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Leads data governance for Morgan Stanley’s Private Wealth Management, establishing frameworks, managing governance committees, and ensuring data quality/regulatory compliance across systems and stakeholders.
Owns the governed knowledge layer (World Model) that defines client entities, relationships, and data lineage for JPMorgan Chase’s AI assistants and systems, ensuring consistent client data across teams.
Analyzes and improves HR skills/job data quality to ensure AI-ready datasets for Workday’s Skills Cloud and talent-matching systems, using Python, SQL, and Snowflake.
Designs scalable data platforms and governance frameworks, integrating cloud/on-prem systems, ETL pipelines, and AI-enabled solutions for enterprise clients.
Build and optimize risk-indicator systems for regulatory reporting, migrate legacy data to Google BigQuery, and maintain data lineage for a major Italian bank.
Support clients in designing and implementing data governance frameworks, processes, and tools, including data quality, cataloging, and security, using SQL, ETL, and MDM platforms.
Lead a team of data engineers to build and scale a BigQuery-based Medallion data platform using dbt, Fivetran, and Cloud Composer, while enforcing governance and data quality standards.
Lead data governance and AI readiness for ING’s Transaction Services, establishing trusted data foundations to enable regulatory compliance, risk management, and AI adoption across payments, trade, and cash management.
Lead the architecture of AI systems for a national broadcaster, designing scalable LLMs, ML pipelines, and agentic workflows while ensuring governance, compliance, and alignment with enterprise goals.
Build and optimize large-scale data pipelines and frameworks for Amgen’s R&D systems using PySpark, Databricks, AWS, and SQL to enable self-service analytics and AI-driven insights.
BeOne continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. When considering candidates, we look for scientific and business professionals who are highly…
Design and build enterprise-scale data pipelines, warehouses, and ETL/ELT processes for a $66B bank, using SQL, Python, SSIS, and Azure DevOps.
Intern role analyzing healthcare business processes, documenting data requirements, and supporting Agile delivery for McKesson Canada’s Data Hub team.
Analyze public health systems for government agencies, gather requirements from stakeholders, and translate them into technical specifications to improve processes and automation.
Owns the roadmap and delivery of data products that power financial decision-making, collaborating with engineering and analytics teams to build scalable, governed datasets and metrics in a regulated fintech environment.
Sell Salesforce’s Informatica Cloud Data Governance solutions to enterprise clients, translating technical governance needs into business value for C-suite stakeholders.
Build and maintain scalable ML infrastructure for property intelligence models using Python, Kubernetes, and cloud-native tools to train, deploy, and monitor AI systems.
About us: Artic Consulting is a dynamic IT and consulting services firm, delivering digital transformation through innovative solutions in data, cloud, and business analytics. We are seeking a skilled Data Engineer…
Credem, tra i gruppi bancari più solidi d'Italia, cerca un Risk Data Scientist per rafforzare la propria area Risk Management in un momento di trasformazione profonda dei sistemi dati. Ti occuperai di: Sviluppare e…
Builds privacy-by-design controls into an AI-powered humanoid robot and backend services, ensuring regulatory compliance and data protection across the stack.
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