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Lead end-to-end custodial data integrations from Tamarac into Salesforce, troubleshoot data and pipeline issues, and design/optimize Salesforce CRM workflows for wealth management. Serve as a hands-on SME, manage stakeholders, and deliver scalable solutions with minimal oversight.

The role involves managing large-scale data analytics projects, designing data solutions, and collaborating with executives to implement digital and cloud solutions.

The GenAI Engineer will design, build, and deploy Generative AI solutions, focusing on reinforcement learning and multi-agent workflows, while collaborating with various teams to enhance model performance.

As a Talent Acquisition Specialist, you'll manage the recruitment lifecycle, develop recruitment strategies, and mentor a recruitment team while ensuring a positive candidate experience.

As a Senior Data Steward Manager, you'll oversee data management and governance, ensure data quality, and work with cross-functional teams to meet data standards.

The Databricks Architect will design and implement data architecture solutions using Databricks, AWS, and Snowflake, focusing on MLOps and data governance.

Lead enterprise data modernization by designing canonical and semantic data models, data contracts, and real-time streaming architectures (Kafka). Architect AWS and Snowflake-based pipelines, enforce governance and metadata/lineage standards, partner with product and engineering teams, and produce reusable modeling artifacts to enable analytics and AI/ML use cases.

Design and lead the development of cloud-native Generative AI platforms and solutions, ensuring scalability, security, and integration with enterprise applications.

The MLOps Engineer will build, deploy, and monitor machine learning models using AWS services and develop data quality solutions, collaborating with teams.

The Program Manager will coordinate multiple projects, provide strategic guidance, monitor program progress, and manage large customer engagements in the Pharma domain.