Job Detail

Senior Technical Project Manager

Senior Technical Project Manager
job location

Patna

Opening: 15-Jan-2025

Skills Required: Jira Administration, Cloud Platforms (AWS, GCP, Azure), DevOps Practices, AI/ML Projects, Data Governance, Security Standards (SOC 2, GDPR), Risk Tracking Tools, Technical Documentation, Agile Tools, Sprint Management

Experience Required: 7+ years of Experience in Technical Project Management

Educational Qualification: Bachelor’s degree in Computer Science, Engineering, or related field.

Employment Type: Full Time

Workplace Options: Work From Office

Opening Summary

We are seeking a Senior Technical Project Manager to lead complex projects, particularly in AI and cloud environments, ensuring smooth execution from planning to delivery. The ideal candidate will have a strong background in Agile project management, technical expertise in cloud and DevOps, and the ability to communicate effectively with both technical and non-technical stakeholders.

Requirements

  • 7+ years of experience in technical project management.
  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • Proven expertise in managing multiple projects using Jira.
  • Agile/Scrum certifications (CSM, PMI-ACP) preferred.
  • Familiarity with cloud environments (AWS, GCP, Azure) and DevOps practices.
  • Strong collaboration and communication skills with both executives and engineers.

Responsibilities

  • Project Planning & Execution: Develop and manage Jira project plans, sprints, and tasks, ensure project scope and goals align with project objectives.
  • Agile Leadership: Lead Agile ceremonies including daily stand-ups, sprint planning, and retrospectives, remove blockers, and drive continuous improvement.
  • Stakeholder Management: Collaborate with technical teams, product owners, and clients, provide clear project updates, risk assessments, and mitigation plans.
  • Risk & Issue Management: Identify and mitigate risks early to avoid project delays, track issues in Jira, maintaining transparency across teams.
  • Resource Coordination: Work with Engineering, QA, and DevOps teams to manage resources effectively, balance workloads to ensure timely project completion.
  • Quality Assurance & Delivery: Ensure deliverables meet technical and business requirements, champion process improvements, and conduct post-project retrospectives.

Preferred Qualification

Experience with AI/ML projects and data governance. Knowledge of security standards like SOC 2 and GDPR in enterprise environments.