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From the employer's careers site First seen 2 Nov 2026

Director - MES, Engineering, EHS & Sustainability products

GSK Bengaluru senior full-time

The employer hasn't listed a salary.

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Description

Enterprise Systems is the backbone of GSK's internal operations in Digital & Tech, enabling GSK Global Functions teams to run seamlessly. This team designs and delivers cutting-edge digital platforms that power critical processes, ensuring efficiency, compliance, and scalability across the enterprise.

The Director - MES, Engineering, EHS & Sustainability products is responsible for ensuring the stable, compliant, and reliable operations of core systems and platforms within their domain. The role oversees day-to-day platform operations and ensures that processes are followed, risks are managed, and changes are delivered safely.

Key Responsibilities:

  • Provide operational leadership across core platforms, ensuring system stability, availability, and adherence to service levels.
  • Govern incident, problem, change, configuration, and release processes for domain platforms, ensuring operational compliance with ITSM policies and control frameworks.
  • Define and maintain service readiness and runbook quality standards.
  • Set the service vision and roadmap for the domain platforms with the Product Owners.
  • Monitor platform performance, proactively identifying risks, trends, and recurring issues.
  • Coach service owners and operations staff in incident, problem and change practice.
  • Report platform adoption and business-outcome measures alongside service KPIs.
  • Coordinate with Platform Owners, engineering squads, solution architects, and service teams to ensure changes are deployed safely.
  • Lead operational readiness assessments, ensuring documentation, support models, monitoring coverage, and non-functional controls are in place prior to deployment.
  • Own operational dashboards, KPIs, and reporting for the platforms.
  • Oversee root cause analysis for major incidents, ensuring sustainable fixes.
  • Maintain and continuously improve operational documentation.
  • Manage relationships with third-party vendors and managed service providers.
  • Scan emerging service-management and monitoring capability, trial the best candidates and bring a ranked opportunity list into the product roadmap.
  • Own the operational service model for production AI and generative AI solutions.
  • Define and approve AI service-readiness criteria before go-live.
  • Govern incidents, problems, changes, releases and configurations involving AI models.
  • Ensure AI-specific service risks and failures are investigated and sustainably remediated.
  • Lead your team in using approved AI tools to improve productivity and ways of working.

Basic qualifications:

  • Bachelor's or Master's degree in a relevant field.
  • Typically, 8–10 years of experience in platform operations, system administration, service management, or technical delivery roles.
  • Industry certifications highly desirable.
  • Platform operations, service management, ITSM processes, cloud technologies, and core enterprise system administration.
  • Understanding system integration, monitoring, and operational control frameworks.
  • Working knowledge of MES, engineering or EHS & Sustainability processes.
  • Significant experience overseeing operational performance for multiple platforms.
  • Demonstrated ability to manage ITSM processes.
  • Proven ability to diagnose operational issues, lead root cause analysis, and drive sustainable improvements.

Preferred qualifications:

  • Strong analytical and problem-solving capability.
  • Excellent communication and stakeholder management skills.
  • Strong understanding of security, compliance, and operational risk controls.
  • Ability to lead cross-functional teams, influence without direct authority.
  • Effective organisational skills.
  • Practical understanding of generative AI, large language models, machine learning.
  • Understanding of AI service monitoring.
  • Ability to apply ITSM disciplines to AI services.
  • Strong understanding of responsible AI, cybersecurity, privacy, data integrity.

Skills

Required

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