Technical Product Owner (R based)

• Liaise with Business and taking care of the key responsibilities

• Lead Backlog Refinement meetings
• Lead meetings with Business
• Discussion on Roadmap
• Requirement Eliciting
• Managing Backlog and Requirement prioritization

• Work with Dev team and taking care of key responsibilities

• Tracking Progress and Ensuring delivery
• Clarifying doubts of Dev team related to requirements understanding
• Contribute to Design level discussions

• Develop and maintain robust R scripts for data analysis, modelling, and reporting
• Utilize key R libraries such as:

• tidyverse (data manipulation and visualization)
• data.table (high-performance data processing)
• caret/mlr3 (machine learning)
• shiny (interactive dashboards)
• plumber (API development)

• Create reusable R modules and packages for internal use
• Configure and manage R environments across local, server, and cloud platforms
• Optimize R code for performance in distributed or containerized environments
• Ensure reproducibility and version control using tools like renv, packrat, or Docker
• Understand and apply containerization principles using Docker to package R applications
• Collaborate with DevOps teams to deploy R-based solutions in cloud environments (e.g., Azure, AWS, GCP)
• Support CI/CD pipelines for R scripts and dashboards
• Write and manage Linux shell scripts to automate R script execution
• Use cron jobs or Linux job schedulers (e.g., at, systemd timers) to schedule R tasks
• Monitor and troubleshoot scheduled jobs and system resource usage
• Work closely with data engineers, analysts, and cloud architects to ensure seamless integration
• Document R workflows, environment setup, and deployment procedures
• Provide training and support to junior team members on R and cloud basics
• Ensure compliance with data governance, security, and privacy standards
• Promote coding standards, testing, and peer reviews for R scripts
• Evaluate and recommend new tools or libraries to enhance productivity
• Working with development teams to facilitate package development and deployment
• Configuring and managing package sources, including mirrors and custom repositories
• Ensuring the availability and accessibility of packages to users

Must have: Senior SME with R expertise (R modules, libraries, execution environment) with expertise in cloud concepts- containerization, Linux job scheduler and HPC, 1. R (R Modules/ Libraries / Execution Environment) with expertise in cloud concepts- containerization

2. HPC Architecture
3. Basic of Linux
4. Microsoft Azure based Architecture
5. Python

Good to Have

1. Life Science domain understanding
2. Integration of Storage containers in R
3. Github