Manager of Automation and AI

Manager/Sr. Manager of Automation

RAS LaVrar is a rapidly expanding creditors' rights law firm servicing some of the largest financial institutions in the country. Our offices, home to hundreds of employees across seven states, work diligently to ensure our interests are in constant alignment with those of our clients. Our firm maintains a collegial work environment with opportunities for training and professional development. This is a high-volume and fast-paced practice that prides itself on efficiency and innovation.

At RAS LaVrar, the Manager/Sr. Manager of Automation will 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).
• Build custom connectors, applications, and integrations using any of the following technologies - SQL, Python, JavaScript, Powershell, React, and C#.
• 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 fields such as:
  Engineering, Computer Science, AI/ML, Data Science are required OR experience may be…