Director of Business Intelligence

This is a fully remote position, open to applicants in Ohio.

📋 Description

• Develop and implement a comprehensive enterprise business intelligence (BI) strategy that supports digital transformation objectives, complete with measurable success criteria and an actionable roadmap.

• Lead and mentor a multidisciplinary BI team encompassing data engineering, Power BI development, analytics, and project execution, utilizing consistent standards, coaching, and performance management techniques.

• Collaborate with business and technology leaders to pinpoint high-value analytics opportunities, convert requirements into defined tasks, and promote adoption through effective change management strategies.

• Supervise modern data engineering initiatives within Microsoft Azure, including Azure Data Factory (ADF) and Databricks, to ensure secure, dependable data ingestion, transformation, and orchestration.

• Direct data platform architecture and reusable data product methodologies, such as lakehouse and medallion approaches, to enhance scalability, cost efficiency, and speed to insight.

• Standardize Power BI semantic models, dashboards, reporting templates, and workspace design to facilitate self-service analytics while ensuring performance, governance, and consistency are maintained.

• Manage BI program governance covering intake, prioritization, delivery, vendor coordination, and executive communication, emphasizing measurable outcomes, risk assessment, and return on investment.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field, or equivalent hands-on experience.

• Over 10 years of experience in business intelligence, analytics, or data roles, including at least 5 years in leadership positions or managing enterprise programs.

• Practical expertise in building and operating solutions with ADF, Databricks, Azure SQL technologies, and Microsoft Power BI in live environments.

• Proven experience in designing and managing enterprise data pipelines, data models, and semantic layers that scale across various domains and stakeholder groups.

• Familiarity with data governance and data quality principles, including access controls, stewardship, lineage concepts, and compliance-focused delivery.

• Established ability to manage a BI portfolio, prioritize tasks based on impact, and execute complex initiatives with disciplined execution.

• Excellent communication and stakeholder management skills, including the ability to convey technical subjects into clear decisions, trade-offs, and outcomes.

• Strong judgment, integrity, and a mindset oriented toward continuous improvement, coupled with a practical approach to problem-solving and collaboration.

🏝️ Benefits

• Health insurance

• Retirement plans

• Paid time off

• Flexible work arrangements

• Professional development