Data Integration & Reporting Officer

Principal Objective

The Data Integration & Reporting Officer is responsible for enterprise data integration, data standardization, and trusted analytics capabilities across the organization.

Key Accountabilities

• Enterprise Data Integration, Standardization & Quality
  • Lead integration and standardization of data from multiple source systems into the enterprise data platform, including Snowflake.
  • Direct onboarding of historical and legacy data sources, including Jack Henry / jhaKnow, into governed reporting environments.
  • Oversee resolution of data variances impacting management reporting, operational reporting, or analytics.
  • Promote consistent, trusted, and scalable data assets across the organization.
• Data Transformation & Reporting Architecture
  • Lead design and governance of SQL views, curated datasets, and reporting structures that convert raw data into usable business information.
  • Ensure reporting structures align to key business dimensions such as region, officer, product, department, relationship, and customer.
  • Improve consistency, usability, and performance of enterprise reporting assets.
  • Define standards for approved and controlled reporting datasets.
• Data Conversion & Strategic Change Initiatives
  • Lead conversion of critical data elements from legacy Jack Henry / jhaKnow structures into FIS reporting and enterprise data structures.
  • Oversee mapping, transformation, and reconciliation of data between Jack Henry, FIS, and enterprise reporting platforms.
  • Identify and resolve inconsistencies affecting trend analysis, management reporting, or strategic decision-making.
• AI & Advanced Analytics Data Foundation
  • Establish and strengthen the trusted data foundation required for AI, machine learning, and advanced analytics use cases.
  • Ensure availability of clean, governed, and well-documented datasets for model development, experimentation, and future intelligent solutions.
  • Improve traceability, consistency, and reliability of data supporting advanced analytics initiatives.
  • Partner with analytics and technology teams to enable scalable AI readiness.
• Governance, Controls & Leadership
  • Maintain governance standards for data mapping, transformation, and validation.
  • Support data governance, lineage, transparency, and audit readiness requirements.
  • Promote use of approved, controlled, and standardized reporting source across the enterprise.

Education

Bachelor’s degree in a relevant field; advanced degree preferred.

Experience

• 5–7+ years of experience in enterprise data integration, reporting, analytics, or data warehousing environments.
• Strong experience with SQL Server, SQL development, relational databases, and enterprise reporting environments.
• Experience with enterprise data platforms such as Snowflake or similar cloud-based data warehouse technologies preferred.
• Experience integrating data from multiple source systems, including banking, loan, deposit, customer, or financial reporting platforms preferred.
• Experience with Jack Henry / jhaKnow, FIS, or similar banking and reporting platforms preferred.
• Experience working with data quality, reconciliation, validation, and standardized reporting processes.

Skills & Knowledge

• Strong background in data integration, reporting architecture, reconciliation, and data quality management.
• Proven ability to lead enterprise initiatives and cross-functional delivery.
• Strong communication, leadership, problem-solving, and organizational skills.