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