GSK India
Location
Bangalore | India
Job description
Strategy: Accountable for developing and executing 3-year product roadmaps in alignment with the RD strategy and RD stakeholders. The product roadmaps will be built with a clear focus on value delivery to the RD strategy and will prioritize investments based on value.
Product Management: Accountable for managing and prioritizing the product backlog , d riving PI planning events , aligning on PI commitments, and unblocking issues. Partner with data owners and stewards in Development and data engineers in Development Digital Tech to ensure features are delivered to plan and in line with expectations .
Stakeholder Management: Collaborate with cross-functional teams, including subject matter experts and Development data owners and stewards, as well as data governance product owners and data engineers in Development Tech to deliver end-to-end solutions that meet user needs and business goals.
Lifecycle Management: Manage the product lifecycle, from ideation to launch to iteration, using agile methodologies. Define and track key performance indicators (KPIs), quality and success metrics for the products. Actively seek feedback (voice of customer/voice of product) and monitor usage patterns.
Governance: Partner with Development data owners and stewards to ensure fit for purpose governance is defined and applied to the products within the domain
Basic Qualifications:
Bachelor s degree or higher in computer science or engineering
Good experience delivering products and services, preferably in pharma RD analytics.
Proven track record of delivering successful products and services that solve complex problems and create value for users and stakeholders.
Experience working with Pharma RD data from multiple disciplines across a global enterprise to create cohesive solutions.
Understanding of mesh technology and its applications in pharma RD analytics, such as data integration, data governance, data quality, data security, data lineage, data cataloging, data discovery, data access, data sharing, data collaboration, etc
Excellent relationship management, strong influencing, and communication skills at senior level
Experience with Agile and DevOps
Experience with vendor management
Experience with Data Exchange and coloration platforms for sharing data externally.
Experience with Anonymization tools and capabilities
Preferred Qualifications:
Master s or Doctorate in Tech / Life Sciences
Demonstrated ability to solve complex problems and deliver significant process improvements.
SAFE/Agile certification
Experience of GxP V alidation processes
Application of design thinking
Application of event-driven architecture (EDA)
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