Data Engineer
Novartis (company site, opens in a new tab)8–12 yrsHyderabadOn-siteDirect career pageEst. 30–50 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Accountable for assessing and improving data readiness and quality for AI use cases within Corporate Affairs to ensure reliable AI outputs.
- Partner with data owners, IT, and delivery teams to define data sources, requirements, governance, and support remediation of data quality issues.
- Produce reporting on data quality status, readiness risks, remediation progress, and maintain data management practices such as metadata, lineage, and control processes.
Minimum Requirements
- Bachelor’s degree in Information Systems, Computer Science, Data Management, Business Analytics, Statistics, Engineering, or related field.
- 8-12 years of experience in data management, data governance, data quality, business intelligence, analytics support, or related roles.
- Extensive experience with AI platforms or toolchains (e.g., Claude, GPT, Azure OpenAI, Langfuse, vector databases).
- Proven track record in assessing data readiness, documenting data definitions, improving data quality, and partnering with IT and business stakeholders.
Ideal Candidate Profile
- Experienced in corporate environments with strong expertise in data governance, quality controls, and metadata management for AI and advanced analytics.
- Capable of operating cross-functionally to coordinate data management and compliance practices supporting AI portfolio delivery.
- Experienced in producing clear data quality documentation and reports to enhance stakeholder visibility and drive remediation efforts.