Project Manager / Business Analyst

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Indore, Madhya Pradesh, IND
In-Office
Artificial Intelligence • Cloud • Database • Analytics
The Role
About the Role

At Ccube, we’re looking for a IT Project Manager who can lead projects from vision to delivery — someone who blends strategic thinking with hands-on execution.

You’ll be the bridge between business goals and technical delivery, collaborating with clients and internal teams to ensure every project runs smoothly, adds value, and aligns with our innovation-driven culture.

If you love connecting dots between people, process, and product — this role is for you.
IT Project Manager

Nashua, NH (Hybrid-Remote)
 
Full Time
Exp Level--- 8-12 Years
Job Summary:We are seeking a highly organized and detail-oriented IT Project Manager to lead and manage the successful delivery of complex technical projects. This role requires a strong understanding of project management methodologies, software development life cycles, and technical concepts. The Technical Project Manager will collaborate closely with cross-functional teams, including engineering, product, QA, and operations, to ensure projects are completed on time, within scope, and within budget.
 
Key Responsibilities:
  • Plan, coordinate, and manage end-to-end project activities, timelines, and deliverables
  • Work with stakeholders to define project scope, objectives, and technical requirements
  • Develop detailed project plans, resource allocation, and risk mitigation strategies
  • Facilitate communication between engineering teams and business stakeholders
  • Track progress and provide regular status reports to leadership and stakeholders
  • Manage change requests and adjust project plans accordingly
  • Ensure quality assurance and compliance with technical standards
  • Identify and resolve project roadblocks and issues proactively
  • Support Agile/Scrum ceremonies (e.g., sprint planning, retrospectives)
  •  Foster a culture of continuous improvement, collaboration, and accountability
Required Qualifications:
  • 8-12 years of experience in project management.
  • Experience managing software development or IT infrastructure projects
  •  Strong knowledge of project management tools (e.g., Jira, Asana, MS Project)
  • Experience with Agile/Scrum and Waterfall methodologies
  • Excellent communication, leadership, and problem-solving skills
  • Ability to understand and translate technical concepts into actionable plans
  • PMP, PRINCE2, or Agile certifications (preferred but not mandatory)
  • Experience working with cross-functional and global teams
Preferred Skills:·         Familiarity with cloud platforms (AWS, Azure, GCP)
·         Background in software engineering or systems architecture
·         Experience working with remote and cross-functional teams


 

What We Offer
  • A collaborative and growth-focused work culture.
  • Exposure to global clients and full lifecycle product delivery.
  • Competitive compensation and career advancement opportunities.
  • A flexible, innovation-driven hybrid setup.
     

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The Company
Cupertino, California
9 Employees
Year Founded: 2022

What We Do

Driving Innovation through Advanced Data and AI Services. We offer next-level data and AI services to help you transform your data into actionable insights for a competitive edge. To augment your teams, we offer full-time/contract resources & consulting, design and development services for turnkey projects in the following areas: 01 DATA MODERNIZATION Define Cloud strategy, architecture & roadmap Identify current landscape & catalog data sources Data warehouse design & setup Develop data governance & data quality framework Implement data management technologies Build data analytics capabilities Inculcate data driven culture A future-ready framework to serve all business use cases 02 DATA INTEGRATION & CLOUD MIGRATION Design & develop Optimized data models and data pipelines ETL/ELT workloads & monitoring Processes that scale up and down without performance problems Automate data migration between upstream/downstream (on-prem) systems and Cloud 03 DATA ANALYTICS & AI Data analytics consulting – use-case exploration and building analytics roadmap Data preparation and creating a single version of truth Dashboard & report development AI/ML model selection and development AI/ML model tuning and validation AI/ML model scaling, integration and deployment

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