Senior Manager, Business Intelligence Analytics (Remote - US)

Octave provides mission-critical software that empowers organizations to make informed decisions across every stage of the asset lifecycle. The Senior Manager, Business Intelligence Analytics will lead the analytics function, develop a high-performing team, establish scalable reporting and governance practices, and deliver analyses and AI-enabled insights that support senior-level business decisions.

Responsibilities:

• Lead, coach, and develop a team of analytics and BI professionals; set priorities, establish clear expectations, and build team capability
• Partner with executives and business leaders to translate strategic questions into actionable analysis, KPIs, dashboards, and recommendations
• Personally lead complex, high-visibility analyses and present clear, decision-ready findings to senior executive stakeholders
• Build and evolve governed reporting practices, including metric definitions, data quality standards, semantic models, documentation, dashboard standards, and certification
• Balance self-service analytics with appropriate controls for data quality, security, consistency, and access
• Guide appropriate use of statistical methods, experimentation, forecasting, segmentation, regression, and machine-learning techniques
• Work closely with data engineering, data science, IT, security, and business teams to improve analytics products and data reliability
• Use AI tools responsibly to improve analytical, coding, documentation, research, and communication workflows, validating outputs and protecting sensitive information
• Identify and deliver AI-enabled analytics solutions, such as conversational BI, natural-language data exploration, intelligent alerting, anomaly detection, forecasting, workflow automation, or insight-generation capabilities

Requirements:

• • Bachelor's degree in a quantitative field (Statistics, Data Science, Computer Science, Economics, Mathematics, Engineering, or related)
• Master's degree preferred
• • Experience building or scaling an enterprise analytics, BI, or decision science organization
• • Familiarity with analytics engineering and data orchestration tools such as dbt, Airflow, Fivetran, or Matillion
• • Hands-on experience with AI/ML solutions, including LLM applications, RAG, predictive modeling, recommendation engines, or workflow automation
• • Experience with enterprise AI platforms such as Azure AI, Snowflake Cortex AI, Google Vertex AI, or OpenAI-compatible services