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Tier-1 employer, metro location, mid-level product role, and broad data-product skillset increase applicant competition.
Data-platform product skills transfer broadly, though regulated biotech preference increases domain sensitivity somewhat.
Explicit degree/years requirements plus domain experience preferences make filters moderately strict.
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Own end-to-end product vision, roadmap, and backlog for data and analytics platform capabilities supporting scalable access, governed analytics, and AI use cases for Process Development.
Partner cross-functionally with business, engineering, and product teams to translate stakeholder needs into prioritized Agile features ensuring scalable, maintainable solutions.
Lead user acceptance testing, business validation, release readiness, and drive continuous product performance monitoring and adoption.
Minimum Requirements
Educational qualification of Doctorate or Master's degree with minimum 3 years relevant experience, or Bachelor's degree with minimum 5 years relevant experience.
Experience owning or supporting data, analytics, or digital platform products in a complex enterprise environment.
Knowledge of data platforms, data pipelines, metadata, governance, analytics workflows, and cloud data ecosystems (e.g. Databricks, Redshift, Snowflake).
Work Experience Required: Minimum 3-5 years relevant experience depending on degree; Notice Period: Not explicitly mentioned in the JD.
Doctorate or Master's degree + 3 years relevant experience OR Bachelor's degree + 5 years relevant experience.
Experience with data, analytics, or digital platform product ownership/support in a complex enterprise environment.
Strong knowledge of data platforms, pipelines, governance and cloud ecosystems like Databricks, Redshift, or Snowflake.
Not explicitly mentioned: Notice period or onsite flexibility; Work location is onsite in Hyderabad, India.
Experienced in managing and prioritizing complex data analytics platform product backlogs with measurable impact in regulated or data-driven scientific domains.
Capable of independently balancing multiple priorities and driving Agile delivery in collaboration with diverse business and technical stakeholders.
Strong background in biotechnology, pharmaceuticals, or regulated industries with ability to manage AI-enabled workflows and advanced analytics tooling.