Director, Data

Director, Data

Reports to: Chief Technology & Innovation Officer

Supervises: 2 directly, 2 indirectly

• Direct day‑to‑day operations of data platforms, ensuring optimal performance, availability, and scalability.
• Oversee database performance tuning, capacity planning, and system monitoring to meet SLAs and business needs.
• Implement repeatable processes for ETL, data integration, and data quality checks to ensure reliability and consistency.

• Design and maintain modern, cloud‑based data architectures that support analytics, machine learning, and reporting at scale.
• Lead efforts to integrate multiple data sources into a single, trusted, real‑time view of organizational data.
• Collaborate with IT infrastructure teams to ensure system security, disaster recovery, and compliance requirements are met.

• Operationalize data governance frameworks to enforce policies, access controls, and regulatory compliance (NCUA, FFIEC, etc.).
• Ensure all data pipelines maintain accuracy, completeness, and integrity throughout their lifecycle.
• Regularly audit systems for compliance, proactively addressing risks before they escalate.

• Identify opportunities to automate data processes, reduce manual interventions, and improve efficiency.
• Implement monitoring and alerting systems to detect data anomalies, failures, or performance degradation early.
• Continuously refine workflows to reduce downtime, improve throughput, and support business agility.

• Lead, mentor, and develop a high‑performing team of database administrators and BI analysts.
• Set clear operational metrics and hold the team accountable for performance, quality, and incident resolution times.
• Build cross‑functional partnerships with technology and business units to ensure data systems meet enterprise needs.

• Bachelor’s degree in Computer Science, Data Engineering, or a related field;
  Master’s degree preferred.
• 10+ years of experience in data management, operations, and architecture with 5+ years in a technical leadership role.

• Strong hands‑on expertise with cloud data platforms (AWS, Azure, Snowflake), ETL frameworks (Informatica, Alteryx, SSIS), and database technologies (SQL Server, Databricks).
• Hands‑on expertise with SQL Server, Power BI, Tableau, and related data analysis tools and services.
• Proven experience implementing monitoring, logging, and automation systems to improve operational reliability.
• Deep knowledge of data governance, security, and compliance in financial services.
• Excellent problem‑solving, communication, and incident management skills.

• Achieve 99.9%+ uptime for enterprise data systems and infrastructure.
• Reduce data integration errors and improve data pipeline processing speeds.
• Strengthen compliance posture with zero major data‑related infractions or audit findings.
• Deliver faster, more reliable access to data for decision‑making and analytics.

• Own the issue.
• Build confidence that you will help through your words and actions.
• Minimize the team/member’s effort.
• Personalize the experience.
• Show that you care about the person and the issue.
• Adapt to the team/member’s pace, style, and emotional tone.
• Be authentic.
• Be genuine.
• Be present in the conversation to avoid sounding mechanical.
• Understand, then solve.
• Aim for one‑call resolution.
• Address the underlying issue vs. just the request.
• Be crystal clear on next steps.
• Be curious to exceed expectations.
• Pick up on cues and clues indicating other needs.
• Engage in conversation to discuss broader needs.
• Help the member access additional resources, products, and services to gain more value.

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk, hear, and sit. This position requires standing, walking, bending, kneeling, stooping, crouching. The employee may occasionally lift…