Manager of Automation and AI

Lead a team of engineers and analysts to develop and implement advanced automation, application development, and AI solutions that integrate with our Collections platform across the organization. This high-visibility role will work closely with the executive team to design, implement, and scale automation solutions that drive measurable business impact.

The ideal candidate will develop and execute a 2 to 4-year Automation roadmap
, leveraging automation to streamline workflows, enhance efficiency, and reduce operational costs. This role requires a blend of strategic vision and hands‑on execution
, ensuring that Automation and AI-driven solutions align with business objectives.

The Manager will be empowered with resources, executive support, and decision‑making authority to drive transformation and will play a key role in shaping the firm's long‑term technology strategy.

• Lead a team of software engineers and analysts to develop and implement scalable automations and AI solutions across the organization.
• Oversee hiring and upskilling of talents in the team.
• Design, develop, and maintain scalable workflows and automation solutions using Python, other programming languages, and other platforms (Azure technologies, Power Automate, Power Apps, or similar technologies).
• Hands‑on experience or strong understanding of JST Collect Max or similar advanced collection/debt collection platform is required.
• Collaborate with business stakeholders to gather requirements and translate them into technical automation and AI solutions.
• Lead end‑to‑end automation lifecycle: discovery, solution design, development, testing, deployment, support and related documentation.
• Monitor and optimize automation or AI model performance, handle exceptions, monitor logs through dashboards, and ensures high availability of automation.
• Lead the development of automation best practices, governance, procedures, and reusable components.
• Develops complex algorithms and statistical predictive models by determining analytical approaches and modeling techniques.
• Performs the analysis of both structured and unstructured data to address various complex business challenges.
• Integrates AI/ML models with larger systems, including cloud‑based infrastructure, software applications, and data platforms.
• Manage the team to maintain a library of dashboards, monthly reporting to clients, internal reporting to firm managers, and generate production workloads.
• Manage analytics such as forecast analysis, financial analysis, performance analysis, and track portfolio trends.
• Lead data engineering to build & maintain data pipelines and construct queries as applicable.
• Stays up to date with the latest advancements in GenAI, ML, MLOps, LLMOps, and apply this knowledge to drive innovation and improvement in technology stack.
• Performs other duties as assigned and modified at manager’s discretion.

• Astute business acumen and acuity.
• Hands‑on experience and strong expertise in advanced automation and AI solution implementation.
• Excellent verbal communication skills, including the ability to articulate complex concepts to both technical and non‑technical audiences.
• Superb interpersonal, organization, time‑management, and coordination skills.
• Task‑oriented with an ability to set goals and complete deliverables.
• Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork.
• Demonstrated aptitude in Python with hands‑on experience implementing automations and production machine learning systems.
• Skilled with relational databases, programming languages, web app frameworks, libraries, and tools such as SQL, Python, C#, React, Power Automate, scikit‑learn, Tensor Flow, PyTorch, Keras, Hugging Face, OpenCV, NLTK, Spacy, Lang Chain, Prefect, Document Intelligence, and shell scripting.
• Knowledge and understanding of AI and ML fundamentals including classical ML, deep learning techniques, and LLMs.
• Spoken and written fluency in English.

• Bachelor’s degree in computer science, information systems, data science, or related field.
• Master's degree in quantitative…