Automation Manager

ABOUT THE ROLE

As Manager, AI and Automation, you will lead a team of developers and analysts building advanced automation, application, and AI solutions that integrate with our collections platform and scale across the firm. This is a high-visibility role that works closely with the executive team—backed by the resources, executive sponsorship, and decision-making authority to drive meaningful transformation.

You’ll own and execute a 2–3 year automation roadmap—using automation and AI to streamline workflows, improve efficiency, and reduce operational costs—while helping shape the firm’s long-term technology strategy. Success here calls for both strategic vision and hands-on technical execution, ensuring every solution is tied to a clear, measurable business outcome. If you want ownership, autonomy, and the chance to be a first mover in your industry, this is that role.

WHAT YOU’LL DO

• Lead, mentor, and grow a team of software developers and analysts—including hiring and upskilling—to deliver scalable

automation and AI solutions across the firm.

• Own the end-to-end automation lifecycle: discovery, solution design, development, testing, deployment, support, and

documentation.

• Design, develop, and maintain scalable workflows, custom connectors, applications, and integrations using SQL, Python,

JavaScript, PowerShell, React, C#, and Azure (or comparable) technologies.

• Partner with business stakeholders to gather requirements and translate them into practical automation and AI solutions

tied to measurable outcomes.

• Develop algorithms and predictive models, and analyze structured and unstructured data to solve complex business

challenges.

• Integrate AI/ML models into larger systems, including cloud infrastructure, software applications, and data platforms.

• Build and maintain the data pipelines and queries that power automations, BI dashboards, and reporting.

• Oversee the firm’s library of BI dashboards and reporting—both client-facing and internal—spanning forecast, financial,

performance, and portfolio-trend analytics.

• Monitor and optimize automation, intelligent document processing, and AI model performance, manage exceptions, and

ensure high availability through logging and dashboards.

• Establish automation best practices, governance, procedures, and reusable components.

• Stay current with advances in GenAI, ML, MLOps, and LLMOps, applying new techniques to strengthen the firm’s

technology stack.

• Perform other duties as assigned at the manager’s discretion.

WHAT YOU’LL BRING (REQUIRED)

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field—or equivalent experience

on a year-for-year basis.

• 5+ years of hands-on software development experience delivering automation solutions across modern tech stacks and

management experience for a development team.

• Strong programming skills in Python and SQL, with working proficiency in JavaScript, React, and C#.

• Demonstrated experience implementing automations and production machine learning systems.

• Solid grasp of AI/ML fundamentals—classical ML, deep learning, and LLMs—along with the supporting mathematics,

statistics, and data-handling concepts.

• Minimum 2 years using a major cloud platform (Microsoft Azure or Google Cloud Platform), including integrating AI/ML

models with cloud infrastructure.

• Familiarity with DevOps practices, containerization (e.g., Docker), CI/CD, and Agile delivery.

• Excellent communication skills, with the ability to articulate complex technical concepts to both technical and non-

technical audiences.

• Strong problem-solving, stakeholder-management, organizational, and time-management skills, plus the business

acumen to connect technical work to business value.

• Spoken and written fluency in English.

NICE TO HAVE (PREFERRED)

• Master’s degree in a quantitative field such as Engineering, Computer Science, AI/ML, or Data Science.

• 2+ years focused on AI/ML engineering or data science, with an emphasis on GenAI and ML.

• Proven expertise with intelligent document processing, GenAI, and LLM-based solutions.

• Experience with any advanced collections / debt-recovery platform.

• Hands-on experience with tools such as n8n, Power Automate, scikit-learn, TensorFlow, PyTorch, Keras, Hugging Face,

LangChain, Prefect, Azure Document Intelligence, OpenCV, NLTK, and spaCy.

LOCATION, SCHEDULE & WORK ENVIRONMENT

• On-site role based in Plantation, Florida.

• Monday–Friday, with a choice of shifts: 8:00 AM–5:00 PM, 8:30 AM–5:30 PM, or 9:00 AM–6:00 PM.

• Standard professional office environment with no significant physical demands (no operation of tools or machinery; no

significant lifting).

BENEFITS

• Paid time off and paid holidays; 401(k) plan; medical, dental, vision, and supplemental health insurance; and a voluntary

life insurance plan.