Sr. Manager, BI & Analytics

A Day in the Life

You will play a pivotal role in transforming data into actionable insights that drive business performance across the organization.

Responsibilities

• Own and execute the BI and analytics roadmap, delivering dashboards, reporting, and data products that drive operational and executive decision-making.
• Partner with business leaders to translate complex challenges into actionable analytics, scalable data solutions, and measurable outcomes.
• Lead, coach, and develop a high-performing team of BI, data engineering, and data architecture professionals in a player-coach environment.
• Establish and enforce standards for data visualization, semantic modeling, reporting, governance, and platform performance.
• Prioritize competing business needs, manage stakeholder expectations, and ensure on-time delivery of high-value analytics initiatives.
• Drive enterprise adoption of BI capabilities through training, self-service enablement, documentation, and change management.
• Champion a single source of truth through certified datasets, consistent metrics, data quality standards, and reporting SLAs.
• Partner with Data & AI leaders to advance modern data platform capabilities, including Databricks, Lakehouse architecture, and enterprise reporting solutions.
• Leverage AI-enabled analytics, natural language querying, and emerging technologies to accelerate insights and enhance decision-making.
• Evaluate and recommend innovative data, AI, and reporting technologies that support long-term business strategy and growth.
• Ensure strong governance, security, and responsible use of data products that support both analytics and enterprise AI initiatives.
• Lead workforce planning, hiring, performance management, succession planning, and employee development for a team of senior practitioners.
• Manage BI platform investments, reporting service levels, and incident response processes that support critical business operations.
• Deliver innovative, cross-functional data and analytics initiatives across the U.S. and Canada in a remote-first environment.

Experience & Education

• 7+ years of experience in Business Intelligence, Analytics, Data Engineering, or Data Platform roles.
• 2+ years of experience leading, mentoring, or developing technical teams.
• Strong hands-on experience with Databricks or similar Lakehouse platforms, advanced SQL, dimensional data modeling, and modern data architecture practices.
• Proven success partnering with stakeholders to gather requirements, manage roadmaps, and deliver analytics solutions for senior leadership.
• Bachelor's degree in computer science, Engineering, quantitative discipline, or equivalent combination of education and experience.
• Preferred Experience: Experience supporting AI-enabled analytics, LLM-based applications, MLflow, or data products consumed by AI assistants and agents.
• Familiarity with Microsoft Fabric, Data Vault modeling, dbt, and modern data orchestration technologies.
• Experience working in multi-site, operationally complex industries such as restoration, construction, field services, manufacturing, distribution, or related sectors.
• Knowledge of enterprise systems integration, including Salesforce, NetSuite, or comparable business platforms.
• Consulting or client-facing delivery experience with a strong focus on stakeholder engagement and solution adoption.
• Passion for leveraging emerging technologies to improve business outcomes and drive data-informed decision-making.