Applied AI Bankg Senior Managg Consultant

The AI Expert, serving as a Senior Managing Consultant for transformation programs in Banking, will have a critical role with the following key responsibilities: 1. Transformative Pitch ConstructionDevelop and present transformative pitches to banks that utilize applied AI to enhance employee productivity, reduce operational risks, improve customer satisfaction, and address other critical problem statements. Emphasize the connection between AI initiatives and return on investment (ROI) to demonstrate the financial benefits of proposed solutions. 2. AI Solution Architecture LeadershipLead the design and formulation of AI solution architectures for proposals and pitches. Ensure that the solutions are innovative, scalable, and differentiated from competitors’ offerings. 3. AI Governance AssessmentEvaluate the maturity of AI governance frameworks within client organizations. Identify gaps and recommend best practices to enhance governance structures, ensuring compliance with regulatory standards. 4. Product and Partner Ecosystem EvaluationAssist banks in selecting appropriate AI products and establishing a partner ecosystem that aligns with their strategic objectives and enhances their technological capabilities. 5. Model Execution OversightOversee the execution of AI models, ensuring adherence to established methodologies and best practices. Review model performance and provide guidance for improvements as necessary. 6. Stakeholder CollaborationWork closely with cross-functional teams, including data scientists, business analysts, and IT professionals, to ensure alignment between business goals and technical solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise The candidate must possess the following technical and professional expertise: 1. Educational BackgroundA Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, or a related field is required. 2. ExperienceA minimum of 15 years of experience in consulting or a related field within the financial services industry, with a strong focus on AI applications in banking. 3. Technical Skills: 4. Proficiency in AI technologies such as machine learning, deep learning, natural language processing (NLP), and robotic process automation (RPA). 5. Experience with data analytics tools (e.g., Python, R) for model development and evaluation. 6. Familiarity with leading AI stacks (e.g., TensorFlow, PyTorch) for developing scalable AI solutions. 7. Knowledge of cloud platforms (e.g., AWS, Azure, GCP) for deploying AI solutions. 8. Understanding of data governance principles and frameworks relevant to AI applications. Professional Skills: 1. Strong analytical skills with a proven ability to identify gaps in existing processes and recommend innovative solutions. 2. Excellent communication skills for effectively conveying complex technical concepts to diverse stakeholders. 3. Project management capabilities to oversee the execution of AI initiatives. 4. Ability to articulate the ROI associated with AI projects to stakeholders at various levels within client organizations. Preferred technical and professional experience Industry KnowledgeFamiliarity with emerging trends in banking such as digital banking transformations, embedded finance solutions, and regulatory compliance requirements related to AI. 2. CertificationsRelevant certifications such as Certified Analytics Professional (CAP), AWS Certified Machine Learning Specialty, or similar credentials that demonstrate expertise in AI technologies. 3. Experience with Governance FrameworksPrior experience in assessing or implementing AI governance frameworks within financial institutions is highly desirable. 4. Understanding of Ethical AI PracticesKnowledge of ethical considerations surrounding AI use in banking, including fairness, accountability, transparency, and bias mitigation strategies.