As a Data & AI Manager, you will lead data engineering, data science, and AI-driven transformation projects, providing strategic direction to clients while driving technical excellence. You will play a key role in designing scalable data architectures, data governance frameworks, and AI-powered solutions, ensuring best practices in data management.
You will be part of a global network of 250+ data professionals across our Centres of Excellence in Paris, Montr茅al, Brussels, New York, London, Hong Kong, and the Middle East, solving complex data challenges and developing cutting-edge solutions.
Key Responsibilities
Client Delivery & Technical Execution
- 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.
Business Development & Leadership
- 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鈥檚 Data & AI offerings.
Technical Expertise & Innovation
We seek hands-on experience in one or more of the following areas:
- Data Engineering & Transformation:
- SQL, Python for data processing and modelling.
- Azure Data Factory (ADF), FiveTran, Matillion, Oracle Data Integration, AWS Glue, AWS Data Pipeline.
- Cloud Platforms & Storage:
- Expertise in Azure (preferred), AWS, Oracle, or GCP.
- Azure services: Synapse, Data Lake, Databricks, Fabric.
- AI & Machine Learning:
- Experience with data science techniques, predictive modelling, and ML frameworks.
- Hands-on exposure to Azure ML, TensorFlow, PyTorch, AWS SageMaker.
- Analytics & Business Intelligence:
- Strong proficiency in Power BI (preferred), Tableau, QuickSight, Oracle Analytics Cloud.
- DevOps & Automation:
- Experience with CI/CD pipelines and deployment automation (Azure DevOps preferred).
- Low-Code Solutions:
- Experience with PowerApps (preferred) to enhance workflow automation and reporting.
Leadership & Team Development
- Manage and mentor data engineers, data scientists, and consultants, fostering skill development.
- Lead client engagements, ensuring high-quality delivery and strategic impact.
- Promote a collaborative, innovative, and results-driven team culture.