Lead Data Solutions Engineer - GenAI/ML/LLM (Hybrid or Remote)

$90,000 - $200,000/Yr

S&P Global - Nashville, TN

Full-time - Mid Level

Onsite - Nashville, TN

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The Lead Data Solutions Engineer - GenAI/ML/LLM position at S&P Global is a pivotal role within the Advanced Analytics & Automation: Data Engineering team. This team is dedicated to enhancing the delivery of Ratings data and content through the integration of automation, machine learning, and data engineering. The role is designed for a professional who is eager to collaborate with various teams across the organization, including technology, business, and operations, to drive significant automation improvements and expand the capabilities of the data value chain processes. As a key member of the Ratings Data Engineering team, you will be instrumental in developing innovative solutions that leverage Generative AI, Auto Document Tagging, Unstructured Data Extraction, and ML/LLM Driven Extraction. Your responsibilities will include executing and leading cross-organizational projects aimed at automating data processes using Python and other key technologies. You will also design and develop automation capabilities that encompass the entire data lifecycle, from sourcing and collection to transformation and tagging, utilizing modern techniques and best practices. In addition to technical responsibilities, you will mentor team members on coding best practices and serve as a subject matter expert for process improvement and new technologies. Your role will require you to actively listen and learn about existing processes to identify problems and develop efficient automated solutions. You will also be expected to monitor market trends in data science and automation, onboarding new technologies to meet business needs while fostering a culture of innovation and customer focus within the team.

Responsibilities

• Execute and serve as lead and/or SME on cross-organizational and cross-divisional projects automating data value chain processes using Python and/or key technologies.
• Design solutions and develop automation capabilities, including sourcing, collection, ingestion, extraction, transformation, translation, linking, chunking, feature engineering, and tagging.
• Mentor team members on coding best practices.
• Serve as a source of knowledge for the Data Engineering team regarding process improvement, automation, and new technologies.
• Develop skills for 'listening to learn' to understand processes and associated problems for efficient automated solutions.
• Collaborate with all teams and stakeholders involved in projects and work.
• Monitor market trends in data science/automation to identify and onboard new technologies and solutions.
• Demonstrate innovation, customer focus, and experimentation mindsets.

Requirements

• Proven experience in data engineering and automation, particularly with Python.
• Strong understanding of machine learning and data science principles.
• Experience with Generative AI and related technologies.
• Ability to design and implement automation solutions across the data lifecycle.
• Excellent communication and collaboration skills to work with cross-functional teams.
• Experience mentoring and guiding team members in best practices.

Nice-to-haves

• Familiarity with unstructured data extraction techniques.
• Experience with Auto Document Tagging solutions.
• Knowledge of feature engineering and data transformation techniques.

Benefits

• Annual incentive plan eligibility.
• Comprehensive health insurance coverage.
• 401(k) retirement savings plan with company matching contributions.
• Paid time off and holidays.
• Professional development opportunities.