Senior Manager - Data Science & AI

Job Description

As a highly skilled and visionary Senior Manager Data Science & AI, your role will involve leading advanced analytics and AI/ML initiatives, including next-generation technologies like Generative AI and Agentic AI. You will manage data science teams, drive innovation in machine learning model development, and operationalize AI solutions that deliver measurable business value.**Key Responsibilities:**- Lead, mentor, and scale a team of data scientists, ML engineers, and AI researchers working on predictive analytics, generative AI models, and agentic AI systems.- Define the AI/ML strategy aligned with business goals and emerging technology trends, including GenAI and agentic AI capabilities.- Oversee the full ML lifecycle: problem formulation, data acquisition, feature engineering, model development, validation, deployment, and monitoring.- Drive the research and development of advanced AI models, including generative models (e.g., GPT, diffusion models), reinforcement learning agents, and autonomous AI systems.- Collaborate with product, engineering, and data engineering teams to integrate AI/ML solutions into scalable production environments.- Implement best practices for MLOps, model governance, explainability, and ethical AI.- Evaluate and adopt state-of-the-art AI technologies, frameworks, and tools (e.g., TensorFlow, PyTorch, Hugging Face, LangChain).- Champion the use of generative AI for use cases such as content generation, code synthesis, conversational agents, and decision automation.- Manage cross-functional projects and collaborate with stakeholders to prioritize AI initiatives based on business impact.- Stay abreast of industry research and contribute to AI community engagement, publications, or conferences as appropriate.**Must-Have Skills & Qualifications:****Technical Expertise:**- Strong background in Data Science, Machine Learning, Artificial Intelligence, with hands-on experience in developing and deploying models in production.- Deep knowledge of Generative AI technologies experience working with models such as GPT, BERT, DALL-E, diffusion models, or other generative architectures.- Understanding of Agentic AI concepts including reinforcement learning, autonomous decision-making systems, and intelligent agents.- Proficiency in ML frameworks and libraries: TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers, LangChain, etc.- Programming expertise in Python and experience with related ML/AI libraries.- Experience with MLOps practices and tools for CI/CD of machine learning models (e.g., Kubeflow, MLflow, TFX).- Solid grasp of data engineering basics and ability to collaborate effectively with data engineering teams.- Familiarity with cloud platforms (Azure ML, AWS SageMaker, Google Vertex AI, Oracle AI services) for model training and deployment.- Knowledge of AI ethics, fairness, bias mitigation, privacy, and explainability.**Leadership & Management:**- Proven experience managing data science, ML, or AI teams.- Ability to translate complex AI technologies into business value and actionable insights.- Strong communication and stakeholder management skills.- Experience working in agile delivery environments and managing cross-functional resources.- Demonstrated ability to mentor and develop technical talent.**Preferred Qualifications:**- Masters or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or related field.- Publications or patents in AI fields or participation in AI research communities.- Experience in deploying AI-powered conversational agents, digital assistants, or autonomous AI systems.- Familiarity with natural language processing (NLP), computer vision, or speech AI applications.- Experience with agentic or autonomous AI frameworks and tooling. As a highly skilled and visionary Senior Manager Data Science & AI, your role will involve leading advanced analytics and AI/ML initiatives, including next-generation technologies like Generative AI and Agentic AI. You will manage data science teams, drive innovation in machine learning model development, and operationalize AI solutions that deliver measurable business value.**Key Responsibilities:**- Lead, mentor, and scale a team of data scientists, ML engineers, and AI researchers working on predictive analytics, generative AI models, and agentic AI systems.- Define the AI/ML strategy aligned with business goals and emerging technology trends, including GenAI and agentic AI capabilities.- Oversee the full ML lifecycle: problem formulation, data acquisition, feature engineering, model development, validation, deployment, and monitoring.- Drive the research and development of advanced AI models, including generative models (e.g., GPT, diffusion models), reinforcement learning agents, and autonomous AI systems.- Collaborate with product, engineering, and data engineering teams to integrate AI/ML solutions into scalable production environm

Keyskills :
Data ScienceMachine LearningArtificial IntelligencePythonData EngineeringLeadershipManagementCommunicationStakeholder ManagementMentoringGenerative AIAgentic AITensorFlowPyTorchHugging Face TransformersLangChainMLOpsCICDCloud Platforms