Technical Project Manager

Description :Urgent hiring for Technical Project Manager for Gurgaon Location.Experience- 8-15 YrsJob Location- GurgaonJob 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 principles4. 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). (ref:hirist.tech)