AI Product Manager

We are looking for an experienced AI Product Manager to lead the development and delivery of AI-powered products that solve real business problems and create measurable value for customers. This role sits at the intersection of business, technology, data science, and user experience. The ideal candidate will be responsible for defining product vision, prioritizing investments, and working closely with engineering and AI teams to bring innovative solutions to market. The successful candidate will be able to translate complex business challenges into scalable AI-driven products while balancing customer needs, business objectives, regulatory requirements, and technical feasibility. Key Responsibilities: Define and communicate a clear vision and roadmap for AI-enabled products. Identify opportunities where AI and Generative AI can improve customer experience, enhance operational efficiency, or create new revenue streams. Partner with business leaders and customers to understand challenges and convert them into product opportunities. Build business cases, value propositions, and success metrics for AI initiatives. Product Development & Delivery: Own the product lifecycle from ideation to launch and ongoing optimization. Create and manage product backlogs, user stories, and feature prioritization. Collaborate with Data Scientists, Engineers, Architects, and UX teams throughout the development process. Define MVPs and drive iterative product releases based on customer feedback and business outcomes. Ensure products are delivered on time, within scope, and aligned with strategic objectives. Work closely with AI/ML teams to define model requirements, training approaches, and deployment strategies. Understand AI capabilities and limitations and help stakeholders make informed decisions. Drive adoption of Generative AI solutions, intelligent automation, predictive analytics, and recommendation engines where appropriate. Monitor product performance and recommend enhancements based on data-driven insights. Stakeholder Management Act as the primary liaison between business stakeholders, technology teams, and leadership. Present product strategies, roadmaps, progress updates, and outcomes to executive leadership. Facilitate workshops and discovery sessions to gather requirements and align priorities. Governance & Responsible AI Ensure AI products comply with organizational governance, security, privacy, and regulatory requirements. Advocate for ethical and responsible AI practices, including explainability, transparency, fairness, and risk management. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or a related field. 8+ years of experience in Product Management, Program Management, or Digital Product Development. 3+ years of experience working with AI, Machine Learning, Analytics, or Data-driven products. Strong understanding of Agile methodologies and product management best practices. Experience working with cross-functional teams in fast-paced environments. Excellent communication, stakeholder management, and leadership skills. Preferred Qualifications MBA or Master's degree in a related discipline. Experience delivering Generative AI or Large Language Model (LLM)-based solutions. Experience within Banking, Financial Services, Insurance (BFSI), FinTech, or highly regulated industries. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Experience with AI governance, model lifecycle management, and responsible AI frameworks. Technical Knowledge: Exposure to one or more of the following: Artificial Intelligence & Machine Learning Generative AI and Large Language Models (OpenAI, Gemini, Claude, Llama) Natural Language Processing (NLP) Predictive Analytics Prompt Engineering MLOps and Model Lifecycle Management Data Platforms such as Snowflake or Databricks Cloud AI Services on AWS, Azure Analytics and Visualization Tools such as Power BI or Tableau Role Descriptions: Lead the delivery of AI projects from initiation to deployment. Define project scope| schedules| and success metrics. Collaborate with cross-functional teams to ensure project success. Manage project risks and stakeholder communications. Drive the adoption of AI-enabled project management practices. Certifications like PMP or Scrum Master are beneficial. Experience with cloud platforms such as Azure or AWS is advantageous. Familiarity with the financial services sector is a plus. Understanding of AI cost governance is helpful. Exposure to AI risk management practices is desirable. Proven experience in managing AI-related projects is essential. Familiarity with AI-enabled SDLC tools is required. Strong communication and leadership skills are a must. Experience with Agile methodologies is crucial. Knowledge of AI governance and compliance is necessary. Skills: Agile Specialisation~AI Transformation for HR~Change Management~Project Management #J-18808-Ljbffr