Assistant Director
2 weeks ago
COMPANY DESCRIPTION
DESIGNATION : Assistant Director / Senior Assistant Director (IT Project Management )
RESPONSIBILITIES
**Key Responsibilities**:
- Project Planning and Initiation:
- Define project scope, objectives, and success criteria related to AI, data transformation, and machine learning initiatives.
- Collaborate with stakeholders to assess project feasibility, identify key requirements, and determine resource needs.
- Develop comprehensive project plans, timelines, and budgets, considering potential risks and mitigation strategies.
- Team Leadership and Management:
- Assemble and lead a multidisciplinary project team, including data scientists, AI specialists, developers, and other relevant professionals, both internal and external to the organization.
- Delegate tasks, set clear responsibilities, and ensure effective communication within the team.
- Motivate team members, monitor their progress, and provide coaching and support to facilitate their success.
- Stakeholder Engagement:
- Engage with stakeholders at all levels, including executives, department heads, and end-users, to understand their requirements and expectations.
- Communicate project progress, challenges, and outcomes to stakeholders in a clear and concise manner.
- Address any concerns or conflicts that may arise during project execution.
- Risk Management:
- Identify potential risks and issues related to the project and develop risk mitigation plans.
- Regularly monitor project progress and address any deviations from the plan promptly.
- Implement contingency measures as needed to ensure project success.
- Resource Management:
- Coordinate with the resource management team to ensure the availability of required tools, technology, and infrastructure for project execution.
- Optimize resource allocation to maximize project efficiency and cost-effectiveness.
- Quality Assurance:
- Establish quality standards and metrics for project deliverables.
- Conduct regular reviews to ensure that the project meets the defined quality standards.
- Implement continuous improvement measures based on feedback and lessons learned.
- Reporting and Documentation:
- Maintain comprehensive project documentation, including project plans, status reports, and meeting minutes.
- Prepare regular progress reports and present updates to project stakeholders and senior management.
- Post-Implementation Support and Evaluation:
- Oversee the implementation of AI, data transformation, and machine learning solutions.
- Facilitate post-implementation evaluation to measure the success of the projects against predefined objectives.
- Identify opportunities for further improvement and future enhancements.
QUALIFICATIONS
- Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field.
- Proven experience as a Project Manager in the context of digital transformation, AI, data transformation, or machine learning projects.
- Familiarity with Agile and Waterfall project management methodologies.
- Strong leadership and interpersonal skills, with the ability to communicate effectively with technical and non-technical stakeholders.
- Excellent problem-solving, decision-making, and organizational abilities.
- Proven track record in delivering projects on time and within budget.
- Passion in keeping up with technical innovation and trends in AI and machine learning.
- Project Management Professional (PMP) or other relevant certifications are advantageous.
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