# Director - MES, Engineering, EHS & Sustainability products

**Company**: GSK
**Location**: Bengaluru
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Healthcare

**Apply**: https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/Bengaluru-Luxor-North-Tower/Director---MES--Engineering--EHS---Sustainability_449066?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4f709d1e-e05

## 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
- Agile Methodology
- Backlogs
- Cross-Functional Teamwork
- Design Thinking
- DevOps
- Process Diagrams
- Product Strategies
- Project Management
- Requirements Gathering
- Services Management
- Software Development
- User Experience (UX)
- User Research
- User Story

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