As a seasoned project leader with a strong track record in planning and executing complex technology initiatives, I specialize in driving end-to-end delivery of AI and analytics solutions. I define clear project scopes aligned with business goals, manage cross-functional teams, and ensure timely, budget-conscious outcomes using both Agile and Waterfall methodologies. With deep expertise in stakeholder management, I translate business requirements into technical execution while maintaining strong client engagement. I lead high-performing teams in architecting scalable and secure solutions, and proactively manage risk and quality through structured oversight and post-project reviews to ensure continuous improvement.
Project Planning and Execution
- Define project scope, objectives, and deliverables in alignment with business goals
- Develop detailed project plans, including timeline, resource allocation, risk assessment, and budget management
- Monitor project progress, manage changes, and ensure on-time, on-budget delivery
- Implement best practices for project management, including Agile and Waterfall methodologies
Stakeholder Management
- Collaborate with clients to understand business requirements and translate them into technical solutions
- Communicate project status, milestones, and risks to stakeholders, ensuring alignment across teams
- Manage stakeholder expectations, resolve conflicts, and maintain strong client relationships
Team and Technical Leadership and Oversight
- Lead technical teams in designing and deploying cognitive and analytics solutions, including AI models, data pipelines, and visualization tools
- Ensure solutions are scalable, secure, and aligned with client architectures
- Collaborate with architects and data scientists to address technical challenges and optimize performance
Risk and Quality Management
- Identify potential risks, develop mitigation strategies, and proactively resolve issues
- Implement quality control measures to ensure high standards in deliverables
- Conduct post-project reviews to capture lessons learned and drive continuous improvement
- Bachelor's or Master's degree in Computer Science, Data Science, Business Administration, or related fields
- 5+ years of project management experience, preferably in data analytics, AI, or technology consulting
- Proven track record in delivering complex, data-driven projects within scope, time, and budget
- Strong understanding of cognitive technologies, machine learning, and data analytics tools (e.g., Python, R, TensorFlow, IBM Watson, Power BI)
- Experience with Agile, Scrum, or hybrid project management methodologies
- Exceptional leadership, communication, and problem-solving skills
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