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
1. Project Planning & Delivery

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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.
2. Technical Project Management
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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.

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Facilitate technical discussions, architecture reviews, design decisions, and issue




resolution with engineering teams.
Ensure adherence to coding standards, testing practices, deployment processes,
security requirements, and technical documentation.
3. Client & Stakeholder Management
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Act as the primary point of contact for clients and internal stakeholders throughout
the project lifecycle.
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Conduct project kick-off meetings, requirement discussions, sprint reviews, status
meetings, and steering committee meetings.
4. Agile & Team Management
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Lead Agile/Scrum ceremonies, sprint planning, daily stand-ups, backlog reviews,
retrospectives, and release planning, where applicable.
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Manage project teams across engineering, data, QA, DevOps, and business functions.
Coordinate resource allocation, workload prioritisation, and cross-team
dependencies.
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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
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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.

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Familiarity with modern data and analytics technologies such as Snowflake,
Databricks, SQL, Power BI, or equivalent platforms.
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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.
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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
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Bachelor's or Master's degree in Computer Science, Information Technology,
Engineering, or a related discipline.
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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.

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