Job Description

About Company:
Our client is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Our client Is dedicated to making a difference on patients' daily life, wherever they live and enabling them to enjoy a healthier life.
An Ideal Candidate:
As a Business Capability Lead Associate, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable).
Key Competencies:
1.Work in collaboration with R&D Data Office leadership, business, and R&D Digital subject matter experts:
2.Partner with key stakeholders across R&D functions to identify data-related needs and initiatives (e.g., MDM, data catalog etc) and design innovative data solutions to support business priorities
3.Partner with R&D Digital stakeholders to oversee data-related activities and verify data functionality from ingest through access, Drive program management of initiatives and capabilities; ensure on-schedule/on-time delivery and proactive management of risks/issues
4.Establish ways of working across all partner functions for specifically assigned capabilities/initiatives, Examine multidimensional datasets and drive business processes updates to be performed and steer the respective change initiatives
5.Oversee maintenance of documentation and act as an expert on data definitions, data flows, legacy data structures, access rights models, etc. for assigned domain, Manage and maintain data modelling methodology already established within Data Governance team
6.Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc, participate in the evaluation of new technologies and innovation projects related to information management
7.Manage and evolve current data integration standards policies and procedures, and data quality management services, Manage maintenance of data lineage and support root cause analysis and impact assessment on data related topics
8.Define and maintain KPIs on data governance products and services, May directly or in-directly lead junior data roles (e.g., data modelers, data stewards etc) across end-to-end data activities (ingest through access)