull-time
Job Responsibilities
- Provide subject matter expertise for data-related technology control procedures, including (but not limited to) data retention and destruction, technical data quality, data use, and data description and authority controls
- Applies enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and design (e.g., option evaluation, trade-offs, and documentation), validating outputs and handling data according to sensitivity and security requirements
- Supports Application Owners and Information Owners in adopting and evidencing data-related technology control procedures
- Maintains a knowledge base for data-related technology control procedures, including best practices, standards, guidelines, and training materials
- Contributes to continuous improvement by incorporating feedback, incidents, and regulatory/audit themes
- Proactively identifies and analyzes hidden problems and patterns in data, using these insights to drive process improvements
- Contributes to CIB tooling requirements, including proposing new features to increase the efficiency and effectiveness of controls
- Collaborates effectively within a team environment, managing changing and competing priorities
Required Qualifications, Capabilities, And Skills
- Formal training or certification on architecture concepts and 2+ years of applied experience
- Applied experience in data governance, data management, or data controls within financial services
- Working knowledge of data risk management, data lineage, and data quality controls
- Strong communication and stakeholder engagement skills, with the ability to work with business and technology teams, including application owners, data architects, and information owners
- Ability to collaborate across diverse stakeholders and drive outcomes
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Preferred Qualifications, Capabilities, And Skills
- Familiarity with data management and architecture frameworks such as DAMA, TOGAF
- Experience with data management tools, technologies, and governance model
- Understanding of controls and risk management concepts, with the ability to evaluate policies, procedures, and process flows
- Knowledge of financial regulations such as GDPR, BCBS, PRA, and other relevant standards
- Exposure to SDLC/change management processes
- Experience in Financial Services, including markets, securities services, payments