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Tier-1 brand, metro location, mid-level generalist data role with broad skillset increases competition.
Core cloud data-platform skills transfer well, but life-sciences commercial data expertise raises domain sensitivity.
Explicit 3–6 years plus AWS/Databricks, SQL/Python and domain experience yields high shortlisting strictness.
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Own execution of enhancements and operational management of data platforms for multiple Therapeutic Area brands, ensuring data refreshes meet SLA and cadence.
Act as primary liaison for cross-functional stakeholders, coordinating requirements gathering, solution design, testing, and deployment within Agile SaFE methodology.
Manage platform infrastructure including AWS, Airflow, and Databricks; implement monitoring, anomaly detection, and support tools to ensure system health and operational excellence.
3 to 6 years of relevant data management experience.
Proven experience working in global teams and delivering solutions within Agile Product teams.
Hands-on experience with AWS, Databricks, SQL, Python, R technologies; expertise in data architecture, data modelling, and data profiling.
Any degree.
Experienced in commercial data management environments, ideally life sciences or pharmaceutical commercial data domain supporting multiple brand stakeholders.
Skilled in cross-cultural and cross-time zone collaboration within global and multinational teams, acting as a key conduit among business, data management, and technology.
Proficient in translating complex data platform requirements into scalable technical solutions and operational processes, with a focus on continuous improvement and innovation.