Manager, Support Engineering

As Oracle Health continues to grow & expand our service in the International Market, we are dedicated to transforming healthcare through innovative data solutions, with a clear vision and purpose. Our mission is to support our clients in the region to improve the health and well-being of the communities they serve through innovative and effective healthcare solutions. We are seeking a dedicated and experienced Healthcare Data and Analytics Manager to join our team and help drive our data-driven initiatives.

The Healthcare Data and Analytics Manager will be responsible for building and growing the team of analytics professionals, building a strong analytics data driven culture, establishing strong experimentation, dashboarding and insights competencies, collaborating with various departments, and ensuring the integrity, accuracy, and security of healthcare data and through that deliver outstanding business outcomes. This individual should be an experienced industry leader with skills in leveraging multiple current technologies, while expanding his/her knowledge on emerging technologies for different projects. The ideal candidate will have a strong background in data analytics, healthcare systems, and management.

Key Responsibilities:

- Data Management and Analysis:

Oversee the collection, storage, and analysis of healthcare data.

- Ensure data integrity, accuracy, and security in compliance with relevant regulations.

- Develop and implement data governance policies and procedures.

- Team Leadership:

Lead and mentor a team of data analysts, data engineers and data scientists.

- Provide training and support to team members on data analytics tools and methodologies.

- Strategic Planning:

Collaborate with various internal & external stakeholders to develop and implement data-driven strategies.

- Identify opportunities for using data analytics to improve clinical outcomes and operational efficiency.

- Develop and monitor key performance indicators (KPIs) and metrics.

- Reporting and Visualization:

Create comprehensive reports and dashboards for various stakeholders.

- Communicate findings and insights effectively to non-technical audiences.

- Collaboration and Communication:

Work closely with IT, clinical, and operational teams to understand data needs and provide solutions.

- Foster a data-driven culture within the organization.

- Continuous Improvement:

Stay current with industry trends, best practices, and emerging technologies in healthcare analytics.

Implement continuous improvement initiatives to enhance data analytics capabilities.