Director, Business Intelligence and Data Engineering

Lisinski Law Firm is a dedicated humanitarian immigration practice committed to helping individuals and families find safety and stability. They are seeking a visionary Director of Business Intelligence & Data Engineering to transform data management and governance across the organization, building a modern data ecosystem that supports informed decision-making.

Responsibilities:

• 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
• Develop practices that ensure compliance with privacy, security, and regulatory requirements
• 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
• Build proactive analytics capabilities that identify trends, risks, opportunities, and performance drivers before stakeholders ask
• Elevate the organization from reactive reporting to predictive and insight-driven decision-making
• 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
• Establish team goals, roadmaps, and measurable quarterly outcomes aligned with business priorities
• Reduce operational risk by building scalable processes and eliminating single points of failure
• Collaborate with executive leadership, department leaders, and technology stakeholders to align data strategy with firm objectives
• Work closely with the VP of IT/CIO and peer technology leaders to ensure data architecture aligns with broader technology initiatives
• Serve as a trusted advisor who can translate complex technical concepts into clear, business-focused recommendations and insights

Requirements:

• 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
• Master's degree in a related technical field
• 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