Senior Product Manager overseeing Business Deposits Checking product life cycle at Bank of America. Responsibilities include market research, pricing strategy, and driving product innovation.
About the role
- Product Owner for EXL responsible for execution of enterprise-grade AI Platform. Collaborating with cross-functional teams to meet business needs and technical priorities.
Responsibilities
- Own and manage the product backlog for the AI Platform, ensuring it reflects the strategic roadmap and technical priorities
- Define and refine user stories, acceptance criteria, and success metrics to ensure clarity and alignment for the development team
- Partner with engineering leads to translate complex AI platform capabilities into actionable development tasks
- Collaborate with stakeholders (AI researchers, data scientists, DevOps, and security teams) to gather requirements, prioritize needs, and manage dependencies
- Facilitate sprint planning, backlog grooming, and review sessions, ensuring continuous delivery of value
- Monitor progress against milestones and KPIs, proactively identifying risks and trade-offs
- Ensure features support the overall vision for agentic AI capabilities
- Support product documentation, release notes, and internal training materials to ensure successful adoption
Requirements
- Master’s degree in Computer Science, Data Science, or Business Administration (MBA)
- 3+ years of experience in product ownership or product management in platform or enterprise software environments
- Strong understanding of Agentic AI, including LLMs, prompt management, agent deployment, and observability
- Experience managing agile software development processes using frameworks such as Scrum or Kanban
- Proven ability to create clear, actionable user stories, epics, and acceptance criteria
- Excellent communication, stakeholder management, and prioritization skills
- Demonstrated experience collaborating with cross-functional technical teams
- Familiarity with modern AI frameworks (e.g., LangChain, ADK, CrewAI, or similar agent frameworks)
- Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Kubernetes, Docker)
- Understanding of data governance, model observability, and AI ethics/compliance principles
- Track record of shipping platform-level capabilities for internal developer or data science audiences
- Experience with APIs, SDKs, and developer ecosystem enablement
- Knowledge of software development tools and methodologies
- Customer-facing, sales aligned experience
Benefits
- A competitive salary with a generous bonus
- Private healthcare
- Life assurance at 4 x your annual salary
- Income protection insurance
- A rewarding pension
- Professional and personal development opportunities
- Online courses, seminars, and workshops support
- Flexible hybrid working model
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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