Business Intelligence and Data Management Manager

Business Intelligence and Data Management Manager

SPREAD ENTHUSIASM. SHAPE THE FUTURE.

SHARE YOUR PASSION.

Knowing the destination isn't enough : you need to know how to get there. Build up your own networks, exploit new ideas, consistently take the initiative. Inspire other people with your enthusiasm. That's the only way to give ideas the power that allows them to become true innovations.

The Business Intelligence and Data Management Manager is responsible for :

• Data Strategy : Responsible for the development and delivery of a Business Intelligence (BI) Strategy to enable efficient,accurate, and flexible reporting and analysis.
• Data Strategy : Build and maintain a local centre of competence with regards to a standardized business intelligence and data management process, including training and coaching on BI techniques and tools.
• Data Governance : Drive the local Data Governance framework with a focus on organizational access, proper data usage and approval documentation; alignment with other local and regional standards.
• Data Governance : Responsible for defining and developing guidelines for Data Management and Governance in the business context (roles, standards, etc.) considering the requirements regarding information security and data protection and the overarching DTO‑guidelines towards the Data Transformation Office.
• Data Management : Responsible, as owner of a business object, for the data quality, provision, linking and availability of data in the technical context towards the Data Transformation Office.
• Data Management : Responsible for identifying, prioritizing, and realizing potentials from the data in the technical context toward the Data Transformation Office.
• AI Strategy : Develop and oversee the organization’s AI strategy, establish governance frameworks, and ensure the responsible deployment of AI models in alignment with business objectives.
• Process Innovation : Drive innovation by bringing best practices for AI, automation and data analytics, bring external ideas into the company, driving the departments.
• AI Implementation : Collaborate with cross‑functional teams to identify opportunities for AI‑driven insights and automation and ensure the responsible deployment of AI models, including monitoring for biases, fairness, and transparency.
• Data and Reporting product owner – responsible to develop and implement a process to measure, monitor, control, and enhance data quality.
• Work closely with leaders across the business to support and implement high‑quality, data‑driven decisions
• Use advanced data modeling, predictive modeling and analytical techniques to proactively leverage insights into initiatives that will support business outcomes.
• Lead cross‑functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions.

Key accountabilities of the function.

Qualifications

Additional Skills

Compensation

The compensation range for this role is $77,000 - $116,500, with variations based on factors like experience, education and skills. Experienced candidates are encouraged to apply.

Benefits of working at BMW Group Canada include

At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.

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