Manager of Automation and AI

ESSENTIAL JOB DUTIES/RESPONSIBILITIES

• 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 CollectMax 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.

  KNOWLEDGE, SKILLS, AND ABILITIES

  • 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, TensorFlow, PyTorch, Keras, Hugging Face, OpenCV, NLTK, Spacy, LangChain, 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.

    EDUCATIONAL / EXPERIENCE QUALIFICATIONS

    • 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 considered in lieu of the required education on a year-for-year basis.
    • 5+ years of hands-on experience in software development for automation implementation using various tech stacks.
    • Strong programming skills in SQL, Python, JavaScript, React, and C#.
    • Proven expertise in Microsoft Power Automate, Gen AI, or similar technologies would be a plus.
    • Experience with JST CollectMax or similar advanced collection/debt collection platform is preferred.
    • Familiarity with Agile methodologies and DevOps practices for automation delivery.
    • Excellent problem-solving, communication, and stakeholder management skills.
    • 2+ years of experience would be a plus in AI/ML engineering, Automation, Data science, software development, or a related field, with a focus on GenAI and ML.
    • Strong understanding of advanced mathematics, statistics, programming, data handling, ML algorithms and predictive analytics.
    • Experience with DevOps, containerization (e.g., Docker), and agile development methodologies.
    • Minimum of 2 years’ experience using tools in at least one cloud computing platform such as Microsoft Azure (preferred) or Google Cloud Platform.