Description:

Evaluate third-party tools and emerging technologies for data migration and AI-assisted workflows.
Develop quantitative models to assess migration risk and validate data consistency.
Coordinate end-to-end delivery of customer data migration projects.
Design and maintain internal data pipelines for analytics and reporting.
Create analytical playbooks and migration frameworks based on project experience.
Implement data quality monitoring and validation workflows using Python and SQL.
Evaluate cloud environments for cost efficiency and integration risk.
Develop dashboards and reporting structures for actionable insights.
Support technology partnerships by assessing integration opportunities.
Act as a subject matter resource for data pipeline evaluation and migration methodologies.

Requirements:

Master's Degree in Data Science, Applied Mathematics, or a related field.
At least 2 years of experience in Data Science or Applied Analytical roles, including AI/ML technology assessment.

Skills