Technical Project Manager - Enterprise Technology Solutions

Qualifications :

• 7+ years of experience in Technical Project Management delivering enterprise technology solutions.
• 2+ years of experience managing projects in AI Automation (Conversational AI, Generative AI, RPA, Intelligent Automation) is highly preferred.
• Strong understanding of platforms like Kore.ai, Google Dialogflow, Microsoft Azure AI, IBM Watson, UiPath, Automation Anywhere, or equivalent.
• Experience working with global enterprise clients across diverse industries (Retail, BFSI, Healthcare, Manufacturing, etc.
• Background in consulting services delivery from MNCs / SIs is a strong plus.
• Solid knowledge of Agile, Scrum, or Hybrid project delivery frameworks.
• Exceptional stakeholder management and communication skills (both technical and business-facing).
• Strong problem-solving, decision-making, and conflict resolution capabilities.
• Ability to manage multiple projects in parallel and deliver under tight deadlines.
• PMP, CSM, or equivalent certifications are a :
• Exposure to AI Solution Architecture and Conversational Design.
• Experience working with multi-regional delivery teams (onshore / offshore model).
• Familiarity with security, compliance, and data privacy requirements in AI Responsibilities :
• Manage end-to-end project delivery for AI automation solutions (Conversational AI, Generative AI, Agent AI, Automation AI) across multiple global clients.
• Lead project planning, resource allocation, risk management, and execution to meet scope, timeline, and budget commitments.
• Serve as the primary client point of contact, ensuring clear communication and excellent relationship management throughout the project lifecycle.
• Collaborate with Business Analysts, Solution Architects, and Developers to align project goals with technical solutions.
• Facilitate regular status meetings, workshops, and steering committees with client stakeholders and internal teams.
• Identify project risks and issues proactively; develop and execute mitigation plans.
• Track project KPIs (delivery milestones, performance metrics, adoption targets) and report progress to internal leadership and client executives.
• Ensure all project documentation (SOWs, change requests, meeting notes, post-implementation reviews) is up to date and complete.
• Drive continuous improvement initiatives and capture lessons learned for future projects.
• Stay informed of the latest trends in Conversational AI, Generative AI, and automation technologies to provide insights and guidance to clients

(ref : hirist.tech)