Team Leader

Team leader

• Recruit, lead and support your high-performing team in day-to-day activities while setting clear, achievable goals.
• Act as a role model by promoting integrity and living our core values every day.
• Support your team members’ growth by providing regular recognition and constructive feedback.
• Build strong partnerships with other Team Leaders and Delivery teams to ensure smooth project execution and effective resource allocation.
• Communicate and implement company-wide processes and guidelines.
• Define, shape, and optimize the structure of your team.
• Manage team billability and ensure capacity and skill sets align with business needs and demand forecasts.
• Collaborate with Site Leadership, ensuring talent is sourced from appropriate locations in line with geo strategy.
• Help team members to achieve high customer satisfaction on their tasks.

• Developing and maintaining team operating rhythm
• Support DS&AI Competency strategy implementation.
• Develop India site strategy
• Proactively participate in improving competency unit in Lingaro, by leading initiatives, taking part in leaders discussions

• Support Account teams in sharing knowledge about DS&AI scope, support meeting customer demand and engage closely with Go-to-market and Account Delivery Management to understand customer expectations.
• Collaborate with Delivery on offers effort estimation and costing
• Help Team Members to search for new opportunities, take responsibility for some presales processes.
• Support offers and presentations (e.g., success stories) preparation.
• Ensuring profitability on a team at and individual level

Data Scientist (50%):

• Be able to work as data scientist on development project in area of (one of the following) Data Science: Forecasting and Time Series, Optimization, Machine Learning, AI Engineering or GenAI

• Researching and preparing solutions for common DS/ML projects problems, defining the guidelines for team members and the whole competency.
• Be able to take Project Manager /Tech Leader role when needed.
• Being up-to-date with DS/AI/ML and AI market trends.

Requirements:

Essential:

• At least 4 years of experience in Data&Analytics, preferably DS&AI.
• (nice-to-have) At least 2 years in Team Leader, Project Manager, Tech Leader role or similar position.
• Working with stakeholders on different seniority and maturity level
• Very good communication skills and strong stakeholder management skills
• Drive to understand business requirements
• Ability to combine technical and business topics
• Strong communication, analytical thinking, decision-making, and problem-solving skills.
• Experience in at least one of the following roles: data scientists, ADM, project manager, business analyst.
• Experience in people management, customer management, project delivery.
• Strong, proven knowledge and experience in the following fields: Machine Learning, Data Science, Artificial Intelligence,
• Presentation skills.
• High ambition, motivation, and passion to achieve things that no one achieved before.
• Ability to perform under pressure and manage expectations effectively.
• Negotiation skills and the ability to influence stakeholders.
• Experience managing medium-sized projects.
• Solid understanding of how analytical solutions bring value to customers and how delivery excellence impacts customer satisfaction.
• Deep understanding of customers’ business context and the role of IT in enabling service delivery.
• High level of ownership and a proactive, self-driven mindset.

Nice to have:

• Strong experience in CPG industry.
• Knowledge and experience in BI, DWH, Cloud solutions, genAI etc.
• Knowledge of ML Ops, solution operationalization, DevOps.

Originally posted on Himalayas