Technical Project Manager

Company Description ( )

We are a Series A Funded New Age Information Security & Data Analytics Company and we take pride in the fact that we have been delivering value to our customers with our innovative offerings and helping them adopt avariety of our security solutions that are based on cutting edge technologies like Artificial Intelligence, Predictive Intelligence, Facial Biometrics and so on.

We are among the top 5 Cyber excellence companies globally (Holger Schulze awards) and have won similar recognitions at National and International arenas.

To our credit, more than 100 customers in India already trust us and the list is only growing. Exciting things are happening at Innefu and we are all game for a big leap forward.

Job Description :

We are looking for a dynamic and experienced Senior Project Manager with over 12 years of proven track record in AI / ML and Data Analytics product line. The ideal candidate will have extensive experience in managing large-scale government projects, along with a deep understanding of AI / ML technologies and data analytics methodologies. The role requires hands-on experience in objection handling, team management, and a strong ability to drive project delivery within defined timelines and budgets.

Key Responsibilities :

• Lead and manage end-to-end project lifecycle for AI / ML and Data Analytics projects, ensuring successful delivery within scope, schedule, and budget constraints.
• Collaborate with cross-functional teams including engineering, data science, and product management to define project requirements, milestones, and deliverables.
• Develop and maintain project plans, schedules, and resource allocations, and track progress against project goals.
• Identify and mitigate project risks, issues, and dependencies, and proactively address any roadblocks to ensure project success.
• Serve as the primary point of contact for clients and stakeholders, and effectively communicate project status, updates, and issues.
• Provide leadership and guidance to project teams, fostering a collaborative and high-performance work environment.
• Conduct regular project reviews and retrospectives to gather feedback and drive continuous improvement initiatives.
• Stay updated on industry trends and best practices in AI / ML, Data Analytics, and project management methodologies.

Requirements :