Manager - Business Intelligence

SOCAN is a not-for-profit copyright collective dedicated to ensuring music creators and publishers receive what they have rightfully earned for the use of their work. We support and represent nearly 200,000 songwriters, composers, and music publishers through licensing, global royalty collection, and advocacy to help creators continue making music that entertains, moves, and inspires us.

Manager, Business Intelligence
Toronto / Montreal
Permanent Full-Time
$101,360 to $126,700
Hybrid work model
English required;
French is an asset.

The Manager, Business Intelligence leads SOCAN’s analytics function, overseeing data analysts and engineers, and ensures the delivery of scalable, high‑quality data and reporting solutions. The role aligns data initiatives to business priorities, guiding the organization to reliably leverage data for operational and strategic decision‑making. It balances technical leadership with people management, delivery oversight, and platform governance.

• Define and execute the enterprise analytics and reporting strategy, aligning initiatives with organizational priorities.
• Lead and develop a multidisciplinary team of Data Analysts and Data Engineers, including performance management, coaching, and career development.
• Establish team structure, operating model, and delivery standards to scale analytics capabilities across the organization.
• Act as the senior analytics leader and advocate for data‑driven decision‑making across business units.
• Oversee end‑to‑end delivery of analytics, reporting, and data engineering initiatives, ensuring alignment to business outcomes, quality standards, and timelines.
• Manage team capacity, prioritization, and resource allocation across projects and operational support.
• Ensure consistent delivery of executive‑ready reporting, dashboards, and data products that support key business decisions.
• Resolve escalated issues related to data, reporting, or platform performance.
• Oversee the design, implementation, and ongoing optimization of SOCAN’s data analytics platform, focusing on Databricks and Azure‑based solutions.
• Ensure the data ecosystem is scalable, secure, and performant, supporting analytics, reporting, and future AI use cases.
• Direct the Data Engineering team to manage data pipelines, integration workflows, and transformation processes.
• Drive adoption of modern data practices, including automation, continuous integration/delivery, and reproducible analytics workflows.
• Define and enforce enterprise data governance, quality standards, and validation frameworks to ensure data integrity and trust.
• Establish consistent KPI definitions and data models across the organization.
• Ensure compliance with data management standards and best practices.
• Implement monitoring frameworks to proactively identify and resolve data issues.
• Partner with senior leaders to understand business priorities and translate them into data and analytics solutions.
• Drive alignment across business, analytics, and engineering teams to deliver integrated outcomes.
• Present insights, recommendations, and progress updates to executive stakeholders.
• Identify and prioritize opportunities where data can drive measurable business impact.
• Drive adoption of self‑serve analytics and scalable reporting capabilities across the organization.
• Promote best practices for analytics development, documentation, and knowledge sharing.
• Evaluate and introduce new tools, technologies, and approaches to enhance analytics capabilities.
• Foster a culture of continuous improvement, innovation, and data literacy.

• 7+ years of experience in data analytics, business intelligence, or data engineering, with demonstrated leadership of analytics functions or teams.
• 2+ years of people management experience, including leading cross‑functional data teams (analysts and engineers).
• Advanced proficiency in SQL and strong working knowledge of Python, with experience in distributed compute environments such as Spark.
• Proven experience working with modern cloud data platforms, particularly Databricks and Azure‑based data architectures.
• Strong understanding of data modeling, ETL/ELT…