Workday Data Architect/ Workday Solution Architect

As a candidate for the role, you will lead the data architecture and strategy for migrating from PeopleSoft Financials to Workday Financials, focusing on insurance sector requirements. Your responsibilities will include: - Designing secure and compliant data pipelines for extracting, transforming, and loading financial data across legacy and cloud environments. - Mapping legacy insurance-related financial data structures (e.g., premiums, claims, reserves) to Workday's Worktag model. - Collaborating with actuarial, finance, compliance, and IT teams to ensure accurate and audit-compliant data flows. - Developing data validation, quality, and reconciliation frameworks to meet NAIC and SOX requirements. - Ensuring secure handling and archival of historical claims and financial data per insurance regulatory guidelines. - Driving data cleansing and enrichment efforts to optimize reporting in Workday Financials. - Documenting technical designs, data dictionaries, and architecture decisions throughout the project lifecycle. Qualifications required for this role include: - Bachelors or Masters degree in Information Systems, Computer Science, Finance, or a related field. - 8+ years of experience in data architecture or enterprise data engineering roles. - Solid experience with PeopleSoft Financials and Workday Financials data models. - At least one full-cycle PeopleSoft to Workday Financials data migration experience. - Hands-on expertise in SQL, ETL tools (e.g., Informatica, Talend, SSIS), and data modeling. - Experience working in or supporting data migrations for insurance understanding of insurance financial processes and regulatory frameworks (e.g., NAIC, SOX, IFRS 17). - Familiarity with Workday data loading tools (EIB, Workday Studio, Core Connectors). - Workday Financials certification (Data Conversion or Financials). - Experience with insurance-specific systems and data (e.g., policy admin, claims, actuarial systems). - Understanding of data governance tools (e.g., Collibra, Alation) and cloud integration platforms (e.g., MuleSoft, Boomi). As a candidate for the role, you will lead the data architecture and strategy for migrating from PeopleSoft Financials to Workday Financials, focusing on insurance sector requirements. Your responsibilities will include: - Designing secure and compliant data pipelines for extracting, transforming, and loading financial data across legacy and cloud environments. - Mapping legacy insurance-related financial data structures (e.g., premiums, claims, reserves) to Workday's Worktag model. - Collaborating with actuarial, finance, compliance, and IT teams to ensure accurate and audit-compliant data flows. - Developing data validation, quality, and reconciliation frameworks to meet NAIC and SOX requirements. - Ensuring secure handling and archival of historical claims and financial data per insurance regulatory guidelines. - Driving data cleansing and enrichment efforts to optimize reporting in Workday Financials. - Documenting technical designs, data dictionaries, and architecture decisions throughout the project lifecycle. Qualifications required for this role include: - Bachelors or Masters degree in Information Systems, Computer Science, Finance, or a related field. - 8+ years of experience in data architecture or enterprise data engineering roles. - Solid experience with PeopleSoft Financials and Workday Financials data models. - At least one full-cycle PeopleSoft to Workday Financials data migration experience. - Hands-on expertise in SQL, ETL tools (e.g., Informatica, Talend, SSIS), and data modeling. - Experience working in or supporting data migrations for insurance understanding of insurance financial processes and regulatory frameworks (e.g., NAIC, SOX, IFRS 17). - Familiarity with Workday data loading tools (EIB, Workday Studio, Core Connectors). - Workday Financials certification (Data Conversion or Financials). - Experience with insurance-specific systems and data (e.g., policy admin, claims, actuarial systems). - Understanding of data governance tools (e.g., Collibra, Alation) and cloud integration platforms (e.g., MuleSoft, Boomi).