Novartis
Novartis
Novartis ir globāls veselības aprūpes uzņēmums, kas koncentrējas uz inovatīvu zāļu atklāšanu un izstrādi, lai palīdzētu uzlabot un pagarināt cilvēku dzīvi. Tā pētniecības un izstrādes darbs aptver sirds un asinsvadu, nieru un vielmaiņas slimības, imunoloģiju, neirozinātni un onkoloģiju, apvienojot zinātnisku sadarbību ar mūsdienīgām tehnoloģiju platformām. Uzņēmums uzsver arī daudzveidību, vienlīdzību un iekļaušanu, kā arī sociālo un vides atbildību kā daļu no sava darba medicīnas attīstības veicināšanā.

Novartis Associate Director, Data Engineering Lead

Lead governed data engineering, observability, and enterprise data contracts at Novartis. Build reliable, compliant data foundations for AI-ready products and patient outcomes.

Apraksts

  • Set and uphold enterprise standards for data engineering, pipeline reliability, and production controls.
  • Design and guide scalable, governed data pipelines for critical business and data domains.
  • Oversee enterprise data contracts from review and approval through governance and enforcement.
  • Build data observability through monitoring, anomaly detection, service levels, and operational alerts.
  • Put controls in place to keep critical data elements traceable, validated, and protected.
  • Prevent incomplete, inaccurate, or non-compliant data from reaching downstream systems.
  • Work with data modeling teams to align engineering implementation with approved enterprise models.
  • Coordinate with governance, privacy, architecture, and platform teams to support compliant data delivery.
  • Automate deployments, validation, metadata capture, lineage generation, testing, and reporting.
  • Track operational performance and lead resolution of pipeline, contract, and data reliability issues.

Prasības

  • Bachelor’s degree in computer science, information systems, data engineering, data management, engineering, analytics, or a related discipline.
  • At least five years of experience in data engineering, data governance, data architecture, data product management, or enterprise data platform delivery.
  • Experience designing, building, or governing enterprise data pipelines, data products, data platforms, or data integration capabilities.
  • Hands-on experience with data contracts, schema validation, pipeline monitoring, data observability, or data product certification.
  • Experience in complex enterprise settings involving multiple data producers, consumers, vendors, platforms, and governance stakeholders.
  • An advanced degree or relevant certification in cloud, data engineering, data management, or architecture.
  • Experience supporting regulated, privacy-sensitive, or compliance-focused data environments.
  • Applicants choosing the preferred location must be able to access the East Hanover, New Jersey site.
  • Visa sponsorship is not available for this position.

Priekšrocības

  • Performance-based cash incentive.
  • May be considered for annual equity awards, depending on role level.
  • Health benefits.
  • Life benefits.
  • Disability benefits.
  • 401(k) plan with company contributions and matching.
  • Vacation.
  • Personal days.
  • Holidays.
  • Other leave options.
  • Reasonable accommodation for individuals with disabilities.

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