Senior Analytics Engineer – Ecms Contracts AI

Senior Analytics Engineer – Ecms Contracts AI

Requirements

• 5 or more years of relevant experience in data engineering or a related role required.
• Expertise in designing and implementing ETL pipelines and data integration processes.
• Strong knowledge of SQL and NoSQL databases.
• Experience with machine learning models, especially NLP models, and deploying AI in production environments.
• Proficiency with data visualization tools (e.g., Tableau, Power BI) and reporting.
• Familiarity with MLOps practices and tools.
• Will need to understand how to use LLM AI Prompts, understand AI limits.
• Excellent communication and collaboration skills, with the ability to explain technical concepts to non-technical stakeholders.
• Knowledge of data governance and master data management best practices.
• Experience with contract lifecycle management systems.
• Strong project management and problem-solving abilities.
• Experience with Dynamics or Salesforce.

Responsibilities

• Lead critical aspects of implementing an AI-enabled contract lifecycle management system.
• Ensure seamless integration and operational efficiency of the system.
• Collaborate with CLM vendors, data scientists, QA teams, and AI specialists to fine-tune machine learning models, including natural language processing (NLP) models for contract analysis.
• Ensure the AI models produce reliable and actionable insights.
• Design and implement data pipelines for the extraction, transformation, and loading (ETL) of contract data.
• Collaborate with other teams to integrate data sources and maintain data integrity.
• Optimize database design and management for contract data, utilizing SQL and NoSQL databases.
• Implement best practices for data storage, retrieval, and security.
• Work with the CLM vendor to ensure data availability and accuracy in their system, APIs, and any external data storage locations.
• Oversee the deployment, monitoring, and continuous improvement of AI models in production environments.
• Ensure AI models remain accurate and effective over time.
• Implement and maintain best practices for data governance, ensuring data integrity, consistency, and compliance.
• Support master data management and data quality assurance initiatives.
• Use data visualization tools to create reports and dashboards that provide actionable insights for business stakeholders.
• Lead initiatives to improve system performance and user adoption based on feedback and system metrics.
• Partner with teams such as legal, finance, and business operations to ensure system integration meets business requirements.
• Communicate technical concepts effectively to non-technical stakeholders and promote cross-functional collaboration.
• Work closely with the project manager to identify essential tasks and define project timelines.
• Manage deliverables related to integration, data availability, and data accuracy.
• Ensure on-time completion of projects while aligning with broader organizational goals.

Preferred Qualifications

• Familiarity with cloud platforms and tools for AI/ML development.