Senior Manager - Data Sciences & Artificial Intelligence

Job Description

As a member of Transformative Digital Capabilities (TDC) at Amgen India (AIN), you will be a key player in driving Process Development (PD) and Operations digital transformation through innovative digital capabilities. Your primary focus will be on empowering Process Development staff to leverage the convergence of chemistry, biology, engineering, and computing, facilitated by Data Products, Artificial Intelligence, Digital Twins, Product Management, and Organizational Change Management expertise.Key Responsibilities:- Lead a diverse team within AIN, combining people leadership, product ownership, client success, data science, ontology, knowledge graph expertise, in silico modeling, and AI engineering.- Shape a high-performing local team and deliver impactful digital capabilities for Process Development.- Provide guidance to data scientists, AI engineers, ontology specialists, product owners, and stakeholders on delivery decisions, dependencies, and tradeoffs.- Define product vision, roadmap, backlog, and release planning to ensure measurable client outcomes and stakeholder expectations are met.- Convert ambiguous business needs into actionable product, data, and AI use cases.- Define and implement controlled vocabularies, taxonomies, semantic models, entity relationships, and graph data models.- Apply machine learning principles, in silico modeling, data modeling, and data engineering to solve complex problems.- Build, integrate, evaluate, and operationalize AI/ML capabilities for retrieval-augmented generation and context engineering.- Bridge subject-matter experts, business stakeholders, and technical teams to ensure products solve real problems with agility.- Demonstrate in-depth understanding of AI, semantic technologies, and product practices to prototype, review designs, and unblock teams.- Balance client needs, technical debt, delivery capacity, risk, and long-term scalability for product success.Qualifications Required:- Strong leadership skills in coaching, performance management, and talent development.- Technical expertise in data science, AI engineering, and in silico modeling.- Experience in product ownership, client success, and strategic problem framing.- Proficiency in ontology, knowledge graph implementation, and data engineering.- Ability to translate scientific and business needs into scalable solutions.- Strong communication and collaboration skills across various functions and stakeholders.- Prior experience in digital transformation and agile practices would be advantageous. As a member of Transformative Digital Capabilities (TDC) at Amgen India (AIN), you will be a key player in driving Process Development (PD) and Operations digital transformation through innovative digital capabilities. Your primary focus will be on empowering Process Development staff to leverage the convergence of chemistry, biology, engineering, and computing, facilitated by Data Products, Artificial Intelligence, Digital Twins, Product Management, and Organizational Change Management expertise.Key Responsibilities:- Lead a diverse team within AIN, combining people leadership, product ownership, client success, data science, ontology, knowledge graph expertise, in silico modeling, and AI engineering.- Shape a high-performing local team and deliver impactful digital capabilities for Process Development.- Provide guidance to data scientists, AI engineers, ontology specialists, product owners, and stakeholders on delivery decisions, dependencies, and tradeoffs.- Define product vision, roadmap, backlog, and release planning to ensure measurable client outcomes and stakeholder expectations are met.- Convert ambiguous business needs into actionable product, data, and AI use cases.- Define and implement controlled vocabularies, taxonomies, semantic models, entity relationships, and graph data models.- Apply machine learning principles, in silico modeling, data modeling, and data engineering to solve complex problems.- Build, integrate, evaluate, and operationalize AI/ML capabilities for retrieval-augmented generation and context engineering.- Bridge subject-matter experts, business stakeholders, and technical teams to ensure products solve real problems with agility.- Demonstrate in-depth understanding of AI, semantic technologies, and product practices to prototype, review designs, and unblock teams.- Balance client needs, technical debt, delivery capacity, risk, and long-term scalability for product success.Qualifications Required:- Strong leadership skills in coaching, performance management, and talent development.- Technical expertise in data science, AI engineering, and in silico modeling.- Experience in product ownership, client success, and strategic problem framing.- Proficiency in ontology, knowledge graph implementation, and data engineering.- Ability to translate scientific and business needs into scalable solutions.- Strong communication and collaboration skills a

Keyskills :
Artificial IntelligenceProduct ManagementData ScienceOntologyMachine LearningData ModelingData QualityMetadataSemantic TechnologiesData ProductsDigital TwinsOrganizational Change ManagementKnowledge GraphIn Silico ModelingAI EngineeringData