[Hiring] Director of Business Intelligence and Data Engineering @The Lisinski Law Firm

Role Description

Lisinski Law Firm is seeking a visionary and hands-on Director of Business Intelligence & Data Engineering to transform how data is managed, governed, and leveraged across the organization. This is not a maintenance role—it is a true build-and-lead opportunity.

As Director of Business Intelligence & Data Engineering, you will:

• Design and implement a modern data warehouse or data lakehouse architecture from the ground up.
• Evaluate and select the best-fit technologies, platforms, and tools based on organizational needs—not vendor preference.
• Build scalable data pipelines that connect critical business systems including Salesforce/Litify, telephony platforms, financial applications, HR systems, and third-party SaaS solutions.
• Establish automated, repeatable ETL/ELT processes that improve efficiency, reliability, and scalability.
• Create and implement a comprehensive data governance framework, including KPI definitions, metric standards, data dictionaries, and ownership models.
• Establish data quality standards and processes that identify, measure, and remediate data integrity issues across the organization.
• Drive consistency and trust in reporting by creating a single source of truth for business metrics and operational reporting.
• Design and deliver executive dashboards and operational reporting that drive decisions—not just display information.
• Partner with business leaders to translate strategic questions into meaningful metrics, analytics, and reporting solutions.
• Lead a combined Business Intelligence and Data Engineering organization.
• Hire, mentor, and develop technical talent while fostering a culture of accountability, innovation, and continuous improvement.
• Collaborate with executive leadership, department leaders, and technology stakeholders to align data strategy with firm objectives.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, Statistics, or a related field.
• 10–15 years of progressive experience in Data Engineering, Business Intelligence, Analytics, or related disciplines.
• 7+ years of leadership experience managing technical teams and driving large-scale data initiatives.
• Proven experience designing and building a data warehouse or data lakehouse—not simply managing an existing environment.
• Strong expertise in SQL and at least one data engineering programming language (Python preferred).
• Experience with cloud-based data platforms such as Azure, AWS, GCP, Snowflake, Databricks, or comparable technologies.
• Strong understanding of data governance, data quality management, metadata management, and enterprise reporting.
• Exceptional ability to communicate complex technical concepts to executive and non-technical audiences.

Requirements

• Master's degree in a related technical field (preferred).
• Experience integrating data across CRM platforms (Salesforce preferred), financial systems, HRIS, telephony systems, and SaaS applications.
• Experience in high-growth, operationally complex organizations.
• Legal industry experience is a plus, but not required.
• Experience building data organizations and processes in environments where data infrastructure was previously immature or fragmented.

Benefits

• 401(k) with company match
• Medical, Dental, and Vision Insurance
• Health Savings Account (HSA) and Flexible Spending Account (FSA) options
• Dependent Care FSA
• Basic Life Insurance
• Voluntary Life and AD&D Insurance
• Short- and Long-Term Disability Insurance
• Voluntary Accident Insurance
• Voluntary Hospital Indemnity Insurance
• Employee Assistance Program (EAP)
• Calm App Subscription