Senior AI/Software 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: 3-10 years of proven experience in project management, preferably in IT 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