Senior Manager, AI Implementation
About the role
The Global Commercial and Medical Affairs Technology team at BeOne is seeking a Senior Manager, AI implementation to help operationalize AI capabilities across Commercial and Medical teams. This role sits at the intersection of oncology data, customer and patient journey data, GenAI implementation, and enterprise data platforms.
Responsibilities
Lead creation and ongoing governance of a semantic layer on top of the commercial and medical data warehouse, including entities, attributes, definitions, metrics, business rules, relationships, lineage, and data quality expectations.
Partner with data engineering, BI, MDM, and business stakeholders to define how patient, HCP, account, field insight, engagement, journey, patient-level, and medical/commercial data assets should be represented for AI use.
Translate data definitions and business context into reusable metadata, ontologies, knowledge objects, and retrieval patterns that improve AI model grounding.
Support the design of an insight generation engine on top of the data and semantic layers, ensuring outputs are accurate, explainable, timely, and available through the appropriate BI and workflow layers.
Define evaluation criteria for data readiness, retrieval quality, insight accuracy, confidence, freshness, source attribution, and business actionability.
Career Development
Requirements
Bachelor's degree in AI, Data Science, Computer Science, Engineering, Statistics, Biomedical Informatics, Life Sciences, or a related quantitative/technical field; Master's degree preferred.
BS Degree with 7+ years of experience across data products, AI/ML, GenAI implementation, data engineering, BI, or commercial/medical technology in enterprise environments.
3+ years of recent oncology experience focused on patient journeys, patient-level data, customer/HCP engagement, commercial domain, medical domain, and related domain knowledge.
Strong understanding of pharmaceutical/biotech commercial and medical data ecosystems, including patient journey data, field insights, CRM/field activity, medical/commercial knowledge assets, omnichannel engagement, and BI/reporting layers.
Hands-on experience with GenAI/RAG concepts, including document ingestion, embeddings, vector databases, retrieval strategies, prompt engineering, grounding, evaluation, monitoring, and guardrails.
Coding proficiency in Python and SQL; ability to prototype independently and partner effectively with engineering teams.
Experience with data warehouse, lakehouse, and cloud platforms such as Snowflake, Databricks, AWS, Azure, or GCP; experience with BI tools such as Power BI, Tableau, Qlik, or similar preferred.
Familiarity with LLMOps/MLOps, APIs, workflow automation, data pipelines, and unstructured data processing.
Understanding of data privacy, security, compliance, and responsible AI practices in healthcare/life sciences environments.
Qualifications
Technical & Domain Expertise
Business Acumen & Leadership
Global Competencies
Benefits
Salary Range: $137,400.00 - $182,400.00 annually
BeOne is committed to fair and equitable compensation practices. Actual compensation packages are determined by several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, certifications, relevant education or training, and specific work location. Packages may vary by location due to differences in the cost of labor.