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.
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