Managing Director - Data Science

As the Head of Data Science at Trimont, you will play a crucial role in building out the commercial real estate loan servicing platform by leading multiple teams of data scientists in an Agile organization. Your strong technical understanding and focus on innovation will drive the success of the data science and AI strategy aligned with business objectives. Key Responsibilities: - Define and execute the data science and AI strategy in alignment with business objectives. - Lead three specialized teams: Document Processing and Extraction, Agentic AI, and Predictive Analytics. - Collaborate with engineering and product teams to integrate AI/ML capabilities into the platform. - Stay abreast of AI/ML advancements to identify opportunities for competitive advantage. - Build and scale data science teams, recruiting and retaining top talent in Generative AI and machine learning. - Develop technical roadmaps for each team in line with product priorities. - Cultivate a culture of experimentation and production-focused ML. - Lead the development of intelligent systems for working with unstructured data. - Design and deploy autonomous AI Agents to assist with loan servicing workflows. - Develop multi-agent systems capable of handling complex multistep tasks. - Ensure agentic systems are explainable, controllable, and aligned with business rules. - Create models for evaluating borrower health and predicting early warning signs of default. - Establish MLOps practices for model deployment, monitoring, and evaluation. - Collaborate with engineering and infrastructure teams to build scalable ML infrastructure. - Implement model governance, testing, and validation frameworks to meet regulatory and ethical standards. Required Qualifications: - PhD or Master's in computer science, statistics, machine learning, or a related quantitative field. - 15+ years of experience in data science/ML with at least 8 years in team leadership. - Proven track record of deploying production ML systems at scale. - Proficiency in modern ML frameworks such as PyTorch, Tensorflow, HuggingFace, and LangChain. - Experience with predictive modeling and time series forecasting. Preferred Qualifications: - Experience in financial services, lending, or real estate technology. - Background in fintech or SaaS product companies. - Familiarity with commercial real estate data and loan structures. - Knowledge of financial regulations and model risk management. - Track record of building data science functions from the ground up. Key Competencies: - Ability to translate business problems into ML solutions. - Strong product sense with a focus on business impact. - Excellent communication skills with both technical and non-technical stakeholders. - Strategic thinking combined with hands-on technical capabilities. - Experience balancing research innovation with production deployment. Trimont is an equal opportunity employer, fostering diversity in the workplace. We support individuals with disabilities during the application process and ensure a drug-free environment for all team members. As the Head of Data Science at Trimont, you will play a crucial role in building out the commercial real estate loan servicing platform by leading multiple teams of data scientists in an Agile organization. Your strong technical understanding and focus on innovation will drive the success of the data science and AI strategy aligned with business objectives. Key Responsibilities: - Define and execute the data science and AI strategy in alignment with business objectives. - Lead three specialized teams: Document Processing and Extraction, Agentic AI, and Predictive Analytics. - Collaborate with engineering and product teams to integrate AI/ML capabilities into the platform. - Stay abreast of AI/ML advancements to identify opportunities for competitive advantage. - Build and scale data science teams, recruiting and retaining top talent in Generative AI and machine learning. - Develop technical roadmaps for each team in line with product priorities. - Cultivate a culture of experimentation and production-focused ML. - Lead the development of intelligent systems for working with unstructured data. - Design and deploy autonomous AI Agents to assist with loan servicing workflows. - Develop multi-agent systems capable of handling complex multistep tasks. - Ensure agentic systems are explainable, controllable, and aligned with business rules. - Create models for evaluating borrower health and predicting early warning signs of default. - Establish MLOps practices for model deployment, monitoring, and evaluation. - Collaborate with engineering and infrastructure teams to build scalable ML infrastructure. - Implement model governance, testing, and validation frameworks to meet regulatory and ethical standards. Required Qualifications: - PhD or Master's in computer science, statistics, machine learning, or a related quantitative field. - 15+ years of expe