Assoc. Dir. , Technical Product Management

Job Description Associate Director Product Manager, Context & Semantics Foundations The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our companys IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role OverviewThis role is part of a broader enterprise initiative to establish a Data Context Layer (DCL) a foundational capability designed to provide consistent, reusable, and scalable context across enterprise data products. The DCL is intended to address challenges related to data fragmentation, lack of shared semantics, and inconsistent interpretation of data across systems and products. It establishes a unified layer for representing context, relationships, and meaning, enabling downstream products to operate with greater consistency, interoperability, and intelligence. In addition, the DCL plays a critical role in enabling agentic AI capabilities across the enterprise by providing the structured context and semantic grounding required for intelligent agents to operate reliably. This includes ensuring that agent-driven workflows and decisions are based on consistent, governed, and interpretable data context, reducing risks associated with fragmentation, ambiguity, and lack of control. Within this initiative, the Associate Director Product Manager, Context & Semantics Foundations will own the product definition, development, and evolution of core context and semantics capabilities. These capabilities form the backbone for how data is understood, connected, and consumed across multiple products and platforms, and will be central to enabling governed, scalable, and reusable intelligent systems. The role operates at the intersection of product, architecture, and enterprise platforms, working closely with Enterprise Architecture, platform teams, and product leadership to build enterprise-grade context capabilities that support both traditional data products and emerging AI-driven use cases. Key ResponsibilitiesProduct Ownership Context & Semantics FoundationsOwn the end-to-end product strategy, roadmap, and lifecycle for Context & Semantics capabilities within the Data Context LayerDefine how context is modeled, represented, and consumed across products and platformsEnsure capabilities are designed as reusable building blocks supporting multiple downstream products and AI-driven workflowsContext & Semantics Capability DevelopmentDefine and evolve core capabilities related to:Context modeling and representationSemantic abstraction and standardizationRelationships across data entities and domainsDrive standardization in how data meaning, relationships, and context are defined, governed, and reusedEnsure consistency across products in how context is applied and interpretedAgentic AI Enablement & GovernanceEnable development of agentic AI capabilities by providing:Structured and reusable context modelsConsistent semantic definitions across domainsEnsure that agent-driven workflows operate on governed, high-quality, and interpretable data contextSupport definition of guardrails that:Reduce ambiguity in decision-making by AI agentsImprove traceability and explainability of outcomesPartner with broader teams to align context capabilities with enterprise AI governance expectationsAlignment with Enterprise Architecture & PlatformsWork closely with Enterprise Architecture (EA) to:Define scalable and extensible context modelsAlign semantics with enterprise data standards and reference architecturesPartner with enterprise platform teams to ensure:Integration with underlying