Assistant Executive Director - Business Intelligence

About the role

The Assistant Director of Business Intelligence leads the BI team in turning data into actionable insights that drive business decisions. The role oversees the development, implementation and maintenance of data analytics strategies, ensures data integrity and security, and delivers comprehensive BI solutions and reports. It suits someone with a background in business technology, cyber security, healthcare informatics, strategic planning, machine learning, cloud infrastructure and executive leadership.

Key responsibilities

• Develop and execute the BI strategy aligned with the Ambulance Service's and HMC's goals, and lead, mentor and manage a team of BI analysts and data scientists.
• Collaborate with senior management to turn business needs into data-driven solutions.
• Maintain internal and external data feeds so they load reliably into local databases, and oversee data collection, storage and analysis for security, accuracy and integrity.
• Implement and maintain BI tools, data models, dashboards, predictions and KPIs, and enforce data security and access controls.
• Deliver timely reports and dashboards, provide actionable insights, automate key reports and monitor KPIs.
• Work with IT, marketing, finance and operations, explain complex findings to non-technical stakeholders and promote a data-driven culture.

Required profile

• Master's degree in Business, Data Science, Computer Science or a related field.
• At least 8 years in a senior BI or data analytics role, ideally within an Ambulance Service, with a track record of leading BI initiatives.
• Healthcare experience is mandatory.
• Strong leadership, communication and problem-solving skills; able to handle multiple priorities in a fast-paced environment.

Required skills

• Data analysis and visualization with Tableau and Power BI; SQL, including ETL and SSIS packages.
• Machine learning and predictive analytics, and familiarity with big data technologies and cloud platforms such as AWS, Azure or Google Cloud.
• Programming in SQL, Python, R or similar.