Technical Project Manager

Description :

Urgent hiring for Technical Project Manager for Gurgaon Location.

Experience- 8-15 Yrs

Job Location- Gurgaon

Job Description :

Project Planning & Delivery Management :

- Define project scope, objectives, and success criteria in collaboration with business and technical stakeholders.

- Prepare detailed project plans, timelines, resource allocations, and risk registers.

- Manage end-to-end project execution from initiation to closure across multiple concurrent projects.

- Oversee technical delivery, ensuring milestones and deliverables align with architecture, data, and product goals.

- Track progress using Agile or hybrid frameworks, managing sprint cycles, releases, and dependencies.

- Ensure project delivery within scope, time, cost, and quality constraints.

Stakeholder & Communication Management :

- Serve as the primary liaison between engineering, product, leadership, and client teams.

- Conduct regular project governance meetings, including steering committee reviews, sprint reviews, and retrospectives.

- Present project health dashboards, risk assessments, and forecasts to senior management.

- Manage communication channels and documentation for all project stakeholders.

- Build and maintain strong relationships across internal and external partners.

Technical Understanding & Coordination :

- Collaborate with software engineers, architects, and data scientists to understand project technicalities and dependencies.

- Translate high-level technical requirements into actionable delivery milestones.

- Facilitate alignment across AI/ML, data, backend, and cloud teams, ensuring end-to-end system coherence.

- Review and validate technical feasibility, data architecture, and design decisions with relevant SMEs.

- Support teams in adopting modern tools, frameworks, and automation to improve delivery efficiency.

Risk, Budget & Resource Management :

- Maintain project budgets, resource forecasts, and utilization reports.

- Identify and manage project risks and mitigation strategies proactively.

- Oversee vendor contracts and third-party integrations where applicable.

- Ensure compliance with organizational standards, security policies, and quality processes.

Agile, Process & Performance Improvement :

- Promote Agile and Lean principles drive retrospectives and continuous improvement initiatives.

- Leverage tools like Jira, Confluence, MS Project, or Asana for delivery visibility and tracking.

- Build data-driven reporting systems for metrics such as velocity, burn rate, defect ratio, and delivery predictability.

- Mentor and guide team members in agile project management and technical execution best practices.

Required Skills & Qualifications :

Core Experience :

- 8 - 12 years of professional experience, with at least 5+ years in IT project management or delivery leadership roles.

- Proven track record of delivering software, AI, or data engineering projects in complex enterprise environments.

- Demonstrated ability to manage multi-disciplinary teams including developers, analysts, QA, data engineers, and data scientists.

- Strong knowledge of Agile, Scrum, and Waterfall methodologies, with hands-on hybrid delivery experience.

Technical Proficiency :

- Educational background in Computer Science, Information Technology, or Engineering (Bachelors or higher).

- Strong understanding of :

1. Software development lifecycle (SDLC)

2. Data platforms, APIs, and cloud technologies (AWS, Azure, GCP)

3. Data pipelines, ETL, or data governance principles

4. AI/ML workflows (model building, MLOps, deployment cycles)

- Familiarity with DevOps and CI/CD practices is a strong advantage.

Project Management Tools :

- Proficiency with Jira, Confluence, MS Project, Asana, or Monday.com for project planning and reporting.

- Competent with visualization and reporting tools (Excel, Power BI, Tableau preferred).

Certifications (Preferred) :

- PMP / PRINCE2 / CSM / PSM / PMI-ACP

- ITIL or SAFe certification (added advantage).

- Technical certification in Cloud / Data / AI domains preferred.

Preferred Experience :

- Experience in AI, Data Science, or Analytics-focused programs (e.g., predictive models, ML platforms, or data lakes).

- Exposure to enterprise transformation initiatives or CRM / Salesforce / ERP implementations.

- Experience in stakeholder management across multiple time zones and matrixed organizations.

- Proven ability to handle budgets exceeding $1M USD or large cross-functional teams (20+ people).