Senior Manager - EDCO,Test Automation & Assurance

What you will do

Lets do this. Lets change the world. In this vital role you will closely collaborate with counterparts in US, and oversee the architecture, design, delivery and maintenance of test automation scripts, SRE runbooks, and cloud cost optimization scripts for data platforms and pipelines critical to Amgens data and AI ambitions. The Senior Manager will work with multi-functional teams, including data engineering teams, platform owners, cloud teams and business collaborators, to ensure balanced operations, excellent test quality and optimized cloud spend. A key aspect of this role involves extensive experience with Amazon Web Services (AWS) and Databricks, a unified data analytics platform, to optimize big data processing, data integration, and machine learning workflows.

You will be the Enterprise Engineering & Analytics' India Subject area leader for SREs, Automation Engineers and Cloud Engineers with roughly half of your role as management and mentorship and the other half execution as a product manager in a product team.

Roles & responsibilities

• Develop and manage the strategic roadmap for Amgens data cloud (AWS, Databricks) cost optimization strategies, data pipeline and data application test automation and SRE Assurance services
• Lead and mentor a team of cloud engineers, test automation engineers, SREs, and platform specialists, fostering a culture of continuous improvement, collaboration, and innovation.
• Collaborate and partner to strengthen Cloud FinOps management, data and application quality, software quality, and production reliability & assurance.
• Be responsible for the architecture, design, and implementation of data cloud cost optimization scripts, test automation harnesses, and SRE tools and practices.
• Ensure the data platforms and pipelines are optimized for performance, cost, reliability and security, adhering to industry standard methodologies and regulatory requirements.
• Ensure the platforms and pipelines stay up to date with the latest advancements in hardware and software updates for performance, cost, efficiency and reliability (AWS instance families, Databricks DBR runtimes, new product features, etc)
• Stay current with industry trends, emerging technologies, and standard methodologies in data platform management, particularly with AWS and Databricks.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications:

• Masters degree and 8 to 10 years of Business, Information Technology, Computer Science, or a related field and 10 years of relevant work experience OR
• Bachelors degree and 10 to 14 years of Business, Information Technology, Computer Science, or a related field and 10 years of relevant work experience OR
• Diploma and 14 to 18 years of Business, Information Technology, Computer Science, or a related field and 10 years of relevant work experience

Preferred Qualifications:

• 4+ years of experience in managing enterprise scale cloud platforms, test automation engineering or SRE teams for data platforms or applications.
• Experience with one or more of AWS/Azure, Databricks or Snowflake
• Strong understanding of Cloud Infrastructure, Data and AI platforms, Data Warehouse, and data pipeline concepts and practices.
• Strong understanding of cloud infrastructure and data pipeline performance and cost factors, and experience in optimizing costs.

Good-to-Have Skills:

• Excellent leadership and project management skills, with the ability to manage multiple priorities simultaneously
• Strong analytical and problem-solving skills, with the ability to make data-driven decisions and optimize platform cost and performance.
• High attention to detail is essential with critical thinking ability
• Outstanding collaboration and communication skills, with the ability to engage effectively with both technical and non-technical stakeholders.