Technical Project Manager

300plus Innovative Solutions; Dadri, Gurugram District, Delhi; On-site; INR 2,000,000 - 3,200,000; Full time

Job summary

ScikIQ Data Private Limited in Gurugram is seeking a Technical Project Manager to lead complex data-focused initiatives across engineering, data, QA, DevOps and analytics teams. You will own delivery from requirements through deployment, working closely with architects and stakeholders to ensure successful outcomes.

The role emphasizes Agile/Scrum practices, risk management, and clear communication with clients and internal teams, with responsibility for timelines, budgets, and quality across

Qualifications

• Five+ years of experience in IT project management and technical delivery.
• Experience managing end-to-end technical projects with multiple engineering teams.
• Solid understanding of data engineering concepts and ML/AI initiatives is a plus.

Responsibilities

• Own end-to-end project delivery from requirements to post-production support.
• Define scope, milestones, deliverables, timelines, budgets and resources.
• Manage multiple projects ensuring timely, quality delivery.
• Identify risks and dependencies; implement mitigation plans.
• Track progress against milestones, SLAs and budgets.
• Lead agile ceremonies and coordinate cross-functional teams.

Skills

End-to-end project delivery

Agile/Scrum

Stakeholder management

Cloud platforms knowledge

Education

Bachelor's or Master's degree in Computer Science, IT, Engineering

Tools

Jira

Confluence

Azure DevOps

MS Project

Job description

Job description: Technical Project Manager

Location: Gurugram

Work Mode: Work from Office (5 days a week)

Experience: 815 Years

Employment Type: Full-Time

About ScikIQ

ScikIQ Data Private Limited is a technology company focused on enterprise data platforms, data integration, data governance, analytics, and AI-driven solutions. Its platform helps organisations unify data from multiple sources, improve data quality and governance, and make enterprise data more accessible for analytics and AI applications.

Key Responsibilities

• Own end-to-end project delivery, from requirement gathering and planning to development, testing, deployment, and post-production support.
• Define project scope, objectives, milestones, deliverables, timelines, resource requirements, and budgets.
• Manage multiple projects or workstreams simultaneously while ensuring timely and quality delivery.
• Identify project risks, dependencies, bottlenecks, and scope changes; implement mitigation plans proactively.
• Track project progress against agreed milestones, SLAs, budgets, and delivery commitments.

Technical Project Management

• Work closely with Solution Architects, Data Engineers, Software Developers, QA Engineers, DevOps, and other technical teams.
• Understand technical requirements, solution architecture, data flows, system integrations, APIs, and cloud infrastructure.
• Oversee projects involving data integration, ETL/ELT pipelines, data platforms, data warehousing, BI/analytics, and AI-enabled solutions.

Client & Stakeholder Management

• Act as the primary point of contact for clients and internal stakeholders throughout the project lifecycle.
• Conduct project kick-off meetings, requirement discussions, sprint reviews, status meetings, and steering committee meetings.

Agile & Team Management

• Lead Agile/Scrum ceremonies, sprint planning, daily stand-ups, backlog reviews, retrospectives, and release planning, where applicable.
• Manage project teams across engineering, data, QA, DevOps, and business functions.
• Coordinate resource allocation, workload prioritisation, and cross-team dependencies.
• Remove delivery blockers and promote collaboration, accountability, and continuous improvement.
• Track project metrics such as sprint velocity, defect trends, delivery predictability, and team utilisation.

Required Skills & Qualifications

• 815 years of overall experience in IT project management, technical delivery, software development, data engineering, or related technology roles.
• Demonstrated experience managing end-to-end technical projects involving multiple engineering teams.
• Strong understanding of data engineering concepts, ETL/ELT, data pipelines, data warehouses, data lakes/lakehouses, and system integration.
• Working knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
• Understanding of APIs, microservices, databases, software development lifecycle, CI/CD, and application deployment.
• Familiarity with modern data and analytics technologies such as Snowflake, Databricks, SQL, Power BI, or equivalent platforms.
• Exposure to AI/ML, Generative AI, or enterprise AI solutions is an advantage.
• Strong understanding of Agile/Scrum, Waterfall, project governance, risk management, and delivery methodologies.
• Experience using project management tools such as Jira, Confluence, Azure DevOps, MS Project, or equivalent.
• Excellent client-facing communication, stakeholder management, negotiation, and problem-solving skills.
• Ability to understand technical discussions, challenge assumptions, identify risks, and make informed delivery decisions.

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• PMP, PMI-ACP, CSM, PSM, or equivalent project management certification.
• Experience in a technology services, consulting, SaaS, or product engineering organisation.
• Key expectation: End-to-end ownership of project delivery, technical coordination, client communication, team management, and delivery outcomes.