Lead end-to-end management of application development projects, including planning, execution, monitoring, and closure.
Collaborate with cross-functional teams—developers, data engineers, business analysts, and stakeholders—to define project requirements and deliverables.
Identify opportunities to incorporate AI-driven features and enhancements into application design and functionality.
Develop detailed project plans, timelines, and resource allocations, ensuring alignment with organizational goals.
Manage project risks, issues, and changes, proactively mitigating challenges and communicating solutions.
Monitor project progress, track milestones, and provide regular updates to senior leadership and stakeholders.
Ensure quality assurance and compliance with relevant standards and regulations.
Facilitate effective communication across teams, promoting knowledge sharing and best practices in AI integration.
Evaluate and recommend AI tools, platforms, and frameworks to support application development.
Mentor and train team members on AI concepts and their application in projects.
Required Qualifications
Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field
Proven experience (5+ years) managing software/application development projects.
Strong understanding of AI concepts, including machine learning, natural language processing, and neural networks.
Familiarity with AI development tools and platforms (e.g., TensorFlow, PyTorch, Azure AI, AWS AI, Google AI).
Excellent organizational, analytical, and problem-solving skills.
Outstanding communication and interpersonal abilities.
Experience with Agile, Scrum, or other project management methodologies.
Ability to manage multiple projects simultaneously and prioritize tasks effectively.
Desired AI Skills and Competencies
Hands-on experience with AI model development, deployment, and monitoring in production environments.
Ability to translate business requirements into AI-driven technical solutions.
Understanding of data management, data analytics, and ethical considerations in AI.
Experience working with APIs, cloud-based AI services, and integrating AI components into applications.
Knowledge of AI trends, emerging technologies, and industry best practices.
Strong stakeholder management skills with the ability to explain complex AI concepts to non-technical audiences