Lufthansa Technik Services - Data Science Team Manager - AI/ML in Bengaluru, India

I. Detailed Role Description:We are looking for a highly skilled and visionary Data Science Team Manager (AI/ML) to lead a team of data scientists and machine learning engineers. This role is responsible for driving AI/ML initiatives that solve complex business problems, building scalable models and ensuring successful deployment into production systems. The ideal candidate combines hands-on technical expertise with strong leadership, business acumen and the ability to align data science strategy with organizational goals.II. Roles and Responsibilities:Strategic Leadership & Vision:- Develop and execute a comprehensive data strategy that integrates analytics and data science to drive business outcomes, such as revenue growth, operational efficiency and customer satisfaction.- Translate business objectives into data-driven initiatives that deliver measurable value across departments.- Lead Digital transformation for LTSI organization with strategic forecast on LHT vision 2030.- Define team goals, set priorities and allocate resources effectively.- Foster a culture of innovation, collaboration and continuous learning.- Provide technical guidance and ensure best practices in AI/ML development.- Initiate Hackathons and Capability Roadshows to find solutions to address LH's global https://jobeax.com/link/8SrvGWTNxmgqqRMJ Leadership & Development:- Lead, mentor and manage teams of 20+ Data Analysts, Data Scientists, AI/MLOps professionals, Vision computing experts and AI platform engineers, fostering a culture of innovation, collaboration and technical excellence.- Foster a collaborative and innovative culture that encourages experimentation, learning, and continuous https://jobeax.com/link/zDaUbcKSTE1BxvNe Strategy & Execution:- Take complete responsibility of development and deployment of advanced machine learning models, predictive analytics and AI solutions for applications like forecasting, customer segmentation or process automation.- Support organization with defining & executing the AI/ML strategy aligned with the company's business goals.- Set up an SOP for shared leadership between Germany & BLR in identifying POC's that can be productionized.- Stay current with emerging trends in AI/ML and guide the adoption of cutting-edge techniques.- Oversee the end-to-end lifecycle of ML projects: problem framing, data preparation, model design, training, validation, deployment and monitoring.- Ensure models are accurate, explainable, scalable and robust for production environments.- Drive experimentation and adoption of cutting-edge AI/ML techniques (e.g., deep learning, NLP, computer vision, generative AI).- Drive experimentation culture to evaluate and benchmark algorithms and https://jobeax.com/link/GpRmVosNb9PkNFAV Development:- Identify and capitalize on growth opportunities using data-driven insights to shape market strategies, pitch solutions to clients and partners and secure new business.- Recognize potential roles that can be transitioned from high-cost locations (HAM, MIA) to lower-cost locations (India).- Establish a potential IT team, including full stack development and technical support roles (L2, L3).- Position LTSI as a Center of Competence for Advanced Data Analytics and AI Solutions.Cross-Functional Collaboration & Business Impact:- Collaborate with C-suite executives and department heads to ensure that analytics and data science initiatives align with organizational goals, promoting data-driven decision-making throughout the company.- Identify potential digitization and automation opportunities with over 20 teams in LTSI and implement strategies to enhance quality and efficiency.- Work with LTSI teams to develop digital skills and prepare a future-ready workforce.- Initiate Digital Literacy programs for tailored for all LTSI employees.- Partner with product, engineering and business stakeholders to identify opportunities for AI/ML https://jobeax.com/link/4rdSaWRVdZ5fY8NN Infrastructure & Governance:- Collaborate with global IT and engineering teams to ensure robust, scalable data pipelines, cloud infrastructure (AWS, Azure, GCP), and compliance with data governance and privacy regulations.- Setup digital infrastructure to enable LTSI support functions to operate efficiently.- Ensure data quality, integrity, and security while adhering to compliance standards.- Collaborate with data engineering teams to build and optimize data pipelines.- Ensure data governance ambassadors are in place.- Promote best practices in MLOps, model monitoring and continuous https://jobeax.com/link/zXEKyefh3ZjtI2gr Measurement:- Define KPIs and metrics to evaluate the impact of analytics and data science initiatives on business outcomes.- Set annual cost saving targets and ensure these targets are met by implementing automation, strategic projects.- Ensure the agreed upon KPI's and objectives are successfully https://jobeax.com/link/FEo0bjS44khicc1z Communication:- Develop and distribute project charters, and clearly outline milestones.- Optimize the utilization of budgeted FTEs.- Communicate complex data insights, model outcomes, and strategic recommendations to non-technical stakeholders, including board members, clients, or https://jobeax.com/link/weFLhXQFs3XuFWNx & Trends:- Establish an innovation hub at LTSI to generate viable ideas and secure funding for their implementation.- Stay ahead of industry trends in analytics, AI, and machine learning, integrating cutting-edge methodologies to maintain a competitive https://jobeax.com/link/7R8WInIfuhaWiuHz Skills:- Expertise in analytics tools (SQL, Tableau, Power BI) and data science frameworks (Python, R or Scala, TensorFlow, PyTorch, Scikit-learn, XGBoost, etc).- Solid understanding of deep learning, NLP, computer vision, recommender systems or generative AI.- Knowledge of big data technologies (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure).- Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes).- Experience with statistical analysis, machine learning and predictive modeling.- Strong business acumen with experience in strategic planning and business development.- Proven leadership and team management skills, with the ability to inspire and align diverse teams.- Exceptional communication and presentation skills to influence stakeholders and articulate data-driven strategies.- Knowledge of data engineering and data governance principles.- Ability to bridge technical and business domains, translating complex data concepts into actionable strategies.Qualifications:- Master's/PhD in Data Science, Statistics, Computer Science, Business Administration or a related field.- 12+ years of experience in analytics and/or data science/ML roles, with 4+ years in a senior leadership role overseeing both functions.- Proven track record of delivering AI/ML solutions in production.- Proven track record of driving business impact through data initiatives and business development efforts.- Experience in client-facing roles or strategic partnerships is a plus. (ref:hirist.tech)