Senior Project Manager (Traditional AI & LLM Applications)

Responsibilities:

• Project Planning & Execution: Develop and oversee comprehensive project plans, defining scope, objectives, and deliverables. Ensure timely achievement of milestones and project delivery within
  allocated funds.

• Financial Oversight: Track and manage project revenues and costs, ensuring optimal profitability.

• Implement cost-effective strategies and maintain a keen focus on budget adherence.

• Risk & Quality Management: Proactively identify potential project risks, devise mitigation strategies,
  and ensure deliverables meet or exceed required quality standards.

• Stakeholder & Client Relations: Build and maintain strong relationships with stakeholders and clients,
  managing their expectations, and addressing concerns or conflicting requirements.

• Tech Delivery Collaboration: Work closely with the Tech Delivery Team to ensure a solid and viable
  project plan is in place and executed effectively.

• Methodology & Best Practices: Utilize knowledge of the SDLC and champion Agile practices, adapting
  methodologies as required.

• AI Integration: Collaborate with AI teams or specialists when projects involve AI components, ensuring
  that AI implementations align with project goals.

• Legal, Compliance & Cybersecurity: Secure necessary permits and legal documentation. Ensure
  projects adhere to all compliance standards, cybersecurity best practices, and industry standards.

• Continuous Evaluation: Regularly evaluate project progress, making necessary adjustments to ensure
  success and alignment with company objectives.

• Resource & Time Management: Oversee project timelines and resource allocation, ensuring optimal
  utilization and cost-effectiveness.

• Other jobs as assigned

Qualifications:

• Bachelor’s degree in business, Computer Science, Information Technology, or a related field.

• Experience: 5-10 years of proven experience in project management, preferably in Software House/Agency or related industries.

• Demonstrated experience in managing multiple projects simultaneously, with a track record of successful project delivery.

• Prior experience in Data Analytics, Generative AI, or Predictive Analytics projects is a significant advantage.

• PMP (Project Management Professional) or CAPM (Certified Associate in Project Management) certification is a plus.

• Agile/Scrum certification is advantageous.

• Technical Proficiency: Strong familiarity with SDLC, Agile methodologies, and AI integrations.

• Deep understanding of cybersecurity best practices and standards.

• Hands-on experience or knowledge in Data Analytics, AI, and Predictive Analytics tools and methodologies.

• Financial Acumen: Experience in budgeting, cost management, and financial tracking of projects.
  

Soft Skills:

• Strong interpersonal and communication skills.

• Ability to manage and engage with stakeholders at various levels.

• Problem-solving mindset with a focus on continuous improvement.
  

Tools & Software:

• Proficiency in project management software tools like JIRA, Kickup, or Microsoft Project.

• Familiarity with collaboration tools such as Slack, Microsoft Teams, or Zoom