Key Responsibilities
Key Responsibilities:
- 15+ years of experience in AI product management, or technology transformation roles.
- Strong experience in AI-driven product development and implementing technology transformation strategies, especially in areas such as GenAI, Agent Transformation.
- Deep understanding of AI technologies, machine learning, and data analytics applications.
- Demonstrated success in managing go-to-market strategies, creating customized content, and supporting sales enablement efforts.
Job Summary
Product Strategy and Plan: Drive yearly planning exercise around our Artificial Intelligence Transformation offering, articulating the needs / pain points from our clients, how they evolve and how the product responds to these needs and how we differentiate from competitors. You will be supporting the development of a clear architecture for solution; articulation around value pools, use cases and underlying tech/human enablers; and connection with other HCLTech offerings.
Management and support for go-to-market per Domain. In collaboration with different HCLTECH domain teams, align on Domain priorities and specific GTM plans (incl. customized content needed, specific campaigns, and priority clients)
Support the leadership team in setting up and orchestrating the right governance, prepare and animate the regular meetings / calls associated with Build and Roll Out
Skill Requirements
- Strong technical acumen in AI, machine learning, data analytics, and related technologies, coupled with a deep understanding of business strategy and operations
- Expertise in go-to-market strategies
- Ability to prioritize and manage complex backlogs and handle product development.
- Client relationship management, with the ability to engage clients at a strategic level and deliver tailored solutions to meet their unique business needs.
Education Requirement
Educational Background:
- A Bachelor's or Master's degree in a relevant field such as Computer Science, Engineering, Business Administration, or a related technical discipline.
- A strong academic foundation in AI, machine learning, or data science is highly preferred.
- Additional certifications in areas such as Artificial Intelligence, Machine Learning, Data Science, Business Strategy, or Product Management would be advantageous.