Assistant Director - Product Manager, Conversational Artifical Intelligence
HSBC Holdings plc (company site, opens in a new tab)7+ yrsBengaluruOn-siteDirect career pageEst. 35–55 LPA
Posted 1d ago
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at HSBC Holdings plc
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at HSBC Holdings plc you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own the product roadmap and measurable outcomes for conversational People Insights products focused on natural-language access to workforce information.
- Lead product discovery, prioritisation, delivery, and continuous improvement based on user research, feedback, and behavioural insights.
- Collaborate with Data, Analytics, and Technology teams to ensure data governance, privacy compliance, and quality in AI-driven responses, while monitoring adoption and user satisfaction metrics.
Minimum Requirements
- 7+ years of Product Management or Product Ownership experience including AI, Generative AI, Conversational AI, data, analytics, or automation products.
- Experience managing AI-enabled or data/analytics products through full lifecycle: discovery, delivery, launch, adoption, and continuous improvement.
- Practical understanding of Conversational AI and Generative AI including grounding, retrieval, evaluation, and response-quality management.
- Ability to operate in complex, matrixed organisations with cross-functional teams; experience influencing stakeholders and decision-making under competing priorities.
Ideal Candidate Profile
- Experienced in product discovery and delivery of AI or data-driven products with evidences of measurable user or business outcomes.
- Comfortable working across engineering, data, design, and specialist teams to manage governance, privacy, security, and responsible AI considerations.
- Technically fluent on data sources, semantic models, integrations, scalability, and constraints to bridge product and technical teams effectively.