Full-Time Senior AI Consultant/GenAI Product Owner

• Lead AI-driven transformation – Act as a thought leader in financial services, shaping enterprise-wide Data & AI strategies with a strong focus on Generative AI (GenAI).
• Bridge AI and Business – Define AI-powered banking solutions that align technology advancements with customer needs and business objectives.
• Guide C-Level Stakeholders – Establish strong relationships with senior banking executives, guiding them through AI adoption, regulatory considerations, and value-driven implementations.
• Own the AI Product Vision – Drive the end-to-end development of GenAI solutions, collaborating with cross-functional teams including data engineers, ML experts, and business leaders.
• Define Roadmaps & Execution Strategies – Oversee project scopes, planning, and execution, ensuring that AI solutions deliver measurable impact.
• Deliver AI & Data Solutions – Support data visualization, model development, and AI application rollouts, ensuring seamless integration into banking ecosystems.
• Enhance Hiflylabs' AI Offerings – Lead research and strategy development for new GenAI solutions in financial services, contributing to go-to-market strategies.

What You Need to Apply:

• 4-5 years of experience in AI-driven product management, consulting, or financial services.
• Expertise in AI & data analytics, with experience deploying Generative AI solutions.
• Strong strategic thinking, problem-solving, and decision-making skills.
• Experience engaging with C-level executives and senior stakeholders.
• Ability to translate business challenges into AI-powered opportunities.
• Advanced presentation and storytelling skills for AI solutions.
• Proficiency in English (written & spoken).
• High adaptability, proactive mindset, and a passion for AI innovation.

Nice to Have:

• Experience at Big 4 consulting firms or as a strategic advisor in financial services.
• Domain knowledge beyond banking (e.g., telecom, healthcare, retail, energy).
• Hands-on experience with Machine Learning, NLP, or GenAI tools.
• Familiarity with data visualization tools (Power BI, Tableau, Looker).
• Understanding of data governance, AI ethics, and regulatory frameworks.

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