Director Data Sciences Role Name Director Agentic AI Department Name AI Data Science ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world s toughest diseases and make people s lives easier fuller and longer We discover develop manufacture and deliver innovative medicines to help millions of patients Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation using technology and human genetic data to push beyond what s known today ABOUT THE ROLE Role Description We are seeking a Director of Data Science - Amgen s most senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI platforms Sitting at the intersection of engineering excellence and data-science enablement you will design the core services infrastructure and governance controls that allow hundreds of practitioners to prototype deploy and monitor models classical ML deep learning and LLMs securely and cost-effectively Acting as a player-coach you will establish platform strategy define technical standards and partner with DevOps Security Compliance and Product teams to deliver a frictionless enterprise-grade AI developer experience Roles Responsibilities Develop and execute a multi-year data-science strategy and roadmap that directly supports corporate objectives translating it into measurable quarterly OKRs for the team Lead mentor and grow a high-performing staff of data scientists and ML engineers providing technical direction career development and continuous learning opportunities Own the end-to-end delivery of advanced analytics and machine-learning solutions from problem framing and data acquisition through model deployment monitoring and iterative improvement ensuring each project delivers clear business value Prioritise and manage a balanced portfolio of initiatives applying ROI risk and resource-capacity criteria to allocate effort effectively across research clinical manufacturing and commercial domains Provide hands-on guidance on algorithm selection and experimentation regression classification clustering time-series deep learning generative-AI causal inference ensuring methodological rigour and reproducibility Establish and enforce best practices for code quality version control MLOps pipelines model governance and responsible-AI safeguards privacy fairness explainability Partner with Data Engineering Product IT Security and Business stakeholders to integrate models into production systems via robust APIs dashboards or workflow automations with well-defined SLAs Manage cloud and on-prem analytics environments optimising performance reliability and cost negotiate vendor contracts and influence platform roadmaps where appropriate Champion a data-driven culture by communicating insights and model performance to VP SVP-level leaders through clear storytelling visualisations and actionable recommendations Track emerging techniques regulatory trends and tooling in AI ML pilot innovations that keep the organisation at the forefront of data-science practice and compliance requirements Must-Have Skills Leadership Delivery 10 years in advanced analytics with 4 years managing high-performing data-science or ML teams steering projects from problem framing through production Algorithmic Expertise Deep command of classical ML time-series deep-learning CNNs transformers and causal-inference techniques with sound judgement on when and how to apply each Production Engineering Expert Python and robust SQL plus hands-on experience deploying models via modern MLOps stacks MLflow Kubeflow SageMaker Vertex AI or Azure ML with automated monitoring and retraining Business Influence Proven ability to translate complex analytics into concise outcome-oriented narratives that inform VP SVP-level decisions and secure investment Cloud Cost Governance Working knowledge of AWS Azure or GCP including performance tuning and cost-optimisation for large-scale data and GPU CPU workloads Responsible AI Compliance Familiarity with privacy security and AI-governance frameworks GDPR HIPAA GxP EU AI Act and a track record embedding fairness explainability and audit controls throughout the model lifecycle Good-to-Have Skills Experience in Biotechnology or pharma industry is a big plus Published thought-leadership or conference talks on enterprise GenAI adoption Master s degree in Computer Science and or Data Science Familiarity with Agile methodologies and Scaled Agile Framework SAFe for project delivery Education and Professional Certifications Master s degree with 15 - 17 years of experience in Computer Science IT or related field OR Bachelor s degree with 18 - 20 years of experience in Computer Science IT or related field Certifications on GenAI ML platforms AWS AI Azure AI Engineer Google Cloud ML etc are a plus Soft Skills Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented with a focus on achieving team goals Ability to learn quickly be organized and detail oriented Strong presentation and public speaking skills EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race color religion sex sexual orientation gender identity national origin protected veteran status or disability status We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process to perform essential job functions and to receive other benefits and privileges of employment Please contact us to request an accommodation

📌 Director Agentic Ai (Telangana)
🏢 AMGEN
📍 Telangana