Enterprise Data Strategist

1 week ago

Taguig, National Capital Region, Philippines Sun Life Financial Full time

About the Job Description

The Enterprise Data Strategist will play a pivotal role in shaping our company's data landscape and driving business growth through informed decision-making. This individual will lead the development of our data strategy, ensuring alignment with business objectives and regulatory requirements.

The ideal 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.

  1. Data Architecture Design and Development:
  • Develop and maintain enterprise data models, data standards, and data governance practices.
  • Create and maintain data architecture documentation, including conceptual, logical, and physical data models.
Data Strategy and Governance:
  • Define data strategy, ensuring it aligns with business objectives and regulatory requirements.
  • Co-lead the execution of the formulated Data Strategy, and anything which will be cascaded by Corporate and Regional Offices.
  • Co-create data roadmaps and target data architecture for the organization and coordinate with project managers and other cross-functional teams on their implementation.
  • Keep Sun Life Philippines aligned to RO and Corporate data management and architecture principles and technologies.
  • Establish and enforce data governance policies, procedures, and best practices.
  • Participate in IT project reviews to ensure alignment to data management best practices.
Data Solutions and Integration:
  • 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.
Technical Leadership:
  • 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.
Compliance and Security:
  • Ensure data architecture complies with data privacy regulations and security best practices.

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