Manager, Data Scientist (CEE Business Intelligence)

What you will do

• Lead the Data Scientists team
  • Oversee the day-to-day activities of technical teams, consisting of varied level of experienced Data Scientists
  • Promote and guide continuous professional and personal development of all team members
  • Provide guidance to associates within the established company policies; recommend changes to policies and procedures
  • Improve knowledge management, promote customer-centric mindset and enhance problem solving capabilities of the team
  • Manage the internal stakeholders requirements and expectations about complex projects and initiatives related to data and Artificial Intelligence (AI)
  • Lead, coordinate and contribute to the improvement initiatives on CEE (Customer Experience and Engagement) department processes and workflow that aligns with Business Intelligence team's expectations
  • Receive assignments in the form of objectives and define how to use resources to meet schedules and goals
  • Follow processes and operational policies in selecting methods and techniques for obtaining solutions
  • Act as an adviser to our leaders as well as associates to meet schedules and resolve business problems
• Drive the programs or initiatives related to Business Intelligence (e.g. Customer Intelligence)
  • Prepare a program plan for Business Intelligence programs
  • Identify the resources from different teams to collaborate
  • Assist with forecasting, workforce, and capacity planning
  • Assist with regular operational reporting
  • Provide input to develop processes and procedures as part of the leadership team and co-ordination with other global support centres
• Follow processes and operational policies in selecting methods and techniques for obtaining solutions
• Collaborate with Product Engineering or Business Units, Quality Engineering, Documentation group as well as field teams like Sales function, Solution Architects or marketing teams as needed

What you will bring

• Proficiency in utilizing LLMs (e.g., Google Gemini), as relevant, for tasks such as brainstorming solutions, deep research, summarizing technical documentation, drafting communications, summarizing complex technical information, and enhancing problem-solving efficiency across the development lifecycle.
• Hands-on experience in a data science or machine learning role.
• Experience in a leadership or management capacity, directly managing a team of data scientists or analysts.
• Demonstrated experience in successfully delivering machine learning models that solve real-world business problems and generate measurable business impact.

The following are considered a plus:

• Experience in working for a technical support environment, in a technology-oriented company or department
• Knowledge of support systems and tools
• Appreciation and passion for open source software