This is a fully remote position, open to applicants in New York.

📋 Description

• Assess third-party tools, platforms, and emerging technologies relevant to data migration, data infrastructure, and AI-assisted workflows.

• Conduct technical benchmarking, integration feasibility studies, and build-versus-buy evaluations.

• Create and utilize quantitative models to evaluate migration risks, anticipate data quality issues, and verify data consistency between source and target databases.

• Oversee comprehensive customer data migration projects, encompassing scoping, sequencing, milestone planning, risk identification, dependency management, and cross-functional execution.

• Design, construct, and sustain internal data pipelines along with supporting infrastructure that integrates structured and unstructured data sources.

• Develop analytical playbooks, migration frameworks, and operational accelerators driven by data.

• Execute data quality monitoring, automated regression validation, and lineage analysis workflows utilizing Python and SQL.

• Assess cloud and multi-cloud data environments for cost-effectiveness, reliability, and integration risks.

• Implement data models, dashboards, and internal reporting frameworks.

• Facilitate technology partnerships and external collaboration by identifying integration opportunities and managing partner-solution implementation.

• Serve as an internal expert resource for data pipeline evaluation and migration methodologies.

• Convert operational insights into structured product feedback.