Description

• Define and maintain risk management data models, including functional entities and processes, across Resolver and associated applications.
• Develop conceptual, logical, and physical data models.
• Contribute to enterprise data cataloging and metadata management.
• Ensure alignment with Client data standards and architecture principles.
• Support implementation of data governance policies and standards.
• Ensure compliance with security, privacy, and regulatory requirements.
• Define and monitor data quality controls, KPIs, and remediation processes.
• Support data ownership and stewardship practices.
• Design and document data flows between Resolver, Optro, enterprise platforms, and Group data lakes.
• Support API, ETL, and integration initiatives.
• Collaborate with Client Digital teams to ensure sustainable and scalable integrations.
• Participate in architecture reviews and accreditation activities.
• Enable reporting, analytics, and AI use cases through high-quality data foundations.
• Collaborate with business analysts, data engineers, and data scientists.
• Support data availability for governance and risk performance dashboards.
• Maintain architecture documentation, data lineage, metadata, and technical standards.
• Document key design decisions and support architecture governance processes.
• Identify opportunities to modernize data architecture and integration patterns.
• Translate business needs into scalable technical solutions.
• Work closely with Product Owners, Solution Architects, Data Domains, and business stakeholders.
• Facilitate alignment between governance functions and technical teams.

Skills:

• Data modeling (Conceptual, Logical, Physical)
• SQL and relational databases
• Data integration and ETL/ELT concepts (Informatica, Talend)
• API-based integrations
• Cloud data platforms (Snowflake, Databricks, Azure, AWS, or GCP)
• Data governance and metadata management
• SaaS platform integrations
• Data catalog tools
• Data lineage solutions
• Power BI or Tableau
• Knowledge of AI/GenAI data foundations
• Risk Management, GRC, Audit, or Compliance platforms
• Strong problem-solving and analytical mindset
• Ability to translate or align business and data backend requirements
• Ability to work in a complex, cross-functional global environment.
• Effective communication and presentation skills.
• Ability to manage ambiguity and evolving business requirements.
• Strong collaboration and influencing skills.

Education/Experience:

• 3 to 5 years of experience in Data Architecture, Data Engineering, Data Integration, or related disciplines.
• Experience collaborating with both business and technical stakeholders.
• Exposure to data governance, metadata management, or regulatory environments is a plus.
• Experience working with enterprise data ecosystems and SaaS applications

Key Skills

Education

Bachelor's degree