Team Leader

Team leader

India, Remote

1.People management (~50%):

•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.

2.DS&AI CC development:

•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

3.Business development and profitability:

•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 

oEspecially: advising on the DS&AI/ genAI architectures, best practices, concepts etc. Assuring technical quality and excellence in architecture.

•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:

Technologies required/ level of independence/competence/methodology knowledge

essential/nice to have 

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.