Project Manager/ AI Consultant

UnifyCloud

Sector 10

On-site

INR 1,200,000 - 2,400,000

Full time

5 days ago
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Job summary

UnifyCloud in India is seeking an experienced PMO/Project Manager to lead programme delivery. You will manage the project approach, build stakeholder buy-in, and align work with wider objectives.

You will partner with Technology and Product Owner teams to balance scope, schedule, resources, and budgets, drive Agile maturity, monitor risks, and report to steering committees. The role requires proactive self-starting leadership and strong communication.

Qualifications

  • Proven ability to plan, manage risks and escalate issues.
  • Experience delivering programmes across development, deployment and production.
  • Strong stakeholder management and communication skills.

Responsibilities

  • Manage project approach and secure stakeholder buy-in.
  • Support delivery by balancing scope, schedule, resources, dependencies and budgets.
  • Drive productivity via backlog management and Agile practices.
  • Report progress, issues, dependencies and risks to PMO/steering committees.
  • Enforce disciplined agile delivery and DevOps pipelines.

Skills

PMO Skills
Stakeholder Management
Agile Experience
Communication
Risk & Issues
Self-starter
Analytical Skills

Job description

ob Description:

Responsibilities
  • Managing the project approach, building stakeholder buy-in around the project plan, commitments and changes
  • Supporting Technology teams to manage delivery proactively, balancing scope, schedule, resourcing, dependencies, communications and budgets
  • Working with the Technology team and Product Owner to drive improvements in productivity through backlog management, maturity in the use of Agile methodologies (e.g. Scrum, Kanban, Lean), and corresponding management of dependencies
  • Providing management to maintain a focus on how the project aligns to wider programme objectives
  • Managing, monitoring and reporting progress, issues, dependencies and risks to the programme management, internal stakeholders and/or steering committees.
  • Enforcing process discipline and improvements in areas of expertise, such as disciplined agile software delivery, production support processes, or continuous DevOps pipelines development
  • Helping with the development and running of the programme management office or project management practice
  • Ensuring adherence to standard controls and drives teams to achieve compliance and framework, capability management, security controls and technology architecture designs
  • Establishing effective governance and controls, in line with Business Transformation Framework, and coordinating cross DevOps and cross Global Business/Global Functions delivery.
Essential Skills
  • Project Management / PMO skills e.g. Managing, leading and actively undertake planning, risks & issues management
  • Ability to deliver programmes including development, deployment and production
  • Strong stakeholder management skills and comfortable working alongside Lines of Business and group/regional delivery partners
  • Excellent interpersonal skills with strong communication skills both written and verbally
  • Experience working in Agile, or knowledge of the key principles of the methodology
  • Project Management / PMO experience
  • Self-starter, who can work pro-actively with minimum supervision
  • Highly developed analytical skills with a demonstration of being decisive and tenacious
Be Prepare with these points:-
  1. Azure Open AI and Azure AI Services: Understanding the functionalities and applications.
  2. Generative AI Technologies: Basics and business applications.
  3. Cloud Technologies: Focusing on Azure cloud services.
  4. AI in Project Management: How AI can be leveraged in managing projects.
  5. Prompt Engineering: Introduction and significance in AI projects.
  6. AI Applications in Healthcare, Banking, Manufacturing, Retail, and Finance: Relevant case studies or examples.
  7. AI Project Lifecycle: Understanding from conception to delivery.
  8. Technical Sales in AI: Key considerations and strategies.
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