Senior. Specialist, Data Enablement Lead (Supply Chain, Manufacturing focus

Job Description

Senior. Specialist, Data Enablement Lead (Supply Chain, Manufacturing focus)

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. Join a team that is passionate about using data, analytics, and insights to drive decision-making and create custom software, allowing us to tackle some of the world's greatest health threats.Our Technology Centres 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 Centres 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 ensure we can manage and improve each location, from investing in the 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. Together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centres.

Role Overview

The Senior Specialist Data Enablement Lead is accountable for enabling trusted, governed, reusable, and AIready data products across Animal Health by providing standards, methods, platforms, guardrails, and enablement while data ownership remains with Value Teams.

Operating within the Architecture, Integration, Data Engineering & Data Enablement (AIDE) organization, this role partners closely with Value Teams, platform teams, analytics and AI teams, and enterprise governance bodies to embed data enablement capabilities into business domains.

Working in a matrixed, domaincentric environment, the Data Enablement Lead acts as a product manager for data enablement, translating governance and platform capabilities into scalable, consumable outcomes that accelerate business value, analytics, and AI adoption.

What will you do

Define and drive the Data Enablement strategy for assigned data domains, aligned with Value Teams, Animal Health Data Platform and One Data Program objectives.Establish and enforce data enablement standards, guardrails, and design principles covering data quality, metadata, lineage, access, privacy, and AI readiness.Act as the AIDE liaison to Value Teams, codesigning domain data products while maintaining clear separation between enablement and ownership.Enable selfservice data capabilities with guardrails, in collaboration with platforms, engineering, and security teams.Own and evolve data enablement roadmaps, prioritizing capabilities based on domain needs, adoption, and business value.Ensure data products are discoverable, trusted, reusable, and fit for advanced analytics and GenAI use cases.Partner with analytics, AI, and data science teams to ensure data enablement supports current and future AI needs.Define and track productstyle metrics (adoption, data quality, timetodelivery, consumer satisfaction).Support domain governance councils, escalation paths, and crossdomain alignment.Your Daily Activities include, but are not limited to:

Management: Lead the design and implementation of scalable, compliant data enablement capabilities aligned with business priorities. Support leadership vision and strategy for a federated, domaincentric data operating model.Process and Insight: Translate governance and platform capabilities into repeatable enablement processes. Promote datadriven decisionmaking using metrics and insights from enablement outcomes.Product & Delivery: Operate with a dataasaproduct mindset, managing enablement backlogs, roadmaps, and lifecycle evolution. Deliver incrementally using agile ways of working.Relationships: Build trusted partnerships with Value Teams, platform teams, analytics teams, and enterprise governance stakeholders. Influence without assuming data ownership.Organizational Change Management: Drive behavioral and cultural change toward reuse, selfservice, and product thinking. Act as a role model for modern data enablement and product leadership practices.Global & Enterprise Alignment: Ensure enablement approaches align with enterprise standards, platforms, and governance frameworks. Coordinate with central data and analytics organizations to avoid duplication and misalignment.Diversity & Inclusion: Respect and value diverse perspectives, fostering an inclusive and collaborative team environmentWhat should you .