Requirements
- Bachelor degree preferably in the fields of engineering
- Data Science/Machine Learning/AI/Big data experience and professional background is mandatory.
- 4+ years of hands-on experience in machine learning projects with a team size of 5-10 resources.
- 4+ years of working experience as a project/program manager in the information technology sector. 2+ years of large team (team size above 15) handling experience is mandatory.
- Overall experience: 5 - 9 years
- Excellent client-facing and internal communication skills
- In-depth organizational skills including attention to detail and multi-tasking skills
- Ability to work under pressure and tight deadlines with efficient prioritization of tasks / activities, etc.
- Proficiency using JIRA as a project management tool is must
- Experience using JIRA Confluence is preferable/good to have
- PMP Certification is PLUS
Responsibilities
- Ensure planning, monitoring, controlling and constantly measuring the plan and compare those metrics against the plan.
- Change management - Adjust resources to accommodate change
- Develop and implement project management standards (Using JIRA). Ensure that all the project members understand and follow existing standards and processes.
- Monitor, Measure and ensure mitigation of risks involving relevant stakeholders throughout the execution of the project
- Assist in the documentation of user's requirements, development of user stories, estimates and work plans.
- Prepare reports, manuals and other documentation on the status, operation and maintenance of applications.
- Continuously improve project management methodologies (JIRA, Confluence). Provide expertise and consulting to project members especially in team dynamics, team building, group motivation, etc.
- Ensure sign-off on project scopes and objectives by involving all relevant stakeholders and ensuring technical feasibility by tech leads.
- Show flexibility to respond to the changing needs of the business. Coordinate internal resources and third parties/vendors for the flawless execution of projects. Ensure resource availability and allocation
- Develop a detailed project plan to track progress. Measure project performance using appropriate systems, tools and techniques
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