Introduction

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.

You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

Your role and responsibilities

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 Construction: Develop 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 Leadership: Lead 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 Assessment: Evaluate 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 Evaluation: Assist 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 Oversight: Oversee 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 Collaboration: Work closely with cross-functional teams, including data scientists, business analysts, and IT professionals, to ensure alignment between business goals and technical solutions

Required technical and professional expertise

The candidate must possess the following technical and professional expertise:

1. Educational Background: A Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, or a related field is required.

2. Experience: A 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 Knowledge: Familiarity with emerging trends in banking such as digital banking transformations, embedded finance solutions, and regulatory compliance requirements related to AI.

2. Certifications: Relevant 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 Frameworks: Prior experience in assessing or implementing AI governance frameworks within financial institutions is highly desirable.

4. Understanding of Ethical AI Practices: Knowledge of ethical considerations surrounding AI use in banking, including fairness, accountability, transparency, and bias mitigation strategies.