Data Science - Senior Manager

Responsibilities

• Leading the design and development of advanced data solutions to transform raw data into actionable insights
• Driving data-driven decision-making through exploratory and descriptive analysis and statistical modeling
• Utilizing advanced analytics and statistical techniques to extract insights from large datasets
• Developing and implementing data visualizations to solve complex business problems and inform strategic decisions
• Managing and coaching teams to apply sound judgment and solve through complexity
• Applying systems thinking to identify underlying problems and opportunities within data projects
• Validating outcomes with clients and acting on feedback to enhance project success
• Directing teams through ambiguous and challenging situations while maintaining composure
• Promoting the use of innovative technologies and leading practices in data science and analytics
• Building and maintaining relationships with stakeholders to identify and address data challenges
• Overseeing the deployment of scalable data engineering solutions to support business growth

What You Must Have

• At least a Bachelor's degree
• At least 12 years of experience
• Oral and written proficiency in English required

-Experience with enterprise cloud AI platforms

• Azure AI Foundry integrated with Microsoft Fabric and Purview, Amazon Bedrock with Knowledge

Bases and Guardrails, or Google Vertex AI with BigQuery and Agentspace for building, governing, and deploying production-grade Gen AI and Agentic AI solutions at scale.

• Awareness of AI governance platforms and observability tools (LangSmith, Arize, etc.) for monitoring, tracing, and debugging production AI systems.

• Capable of LLM selection decisions (GPT, Claude, Gemini, Llama, Mistral, etc.) against enterprise requirements including cost, latency, and compliance

What Sets You Apart

• Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
• Demonstrating advanced skills in data science algorithms and workflows
• Utilizing machine learning and deep learning techniques for innovative solutions
• Leading complex data engineering projects with a focus on operational excellence
• Applying systems thinking to identify and solve underlying problems
• Excelling in strategic questioning and data-driven decision making
• Validating outcomes with clients and acting on feedback to drive results