Business Intelligence and Data Management Specialist
2 weeks ago
About the Business Intelligence and Data Management Specialist
We are seeking an experienced Business Intelligence and Data Management Specialist to join our team at Sun Life Financial. This individual will play a vital role in developing and maintaining our business intelligence and data management capabilities, ensuring alignment with business objectives and regulatory requirements.
The successful candidate will have strong experience in data architecture, data modeling, and data management, as well as excellent communication and stakeholder management skills. They will collaborate closely with various business units to understand data requirements and design effective solutions, working closely with IT teams to implement these solutions.
- Business Intelligence and Data Management:
- Develop and maintain business intelligence and data management capabilities, ensuring alignment with business objectives and regulatory requirements.
- Collaborate closely with different business units including, but not limited to, BI and Data Analytics, Operations, Marketing teams to understand their data requirements and design solutions to address them.
- Work closely with IT teams, including application developers, database administrators, and security teams.
- Design data solutions for key projects, ensuring efficient data flows and integrations across platforms.
- Oversee data migrations, data lakehousing, and ETL processes.
- Provide expertise in formulating solutions around data and interfacing systems, which are dependent on our data architecture and landscape.
- Provide expert advice on improvements on algorithms, data transformation and loading methodologies, data management, and the like - bringing in new approaches and technologies, from outside experience.
- Provide guidance and mentorship to data engineers and analysts.
- Act as SME for data management and integration technology and guide delivery teams on implementing data solutions.
- Stay updated on the latest data technologies and trends, recommending improvements where appropriate.
- Lead the organization in adopting emerging modern data technology including cloud databases, NoSQL and NewSQL data stores, modern data integration patterns, Cloud Data Lakehouses.
- Ensure data architecture complies with data privacy regulations and security best practices.
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