Description

Key Responsibilities

• Define the vision, strategy, roadmap, and success metrics for enterprise AI and Generative AI products.
• Identify, evaluate, and prioritize AI use cases based on business value, technical feasibility, data readiness, risk profile, user impact, and strategic alignment.
• Translate business requirements into product roadmaps, user stories, acceptance criteria, functional specifications, and measurable business outcomes.
• Lead the end-to-end product lifecycle from product discovery, experimentation, MVP development, pilot execution, production rollout, adoption, monitoring, and continuous improvement.
• Collaborate closely with AI Engineers, Data Scientists, Researchers, Architects, UX Designers, Risk, Compliance, Legal, Cybersecurity, and business stakeholders.
• Define and monitor key performance indicators (KPIs) including product adoption, productivity improvements, operational efficiency, cost savings, accuracy, risk reduction, cycle-time improvements, and user satisfaction.
• Ensure AI products comply with enterprise governance standards by incorporating explainability, auditability, human oversight, Responsible AI, privacy, and security controls.
• Drive enterprise adoption through stakeholder engagement, change management, user training, executive reporting, communication plans, and continuous feedback loops.
• Build strong business cases and prioritize product investments that maximize business value and customer impact.

Required Qualifications

• Experience in Product Management, Digital Transformation, AI/ML Products, Data Platforms, Enterprise Technology, or Business Transformation.
• Strong understanding of Artificial Intelligence, Generative AI, Large Language Models (LLMs), enterprise AI capabilities, limitations, risks, and adoption strategies.
• Demonstrated ability to translate complex business challenges into AI-enabled product opportunities with measurable outcomes.
• Experience collaborating with Engineering, Data Science, AI Research, Architecture, Risk, Compliance, Legal, Cybersecurity, and business teams.
• Strong product roadmap management, prioritization, stakeholder management, business case development, and delivery governance experience.
• Excellent communication, presentation, leadership, and analytical skills.
• Experience working within Agile product development methodologies.

Preferred Qualifications

• Experience in Banking, Financial Services, FinTech, Risk Management, Operations, Compliance, Customer Service, or Enterprise Productivity solutions.
• Experience delivering AI Copilots, Knowledge Assistants, Intelligent Automation solutions, Analytics Products, AI Platforms, or Enterprise Data Products.
• Familiarity with AI Governance, Responsible AI, Model Risk Management, Data Privacy, Cybersecurity, and regulatory compliance requirements.
• Experience managing enterprise-scale AI product portfolios

Key Skills

Education

Any Gradute