Job Title: Lead Specialist Cloud FinOps

Work Location: Bangalore, India (Hybrid),

Working Shift: USA (6:30 PM IST to 3:30AM IST)

As a Senior Cloud FinOps Engineer for Pearson, you will join Pearson's Cloud FinOps team, working as part of a global Centre of Excellence focused on cloud cost transparency and optimisation across a multi-cloud estate. You will be responsible for collecting and analyzing data to provide Cloud financial insights critical to our success as a business.

Required Responsibilities include, but not limited to:

• Produce reports for multi-cloud platforms that can be shared with and actioned by Management and Senior Leaders.

• Work effectively with cross-functional teams globally, assimilating requirements, driving results in the form of data insights and building strategic partnerships.

• Support the FinOps team with setting goals/KPIs, retrieving data and modeling

• Partner with our Cloud Governance team to map data process flows, allowing FinOps to gather a single source of data.

• Analyze and forecast cloud hosting costs.

• Provide cost optimization recommendations.

• Create and maintain month-end and quarter-end reports.

• Use Agile methodology for planning and execution.

• Use tools and technology to make data driven decisions.

• Collecting requirements for targeted automation projects; exploring potential solutions based on fit, up-skilling need, team skillsets, cost, and current and long-term strategies

Required Skills

• Python Data Analytics Skills

• PowerBI Development

• Cloud platform experience (Azure, AWS or GCP)

• Cloud billing and cost management tools

• FinOps commitment plan strategies such as enterprise-wide discount programs and commitment plans (Reserved Instances, Savings Plans, Spot, Sustained Use/Committed Use Discounts)

• Agentic AI Experience

• Advanced Excel

• Financial principles and business analytics.

• Cross-functional and global team collaboration

• Self-starter who can also work independently and with a team to deliver superior customer service

• Understanding of applications development environment, database, data management and infrastructure capabilities and constraints.

• Ability to analyze and produce meaningful insights from large datasets

• Strong analytical background with an aptitude for understanding technology

• Nice to have skills

• Experience with 3rd party cloud cost optimization tools like Cloudability

• Understanding of database and big data management capabilities and constraints like RDBMS, NoSQL, Datalake, etc.

• Experience managing or developing automation with object-oriented programming languages like Java or Python and understanding of appropriate use

• Experience with the AWS Cloud platform and leveraging appropriate AWS services (e.g. S3, Lambda) as part of development of automated solutions.

• Experience leveraging REST API for extracting and/or posting data

• Understanding of building and deploying Agentic solutions

• Azure, GCP or AWS Certifications

Qualifications

Education (or equivalent work experience)

• Undergraduate or master's degree in computer science, management information systems, data analytics or similar

+7 years of experience in IT (Business Analytics, Project Management or Technology Finance)

Growth Opportunities exist for cross-training on AWS, Azure, and GCP platforms, and support for FinOps Foundation certification.