# Automation Platform Architecture Director

**Company**: GlaxoSmithKline (GSK)
**Location**: Bengaluru
**Experience**: executive
**Job type**: full-time
**Category**: Engineering
**Industry**: Healthcare

**Apply**: https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/Bengaluru-Luxor-North-Tower/Director---Automation-Platform-Architect_449191?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_fd181fbd-dce

## Description

GSK remains committed to achieving bold commercial ambitions for the future. By 2031, we aim to deliver £40 billion in annual sales, leveraging our existing strong performance momentum to significantly increase our positive impact on the health of billions of patients globally.

The Automation Platform Architecture Director owns the architecture of the Automation Acceleration Hub domain, setting the target architecture, reference designs and standards, leading the architecture team, and ensuring the domain is coherent, secure and aligned to enterprise architecture.

**Key Responsibilities**

- Own the automation platform domain target architecture, standards and reference designs, aligned to DPTF strategy and to enterprise architecture.

- Lead the architecture team across the automation domain, managing performance, capability development and succession.

- Own the design assurance process for the automation domain, setting what must be reviewed, by whom, and against which standards.

- Embed AI patterns into the automation domain architecture, so that AI-assisted delivery and intelligent operations are designed in rather than added later.

- Architect for reliability and resilience by design across the automation domain, supporting the SLOs the domain commits to.

- Ensure security and compliance, including GxP where relevant, are designed into automation platforms and workflows rather than inspected in afterwards.

- Guide technology selection and modernisation across the automation domain (e.g. RPA, orchestration, agent tooling), measuring outcomes against architecture OKRs.

- Set the architecture standards that supplier and managed-service automation solutions in the domain must meet.

- Align the automation domain to enterprise architecture and technology strategy, negotiating exceptions through Enterprise Architecture rather than around it.

- Advise the Head of Platform Domain on architectural risk, technical debt and the investment needed to address either.

- Increase pattern reuse and reduce rework across automation initiatives, evidencing both with measures rather than assertion.

- Hold the boundaries with the Platform Architects on individual automation designs, the Engineering Director on build and delivery, and Enterprise Architecture on enterprise standards.

**Professional Qualifications**

- Degree in a technology or engineering discipline, or equivalent practical experience (e.g., Computer Science, Software Engineering, Information Systems).

- Architecture certifications desirable (e.g., TOGAF, or recognised cloud or network architecture certification relevant to the domain).

**Area of Specialisation**

- Domain architecture leadership, covering target architecture, standards, reference designs and design assurance governance.

- Architecture team leadership, covering capability development, design review practice and enterprise negotiation.

**Experience Required**

- Overall, 18 years and 10-12 years in technology architecture, including at least three years leading an architecture team with line responsibility.

- Experience owning a target architecture at domain or equivalent scale, not solely at solution level.

- Track record running design assurance governance, including holding a standard against delivery pressure.

- Experience architecting for reliability, resilience and security at scale, working to SLOs and error budgets.

- Experience setting architecture standards for supplier and managed-service delivery and enforcing them.

- Practical experience with AI patterns for assisted delivery and intelligent operations at architecture level.

**Skills/Background**

- Executive communication, translating architectural risk into investment and consequence for non-architects.

- Leadership of technical specialists, including developing architects who are strong individually but new to influence.

- Judgement about when the domain should diverge from enterprise standards and how to get that agreed properly.

- Ability to hold a standard when delivery timelines argue against it, without becoming an obstacle.

- Commercial awareness when directing supplier and vendor architecture decisions.

- Comfort making the cost of technical debt visible to leadership rather than absorbing it quietly.

## Skills

### Required
- AI Frameworks
- Algorithm Optimization
- Artificial Neural Networks (ANNS)
- Computer Programming
- Deep Learning
- Feature Engineering
- Google Cloud Platform (GCP) for Machine Learning
- Machine Learning (ML)
- Machine Learning Operations
- Microsoft Azure Data and AI
- ML Frameworks
- Model Evaluation
- Model Training
- Model Validation
- Performance Optimizations
- Product Management
- Robotics
- Software Development Life Cycle (SDLC)
- Solutioning
- Technical Delivery

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