Director, Business Intelligence & Data Strategy

LogicMonitor
Austin, TXPosted 14 April 2026

Job Description

About Us: We love going to work and think you should too. Our team is dedicated to trust, customer obsession, agility, and striving to be better everyday. These values serve as the foundation of our culture, guiding our actions and driving us towards excellence. We foster a culture of performance and recognition, allowing us to transform growth as we enable our employees to do the best work of their careers. This role is open to candidates based in or near Austin, TX. Our Austin office is based in the vibrant San Jacinto Center downtown with breathtaking views of Lady Bird Lake. At LogicMonitor, we hire within our Centers of Energy—vibrant locations where our teams connect, collaborate, and innovate. To learn more about life at LogicMonitor, check out our Careers Page . What You'll Do: LogicMonitor® is the AI-first hybrid observability platform powering the next generation of digital infrastructure. LogicMonitor delivers complete visibility and actionable intelligence across on-premises, cloud, and edge environments. By anticipating issues before they strike, optimizing resources in real time, and enabling faster, smarter decisions, LogicMonitor helps IT and business leaders protect margins, accelerate innovation, and deliver exceptional digital experiences without compromise. Our customers love LogicMonitor's ability to bring cloud and traditional IT together into one view, as seen in minimal churn rates, expansion business, and exciting new customer references. In fact, LogicMonitor has received the highest Net Promoter Score of any IT Infrastructure Management provider. LogicMonitor also boasts high employee satisfaction. We have been certified as a Great Place To Work®, and named one of BuiltIn's Best Places to Work for the seventh year in a row! The Director, Business Intelligence Data Strategy will be responsible for transforming our data organization into a trusted, scalable, and AI-enabled enterprise capability. You will partner closely with executive stakeholders across Product, Finance, GTM, and Operations to deliver measurable business impact while elevating the credibility and effectiveness of the data function. Here's a closer look at this key role: Data Platform Technical Leadership Own and evolve the end-to-end data architecture across Snowflake and Power BI Drive improvements in data modeling, transformation frameworks, semantic layer design, performance, and cost efficiency Establish best practices for data engineering, BI development, and analytics consumption Ensure a scalable, reliable, and high-quality data foundation AI-First Data Analytics Strategy Define and execute an AI-first data strategy aligned with enterprise priorities Enable trusted, governed datasets to support machine learning, predictive analytics, and generative AI use cases Drive adoption of AI-enabled analytics, including automated insights and augmented BI experiences Partner with business and technical leaders to translate AI opportunities into real business value Data Governance Trust Transformation Design and implement a company-wide data governance framework from the ground up, including: Data ownership and stewardship models Data quality standards and SLAs Metadata management and lineage Establish clear accountability mechanisms across business and technical teams Lead initiatives to rebuild enterprise trust in data through transparency, consistency, and measurable improvements Executive Stakeholder Leadership Act as a trusted advisor to senior leaders, influencing decision-making and driving alignment Manage competing priorities across a highly matrixed organization Ensure strong follow-through on commitments, with clear communication and accountability Translate complex data concepts into clear, actionable business insights Organizational Leadership Execution Build and lead a high-performing BI and data organization with a culture of ownership and accountability Drive execution in a fast-paced, am ... (truncated, view full listing at source)
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