What are the responsibilities and job description for the Director of Generative AI& ML position at Idexcel Inc.?
Job Details
Job Title: Director of Generative Artificial Intelligence & ML Innovation Lending Transformation
Duration: Full-time with Idexcel
Location: Herndon, VA
Role Summary:
The Director of AI/ML Innovation will lead the design, development, and implementation of AI-driven solutions to enhance underwriting, financial analysis, and loan origination processes. This leader will play a critical role in developing advanced workflows, automation capabilities, and data-driven insights to meet the needs of modern lending institutions. You will work closely with cross-functional teams, including product, engineering, and compliance, to build and deploy scalable AI/ML solutions.
Key Responsibilities:
- AI Strategy and Vision: Define and execute a comprehensive AI/ML strategy to transform lending workflows, underwriting processes, and financial analysis capabilities.
- Product Innovation: Identify opportunities for GenAI based innovations to enhance borrower assessments, decision-making processes, and workflow automation.
- Data-Driven Insights: Leverage machine learning to analyze large volumes of financial and operational data to improve credit underwriting, detect risks, and ensure compliance.
- Workflow Optimization: Develop intelligent automation solutions to streamline multi-step lending processes, policies, and rules-based workflows for both commercial and consumer loans.
- Regulatory Compliance: Build AI solutions that ensure compliance with lending regulations and support dynamic policy enforcement across institutions.
- Cross-Functional Leadership: Collaborate with engineering, product, data science, and compliance teams to align AI/ML initiatives with business goals.
- AI Governance and Ethics: Establish frameworks for responsible AI development and ensure adherence to AI governance principles, ensuring fair and unbiased decision-making.
- Team Leadership: Recruit, develop, and lead a high-performing team of AI/ML specialists, data scientists, and engineers.
- Performance Metrics: Define and track KPIs to measure the impact of AI solutions on underwriting accuracy, operational efficiency, and borrower experience.
REQUIRED SKILLS:
- 12 years of professional experience
- Technical Expertise: Deep understanding of AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and experience with GenAI models (e.g., LLMs, GPT-based models).
- 6 years of management and leadership experience
- Experience hiring and building new teams from the ground up
- Experience leading large data and technical teams, including Data/ML Ops Engineering, Solution Architects, and Business Intelligence Engineers
- Previous hands-on experience building large-scale AI and ML models and workflows and monitoring them
- Strong knowledge of machine learning algorithms, statistical models, and data science tools
- Proven experience in leading AI/ML teams and implementing successful projects
- AWS Cloud platform experience is mandatory
- Data Expertise: Strong background in data engineering and working with structured and unstructured financial data.
- Leadership Skills: Proven ability to lead cross functional teams and manage AI/ML product development in complex environments.
- Innovation Mindset: Ability to identify emerging AI trends and leverage them to reimagine business processes.
- Proven experience leading machine learning projects from inception to prototype, with a demonstrated ability to meet deadlines and manage project teams.
- Proven track record of working on LLM-based projects, including prompt optimization and fine-tuning for real-world use cases.
- Experience applying traditional machine learning methods to solve business and analytical problems
RESPONSIBILITIES:
- Oversee the design, development, testing, and deployment of automation and AI/ML operations that support data products for use in advanced analytics, data science, and AI initiatives.
- Build a new team from the ground up.
- Provide mentorship and guidance to team members to ensure professional development and growth.
- Hire and retain top data engineering talent, set performance expectations, conduct regular assessments, and foster a collaborative and innovative work environment.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
