•  Define and drive emerging tech product vision aligned with business goals and market trends.
  
•  Build an AI-first roadmap leveraging GenAI, ML, predictive analytics, explainable AI, and automation frameworks
  
•  Identify and integrate emerging technology trends to enhance platform competitiveness.
  
•  Lead design and delivery of AI capabilities integrated into content services, process automation, decisioning, CCM, and digital journey orchestration
  
•  Partner with engineering heads to ensure scalable, secure, explainable AI models and robust ML Ops pipelines.
  
•  Oversee product lifecycle from ideation to launch, ensuring timely delivery and quality
  
•  Lead and mentor cross-functional teams including product managers, data scientists, AI engineers, UX teams, and solution specialists.
  
•  Foster a culture of innovation, collaboration, and continuous improvement.
  
•  Establish strong governance models, performance metrics, and development plans for team members.
  
•  Engage with customers, analysts, and partners to understand pain points and opportunities.
  
•  Translate customer insights into actionable product features.
  
•  Enable GTM teams with strong positioning, demos, and product narratives.
  
•  Work closely with Sales, Marketing, Delivery, Engineering, and Pre-Sales teams to ensure product adoption and success.
  
•  Collaborate with hyperscaler partners and academic institutions for innovation acceleration.
  

Requirements

•  Graduate / Post Graduate Engineering in Computer Science from premier engineering institutes of global ranking.
  
•  More than 20 years of overall experience in product development
  
•  Minimum 10 years of experience in core software product development company or technology leadership, with experience in AI/ML-driven product development.
  
•  Proven experience leading high-performing product engineering teams ( of min 200 team size) in a global software organization.
  
•  Strong understanding of GenAI, LLMs, NLP, ML Ops, predictive modelling, AI decisioning engines, and cloud-native architectures.
  
•  Experience in setting up Software Factory.
  
•  Demonstrated success in launching enterprise-grade AI products.
  
•  Excellent stakeholder management, communication, and executive presence.
  
•  Experience with low-code platforms, test automation tools, and enterprise workflow technologies preferred.
  
•  Experience of engaging with Analyst firms; publishing papers & case studies and representing company in professional association, groups, forums and events.