Data & AI Program Manager

About the Role We're hiring a Data & AI Program Manager to support a Fortune 100 technology company. This role sits at the intersection of data strategy and applied machine learning, owning the end-to-end data lifecycle that fuels natural language processing (NLP) applications and large language model (LLM) development. You'll define what "good data" looks like for a range of NLP use cases, build the guidelines and pipelines to get there, and partner closely with data engineering, data science, and ML teams to turn high-quality annotated data into measurable model performance gains. This is a full-time W2 position. You would be employed by Cyborg Mobile but placed with our client working full-time there and reporting to a manager there. We're looking for someone who is a self-starter, self-sufficient, and able to execute with little direction. This is a remote position (Washington candidates preferred). **We are not interested in working with agencies at this time** What You'll Do Conduct market and user research to understand data needs and expectations across various NLP applications and domains Define data specifications, scope, and sourcing strategy for each use case and domain Design judgment guidelines and instructions for data annotation, validation, and quality control Deliver datasets, schemas, guidelines, and annotations that meet approved specifications, scope, and sourcing requirements Manage the end-to-end data annotation process Analyze data quality metrics (accuracy, consistency, coverage, and diversity) and turn findings into actionable recommendations Implement approved data quality improvement actions Collaborate with client data engineers, data scientists, and machine learning engineers to integrate annotated data into production pipelines, support LLM fine-tuning, and evaluate model performance and impact Identify data gaps and opportunities; propose new data sources, methods, and features to improve data quality and model outcomes Communicate data vision, strategy, and results to internal and external stakeholders, including product owners, engineers, researchers, customers, and partners Prepare and deliver data reports, presentations, and demos using client-approved formats and channels What We're Looking For Experience in NLP data strategy, annotation program management, or a related data quality/linguistics role Strong understanding of data annotation workflows, guideline design, and inter-annotator quality control Familiarity with LLM training/fine-tuning pipelines and how annotated data feeds model evaluation Analytical mindset with the ability to translate quality metrics into concrete improvement plans Excellent stakeholder communication skills — comfortable presenting to both technical and non-technical audiences Experience working in large, matrixed corporate environments Must Haves Customer centric Good with follow through Has skills to build Agents, PowerBI dashboards, Sharepoint list management, coding agents like Codex, Claude Code, Github copilot