OGC Global · 6 hours ago
Data Science & AI Project Lead
OGC Global is a boutique research and consulting firm specializing in data-driven strategy and AI-powered analytics. They are seeking a Data Science & AI Project Lead to lead the execution of AI and synthetic data strategies while managing stakeholders and ensuring complex initiatives progress effectively.
Business DevelopmentConsultingData VisualizationManagement ConsultingMarket Research
Responsibilities
Lead end-to-end delivery of data science and AI initiatives, from scoping through production
Facilitate requirements gathering and project scoping for high-priority AI, analytics, and synthetic data initiatives
Own delivery cadence, prioritization, dependencies, and risk management across a multi-year AI roadmap
Apply Agile, Scrum, or hybrid methodologies to maintain momentum and transparency
Define and document technical specifications for synthetic data generation, modeling, and deployment
Support execution of quantitative research and data science projects, including:
Data preparation and transformation
Modeling (classification, regression, forecasting, etc.)
Insight generation and reporting
Oversee data pipeline flows and manage incoming stakeholder requests (data cuts, model refinements, ad-hoc analysis)
Conduct functional QA to ensure analytical and synthetic data outputs meet accuracy, usability, and business requirements
Serve as the primary liaison between technical teams and non-technical business, clinical, and operational stakeholders
Translate complex data science progress into clear, credible executive narratives
Build and deliver insights-based presentations and status updates to senior stakeholders
Facilitate workshops and enablement sessions to drive adoption of AI tools and analytical outputs
Support development of reusable data science products and internal accelerators
Research and evaluate new data sources, tools, and methodologies
Provide expert guidance on analytical techniques to analysts, data scientists, and sales leaders
Help institutionalize best practices for AI governance, synthetic data use, and analytics at scale
Qualification
Required
BA/BS in Computer Science, Data Science, Business, or a related field
4+ years experience in data science, analytics, or AI-focused roles
3+ years experience leading or coordinating data science or AI projects
Consulting or client-facing experience with senior stakeholders
Machine Learning & statistical modeling
Data pipelines and analytics workflows
Python (Pandas, NumPy, Scikit-learn, XGBoost, PySpark, etc.)
SQL
Statistics and quantitative research methods
Exceptional ability to translate technical detail into business value
Strong analytical thinking and structured problem-solving
Comfortable operating independently as an embedded resource
Excellent written and spoken English (fluent and idiomatic)
Preferred
MA/MS in Data Science, Computer Science, Business Analytics, or similar — an advantage
Experience working with healthcare, life sciences, or regulated data environments — strong advantage
Data visualization tools (Tableau, Power BI — advantage)