Product Manager, Context Serving, Data Context Layer

About the role

- 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 company's 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 Overview This 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 Serving. will own the product definition, development, and evolution of core context serving capabilities . These capabilities form the backbone for how context is 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 . Role Summary We are seeking a Product Manager to own a single, high-impact capability within our enterprise data context platform: self-service serving of standardized data context . This role will focus on defining, building, and scaling one core capability that enables teams to publish, discover, and consume data context consistently across the enterprise. The ideal candidate has strong product instincts, technical fluency in data/semantic systems, and experience partnering with engineering and architecture teams to deliver a platform capability from definition through production adoption. This role also requires working knowledge of agentic AI, prompt engineering, and context engineering concepts, particularly as they relate to delivering reliable, reusable context for AI-enabled applications.

Responsibilities

• Own the product vision, requirements, and roadmap for the assigned capability within the context platform.
• Define how the capability supports standardized, self-service serving of data context.
• Partner with engineering, architecture, and governance teams to translate standards into implementable product requirements.
• Ensure the capability is intuitive for users and scalable for enterprise adoption.
• Define workflows for: publishing context
• discovering context
• consuming context through approved interfaces
• validating and maintaining context quality
• Collaborate with adjacent platform teams to ensure the capability integrates cleanly with broader context, metadata, and governance services.
• Work with stakeholders to prioritize features, resolve tradeoffs, and drive adoption.
• Define success metrics such as usage, reuse, quality, and time-to-onboard.
• Support the transition of the capability fr

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