Director Data Management

Director, Data Management Overview We are seeking a strategic and hands-on Director of Data Management to lead our enterprise data warehousing, data governance, and AI-enabled data initiatives. This leader will drive the design, development, optimization, and governance of enterprise data platforms while managing a high-performing data engineering team. The ideal candidate brings deep expertise in AWS Redshift, Informatica IDMC, enterprise data warehousing, data governance, and modern cloud data architectures. This role requires a proven leader who can drive initiatives, influence stakeholders, and align data strategy with business objectives, regulatory requirements, and emerging AI capabilities. Key Responsibilities • Lead enterprise data warehouse strategy, architecture, and modernization initiatives. • Design, build, and optimize scalable data solutions leveraging AWS Redshift and Informatica IDMC. • Oversee Operational Data Stores (ODS), Enterprise Data Warehouse (EDW), data lakes, data marts, and metadata repositories. • Drive development of high-performance ETL/ELT pipelines supporting batch and real-time data processing. • Establish and lead enterprise data governance programs, including data quality, lineage, cataloging, metadata management, and stewardship. • Ensure data platforms meet performance, scalability, security, and compliance requirements. • Partner with Technology, Product, Risk, Compliance, and Security teams to support regulatory and business objectives. • Lead AI-driven data initiatives, including data classification, governance automation, and responsible AI practices. • Define enterprise data security standards in partnership with Information Security leadership. • Mentor and develop data engineering teams while promoting engineering excellence and operational discipline. • Manage vendor relationships, technology evaluations, and strategic roadmap planning. Required Qualifications • 10+ years of experience in data warehousing, data engineering, or enterprise analytics platforms. • 5+ years of leadership experience managing enterprise data teams. • Strong hands-on experience with: • AWS Redshift • Informatica IDMC • Cloud-based ETL/ELT architectures • SQL performance tuning and optimization • Data modeling, data lineage, and metadata management • Data quality and governance frameworks • Experience implementing enterprise data governance programs. • Strong knowledge of data security, compliance, and regulatory requirements. • Python scripting experience. • Experience with CI/CD pipelines and modern data engineering practices. • Excellent communication, executive presence, and stakeholder management skills. • Demonstrated ability to lead strategic initiatives and drive organizational change. • AI literacy and the ability to effectively leverage AI tools and technologies. • Financial services or fintech industry experience. • Experience with AWS and Azure cloud platforms. • Knowledge of regulatory frameworks such as SOC 2, PCI DSS, BSA/AML, or similar compliance standards. • Cloud or data engineering certifications. Education Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field; Master’s degree preferred.