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Role OverviewAt Amgen, as part of the Transformative Digital Capabilities (TDC) team, you will drive Process Development (PD) and Operations digital transformation by innovating digital solutions that cater to both present and future needs. Your role will involve empowering Process Development staff to leverage chemistry, biology, engineering, and computing through innovative digital capabilities like Data Products, Artificial Intelligence, Digital Twins, Product Management, and Organizational Change Management. Key ResponsibilitiesLead a new group within Amgen India (AIN) focusing on people leadership, product ownership, client success, data science, ontology, knowledge graph expertise, in silico modeling, and AI engineering.Provide people leadership by coaching, managing performance, participating in hiring decisions, prioritizing workloads, fostering team health, and developing talent.Collaborate crossfunctionally to guide data scientists, AI engineers, ontology specialists, product owners, business partners, and stakeholders in making delivery decisions, managing dependencies, and addressing tradeoffs.Define product vision, roadmap, backlog, prioritize releases, manage stakeholder expectations, gather feedback, strategize adoption, and ensure measurable client outcomes.Implement ontology and knowledge graph by defining controlled vocabularies, taxonomies, semantic models, entity relationships, graph data models, entity resolution approaches, and semantic query patterns.Develop, integrate, evaluate, and operationalize AI/ML capabilities including retrievalaugmented generation, context engineering, agents/workflows, evaluations, guardrails, and humancentric designs.Bridge the gap between subjectmatter experts, business stakeholders, and technical teams to ensure the product addresses real problems with agility.Demonstrate learning agility and technical expertise in AI, semantic technologies, and product practices to prototype, review designs, challenge assumptions, and support teams.Manage priorities and tradeoffs effectively by balancing client needs, technical debt, delivery capacity, risk, speed, and longterm scalability of products.QualificationsStrong background in Data Science, Artificial Intelligence, Product Management, Machine Learning, Data Engineering, ontology, and Knowledge Graph.Experience in leading teams, defining product strategies, client success, ontology implementation, data science, AI engineering, and strategic problemsolving.Proven ability to translate complex scientific and business needs into scalable solutions while collaborating crossfunctionally and demonstrating technical credibility.Familiarity with Scaled Agile practices and a track record of driving digital transformation in the intersection of science/engineering, data, modeling, and artificial intelligence. .