Director, Business Intelligence & Data Strategy

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, ambiguous environment, bringing structure and clarity where needed
• Lead cross-functional initiatives from strategy through delivery and measurable outcomes
• Partner with vendors and strategic partners to deliver scalable and secure solutions

What You'll Need:

• 10+ years of experience in data, analytics, or BI leadership, including enterprise-level ownership
• Deep experience with modern data platforms, particularly Snowflake, and BI tools such as Power BI
• Strong understanding of data modeling, transformation, and semantic layer design
• Proven ability to improve data quality, reliability, and performance at scale
• Experience enabling data foundations for AI/ML or advanced analytics use cases, with the ability to connect AI initiatives to tangible business outcomes
• Proven success in transforming or rebuilding data organizations, particularly in environments with low trust
• Strong track record of delivering results in complex, fast-changing environm