Overview
Serve as the interface between Business and Digital/Data on foundational data capabilities across R&D, identifying key use cases, high-level data solutioning, and overseeing day-to-day operations for a specific data capability.
What you'll do
- Drive the development and implementation of R&D's data strategy and governance operating model, focusing on data management, data reuse, and integration standards.
- Collaborate with R&D, Digital, IT and Business teams to identify data needs, design solutions, and ensure seamless data flow from ingestion to access.
- Define and maintain standards for data structure, content, metadata, taxonomies, and glossaries, in alignment with Ontology and Common Data Model teams.
- Lead root cause analysis and impact assessments for data-related issues.
- Manage complex data programs and initiatives, ensuring timely delivery, risk mitigation, and alignment with business priorities.
- Promote consistent ways of working and drive change management, including stakeholder communication, training, and adoption.
- Oversee data documentation and act as subject matter expert on master data management.
- Evaluate and recommend new technologies to enhance data governance frameworks, data reuse, and information management.
- Lead and mentor junior data roles (e.g., data modelers, data stewards) involved in end-to-end data activities.
- Define and track KPIs to measure the success and effectiveness of data governance and management initiatives.
- Coordinate with external partners and vendors on data-related initiatives and standards.
What you'll need
- Experience in business data management, information architecture, technology or other related field.
- Good knowledge of cross-industry data standards.
- In-depth knowledge of Data Governance functions, processes, technology and delivery of the implementation of an R&D DG operational model.
- Good understanding of data storage and data sharing policies and processes.
- Strong familiarity with pharma R&D processes and technology, in particular in the development area: CMC and Clinical.
- Ability to build business relationships and understand end-to-end data use and needs.
- Diplomatic and stakeholder management skills across business, technology, and partners.
- A deep understanding of data processes and requirements, particularly in R&D, with knowledge of clinical trials data.
- Demonstrated strong attention to detail, quality, time management and customer focus.
- Excellent written and oral communication skills.
- Strong networking, influencing and negotiating skills and superior problem-solving skills.
- Demonstrated willingness to make decisions and take responsibility for them.
- Excellent interpersonal skills (team player).
- People management skills in either a matrix or direct line function.
- Bachelor's or Master's degree in Computer Science, Business, Engineering, or Information Technology.
- English language proficiency.
Nice to have
- Knowledge of Data Modelling and Ontology Management.
- Basic programming skills.
Details
- Location: Hyderabad, India.
Read the full description and apply on the company’s own careers page.