Skip to main content

IT Project Manager

 

What is an IT project manager?

An IT project manager is a professional charged with overseeing the process of planning, executing and delegating responsibilities around an organization's information technology (IT) pursuits and goals.

IT project managers may work in a variety of industries, as nearly all organizations rely on computing technologies. Some organizations establish IT project management offices (PMOs) to guide the completion of large-scale initiatives.

What does an IT project manager do?

An IT project manager should support business directives associated with specific initiatives and assign resources based on those goals. As project participants are often spread across different offices and teams, the role of the IT project manager is to ensure that projects are delivered smoothly on-time and on-budget with minimal interruptions in work.

The types of projects an IT project manager may be responsible for include the following:

  • software development
  • mobile application development
  • web development
  • database management
  • backup and recovery
  • cloud migration
  • software implementation
  • hardware installation
  • network configuration
  • infrastructure management

IT project manager tasks may include the following:

  • project planning, setting goals, project milestones and completion plans;
  • maintaining schedules and budgets for each project;
  • managing team members;
  • distributing tasks to project team members;
  • presenting project plans;
  • tracking the progress and performance of team members;
  • assessing and taking proper action to account for risk; and
  • leading meetings between teams and other stakeholders.

How do you become an IT project manager?

IT project manager positions typically require a mix of technical and soft skills. While a strong technical background is necessary, job descriptions also ask for non-technical skills such managing tasks, schedules and providing detailed plans.

Education requirements. To be considered for an IT project manager position, candidates should have at least a bachelor's degree in computer science, IT or a related field. While some positions may accept candidates with an associate degree or the equivalent experience, a bachelor's degree is typically preferred.

Advanced degrees in business management or professional project management certifications, such as project management professional (PMP) or the Certified ScrumMaster from Scrum Alliance, may be required or preferred by employers.

Skills. Employers are generally looking for candidates with the following technical and soft skills:

  • an advanced knowledge of computers, computer systems, software and network technology;
  • communication and leadership skills;
  • analytical problem-solving skills;
  • proven project management skills;
  • familiarity with one or more project management methodologies; and
  • organization and time management skills;

IT project management methodologies

IT project managers often use project management methodologies or frameworks to guide practices. Popular project management methodologies used for IT projects include the following:

  • Agile. This framework relies on short delivery cycles. It is often employed for projects where speed and flexibility are prioritized.
  • Waterfall methodology. Work flows sequentially between defined phases and work stations. In the Waterfall model, work only moves to the next phase after completion of the previous phase.
  • Scrum. Scrum places a focus on transparency, inspection and adaptation. Scrum encourages iterative progress, accountability and teamwork. Work is broken down into short "sprints."
  • PRINCE2. Involves lots of early-stage planning. This project management framework combines practices from a variety of backgrounds and industries.
  • Traditional project management. Draws principles from the Project Management Body of Knowledge (PMBOK) guide, designed around three phases of a project: inputs, tools and techniques, and outputs.
  • Lean. Focuses on reducing unnecessary waste in resources and optimizing processes for efficiency.


Comments

Post a Comment

Popular posts from this blog

Understanding the Evolution: AI, ML, Deep Learning, and Gen AI

In the ever-evolving landscape of artificial intelligence (AI) and machine learning (ML), one of the most intriguing advancements is the emergence of General AI (Gen AI). To grasp its significance, it's essential to first distinguish between these interconnected but distinct technologies. AI, ML, and Deep Learning: The Building Blocks Artificial Intelligence refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. Machine Learning, a subset of AI, empowers machines to learn from data and improve over time without explicit programming. Deep Learning, a specialized subset of ML, involves neural networks with many layers (hence "deep"), capable of learning intricate patterns from vast amounts of data. Enter General AI (Gen AI): Unraveling the Next Frontier Unlike traditional AI systems that excel in specific tasks (narrow AI), General AI aims to replicate human cognitive abilities across various domains. I...
Post a Comment
Read more

Normalization of Database

Database Normalisation is a technique of organizing the data in the database. Normalization is a systematic approach of decomposing tables to eliminate data redundancy and undesirable characteristics like Insertion, Update and Deletion Anamolies. It is a multi-step process that puts data into tabular form by removing duplicated data from the relation tables. Normalization is used for mainly two purpose, Eliminating reduntant(useless) data. Ensuring data dependencies make sense i.e data is logically stored. Problem Without Normalization Without Normalization, it becomes difficult to handle and update the database, without facing data loss. Insertion, Updation and Deletion Anamolies are very frequent if Database is not Normalized. To understand these anomalies let us take an example of  Student  table. S_id S_Name S_Address Subject_opted 401 Adam Noida Bio 402 Alex Panipat Maths 403 Stuart Jammu Maths 404 Adam Noida Physics Updation Anamoly :  To upda...
Post a Comment
Read more

How to deal with a toxic working environment

Handling a toxic working environment can be challenging, but there are steps you can take to address the situation and improve your experience at work: Recognize the Signs : Identify the specific behaviors or situations that contribute to the toxicity in your workplace. This could include bullying, harassment, micromanagement, negativity, or lack of support from management. Maintain Boundaries : Set boundaries to protect your mental and emotional well-being. This may involve limiting interactions with toxic individuals, avoiding gossip or negative conversations, and prioritizing self-care outside of work. Seek Support : Reach out to trusted colleagues, friends, or family members for support and advice. Sharing your experiences with others can help you feel less isolated and provide perspective on the situation. Document Incidents : Keep a record of any incidents or behaviors that contribute to the toxic environment, including dates, times, and specific details. This documentation may b...
Post a Comment
Read more