Job Summary:
* We are seeking a highly organized and technically proficient Senior Release Manager to lead and coordinate the deployment of Power BI solutions and data pipelines across multiple environments.
* This role requires a strong understanding of both manual deployment processes and automated CI/CD pipelines, ensuring seamless, secure, and timely releases.
Key Responsibilities:
* Own and manage the end-to-end release lifecycle for Power BI reports, datasets, and data pipelines (e.g., Azure Data Factory, AWS Glue).
* Coordinate and execute manual deployments when automation is not feasible, ensuring accuracy and rollback readiness.
* Design, implement, and maintain automated deployment pipelines using tools like Azure DevOps, GitHub Actions, or Jenkins.
* Collaborate with development, QA, and infrastructure teams to ensure deployment readiness and environment stability.
* Maintain detailed release documentation, schedules, and change logs.
* Monitor deployments for performance, failures, and compliance with governance standards.
* Drive continuous improvement in release processes, automation, and tooling.
* Ensure alignment with data governance, security, and compliance policies.
Required Skills:
* Proven experience managing Power BI deployments (including workspaces, datasets, and reports).
* Strong understanding of data pipeline deployment using tools like Azure Data Factory, AWS Glue, or Apache Airflow.
* Hands-on experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins).
* Proficiency in scripting (PowerShell, Python, or Bash) for deployment automation.
* Experience with manual deployment processes, rollback strategies, and change management.
* Familiarity with version control systems (e.g., Git).
* Excellent communication, coordination, and documentation skills.
Preferred Qualifications:
* Bachelor’s or master’s degree in computer science, Information Systems, or related field.
* Experience with Power BI REST APIs, Tabular Editor, or deployment pipelines.
* Knowledge of cloud platforms (Azure, AWS) and infrastructure as code (e.g., Terraform).
* Exposure to Agile/Scrum methodologies and release planning.