Lead SNC’s enterprise business integrated AI and Business Intelligence initiatives by designing and deploying scalable, ontology-driven solutions
Drive digital transformation through advanced analytics, semantic data modeling, and integration of cutting-edge tools
Own and optimize BI and AI platforms (e.g., Palantir Foundry, Azure AI Foundry) to enable scalable, production-ready solutions
Build and maintain semantic models to unify data across systems, supporting interoperability and advanced analytics
Implement and manage data ecosystems using Microsoft Fabric, Foundry, OpenPDM, and Neo4J for graph-based knowledge representation
Drive enterprise-wide BI initiatives, enabling actionable insights and data-driven decision-making
Promote BI versus AI literacy and innovation through programs and internal enablement using the right expertise within SNC and external partners

Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field
10+ years of experience in data science, with at least 2 years in a leadership role
Higher level relevant degree may substitute for experience
Relevant experience can be considered as a substitute for the required educational qualifications
In the absence of a degree, a minimum of 14 years of related experience is required
Proven experience in AI/ML deployment at scale and BI strategy
Expertise in ontology-based data management and graph technologies
Hands-on experience with ontology tools such as Fabric, Foundry, OontoMe, OWLGrEd, Protégé, etc
Strong leadership and stakeholder engagement skills
Extensive experience with advanced machine learning algorithms and data modeling
Experience managing multiple projects and teams
Proficiency in data visualization tools (e.g., Tableau, Power BI)
Strong ability to prioritize and communicate to technical and non-technical audiences
Solid applied statistics skills, such as distributions, statistical testing, regression, etc.
Understanding of machine learning techniques and algorithms, Large Language Models (LLMs)/Generative AI.

Data Science Manager II

Key skills