Role Details

• Role / Job Title: Technical Product Owner (R based)
• Mode of Working: Onsite

The Role

Technical Product Owner (R based)

Must have: Senior SME with R expertise (R modules, libraries, execution environment) with expertise in cloud concepts- containerization, Linux job scheduler and HPC

Your Responsibilities

• 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

Your Profile

Essential Skills / Knowledge / Experience

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

Additional Details

• Desired Experience Range: 15+ yrs.
• No of Requirements: 1