[Hiring] Director Data Services @Lexipol

Role Description

The Director of Data Services sits within the Internal Technology organization and reports to the VP of Internal Technology. This role carries a unique dual mandate: delivering data infrastructure, governance, and analytics capabilities that serve both internal business operations and Lexipol's customer-facing products.

• On the internal side, the Director ensures the data platforms and pipelines that power revenue, finance, marketing, and operations are scalable, well-governed, and delivering measurable business value.
• On the product side, the Director and their team are active participants in the software development lifecycle — partnering with Solutions Management and Engineering to deliver data-driven features, reporting capabilities, and customer-facing analytics as part of the product roadmap.
• This leader manages a team of approximately 6–10 data professionals who operate in an agile, sprint-based model — balancing ongoing internal data services with product roadmap commitments.
• The role ensures Lexipol is maximizing the value of its data assets by driving strong data quality, platform optimization, and thoughtful lifecycle management across all data systems and services.
• The Director partners closely with executive leadership, Solutions Management (Product Management), Engineering, Revenue, Finance, IT, and external vendors to ensure Lexipol's data platforms support operational excellence, product innovation, and strong governance.

Qualifications

• Bachelor's degree in Information Systems, Computer Science, Data Science, Business Analytics, or a related field (or equivalent experience).
• Extensive experience leading enterprise data platforms, analytics, or data engineering functions in a complex organization.
• Strong understanding of modern data stack components, including data warehousing, ETL/ELT pipelines, and BI reporting tools.
• Experience working within agile or sprint-based delivery models, ideally in organizations where data functions contribute directly to product development.
• Experience leading data initiatives through periods of growth, change, or acquisition.
• Experience overseeing compliance or audit processes such as SOC 2 as it relates to data systems and controls.
• Experience operating within SaaS or subscription-based business models and supporting the data systems that enable revenue lifecycle management.
• Experience managing complex data ecosystems with numerous integrations across CRM, ERP, marketing, support, and analytics platforms.
• Experience establishing data governance and lifecycle management practices, including data quality standards, master data management, and platform rationalization.

Requirements

• Deep experience designing and governing data lake and warehouse environments (ideally on AWS and Redshift) with AI ingestion and consumption in mind.
• Ownership of enterprise data platforms, including data lakes, data warehousing, pipeline development, and analytics infrastructure serving both internal and external stakeholders.
• 10+ years experience leading data teams that operate within or alongside software development lifecycles, including agile and sprint-based delivery models.
• Proven ability to partner with Product Management and Engineering to deliver customer-facing data and reporting capabilities as part of a product roadmap.
• Strong strategic and operational leadership with the ability to translate business and product needs into scalable data solutions.
• Proven success establishing data governance frameworks and driving data quality improvements across complex organizations.
• Experience building and delivering analytics and BI capabilities (ideally on PowerBI) that support both executive decision-making and customer-facing reporting.
• Ability to lead complex cross-functional initiatives and influence senior stakeholders across both business and technology organizations.
• Proven experience leading large-scale data platform implementations, migrations, or transformations that impact multiple departments and core business operations.
• Experience evaluating, implementing, or governing AI-enabled capabilities within enterprise data ecosystems.
• Demonstrated ability to use AI tools in the development and delivery of data products.
• Strong familiarity with modern AI productivity tools and a demonstrated ability to incorporate them into leadership, analysis, and operational workflows.

Benefits

• Competitive base salary of $160,000 plus an annual performance-based bonus.
• Comprehensive benefits package including 401(k) with Company match and a flexible paid time off plan.