Sia Partners is hiring a Data & AI Manager

Responsibilities

• Lead Data Engineering initiatives, including data pipeline development, ETL processing, and large-scale data transformation projects.
• Develop and implement data governance frameworks, ensuring data quality, metadata management, master data management (MDM), and compliance.
• Oversee data architecture, modelling, and cloud-based data storage solutions across Azure, AWS, GCP, and Oracle.
• Design and deploy AI/ML-driven analytics solutions, with a focus on data science methodologies, predictive analytics, and automation.
• Build and maintain CI/CD pipelines for data workflows and AI model deployment to ensure efficiency and automation.
• Implement reporting and analytics solutions using Power BI, Tableau, QuickSight, or Oracle Analytics Cloud.
• Leverage PowerApps (preferred) to automate workflows and improve business processes.
• Identify business opportunities for Data & AI consulting services, contributing to proposals, RFPs, and client presentations.
• Engage with stakeholders to define AI-driven business solutions that drive value and efficiency.
• Provide thought leadership on emerging AI and data technologies, shaping Sia’s Data & AI offerings.

Requirements

• Hands-on experience in Data Engineering & Transformation: SQL, Python for data processing and modelling.
• Experience with data science techniques, predictive modelling, and ML frameworks.
• Strong proficiency in Power BI, Tableau, QuickSight, Oracle Analytics Cloud.
• Experience with CI/CD pipelines and deployment automation.
• Experience with PowerApps to enhance workflow automation and reporting.
• Manage and mentor data engineers, data scientists, and consultants, fostering skill development.
• Lead client engagements, ensuring high-quality delivery and strategic impact.

Nice to Have

• Azure Data Factory (ADF), FiveTran, Matillion, Oracle Data Integration, AWS Glue, AWS Data Pipeline.
• Expertise in Azure (preferred), AWS, Oracle, or GCP.
• Azure services: Synapse, Data Lake, Databricks, Fabric.
• Hands-on exposure to Azure ML, TensorFlow, PyTorch, AWS SageMaker.
• Strong proficiency in Power BI (preferred).
• Experience with CI/CD pipelines and deployment automation (Azure DevOps preferred).
• Experience with PowerApps (preferred) to enhance workflow automation and reporting.

Work Arrangement

Remote (Worldwide) — Paris, Montréal, Brussels, New York, London, Hong Kong, Middle East