Senior Business Intelligence Manager

Company Description

Be part of AIM's growing success.

American Iron and Metals (AIM) is a recognized global leader in the metal recycling industry, with more than 125 locations and 3,500 employees worldwide. We have continued to thrive over the past eight decades (we just celebrated our 86th anniversary!) thanks to the dedication of our employees and the continued trust and support of our customers.

Be part of the AIM team, a growing team that, over the years, has successfully transformed into a multifaceted company whose business divisions include metal recycling (AIM Recycling), construction waste recycling (AIM Eco-Centre), weld assembly manufacturing (AIM Solder), demolition and dismantling (AIM Delsan), and automotive recycling (Kenny U-Pull). We're proud to do good things for the environment to help create a greener, more sustainable future for all.

It's simple: we do it well. We strive for excellence.

Job Description

- Develop and implement a BI strategy aligned with organizational objectives.

- Lead and mentor a team of BI developers, analysts, and data engineers.

- Promote AI adoption and develop a data culture among users.

- Manage resources, timelines, and priorities.

- Oversee the creation of dashboards, reports, and visualizations.

- Develop advanced analytics (predictive, prescriptive, AI, ML).

- Ensure data integrity, consistency, and security.

- Implement and enforce data governance policies.

- Oversee the design and deployment of data warehouses and data lakes.

- Manage the integration of BI systems into IT infrastructure.

- Stay abreast of BI/AI industry trends.

- Work with cross-functional teams to gather requirements. Translate stakeholder needs into BI solutions

- Provide insights to senior management in a clear and actionable manner.

- Define and prioritize data initiatives to maximize value and effectiveness.

- Recommend improvements to optimize the impact of BI solutions.

- Foster a culture of continuous learning and development.

Qualifications

- Bachelor's degree in computer science, IT, administration, or a related field (master's degree an asset)

- 7+ years of experience in BI or analytics, including 3+ in management.

- Hands-on experience in artificial intelligence and machine learning.

- Proficiency in BI tools and Microsoft Azure services (Data Factory, Data Lake, Synapse).

- Skills in Python, DAX, Power Query, or R.

- Strong experience in SQL, modeling, and data warehousing.

- Knowledge of ETL processes and large datasets.

- Good understanding of data governance, security, and quality assurance.

- Communication and problem-solving skills.

- Experience with cloud-based BI solutions (AWS, Azure, Google Cloud).

- Knowledge of advanced AI/ML tools (Asset)

- Experience in manufacturing (Asset).

- Project management experience (Agile, Scrum)