Senior Manager, AI Implementations

This is a fully remote position, open to applicants in California.

📋 Description

• Oversee the development and ongoing management of a semantic layer that integrates with the commercial and medical data warehouse.

• Collaborate with data engineering, business intelligence, master data management, and business stakeholders to establish how patient, healthcare provider, account, field insights, engagement, journey, patient-level, and medical/commercial data assets should be structured for AI applications.

• Convert data definitions and business context into reusable metadata, ontologies, knowledge objects, and retrieval patterns that enhance the grounding of AI models.

• Assist in designing an insight generation engine that utilizes both data and semantic layers.

• Establish evaluation criteria for data readiness, retrieval quality, insight accuracy, confidence, freshness, source attribution, and actionable business insights.

• Facilitate coordination among Commercial, Medical, field, compliance, privacy, legal, and technology teams to ensure that AI guardrails for free-text inputs and field-collected insights are properly implemented.

• Validate and continuously enhance RAG-based chat interfaces utilized by Commercial and Medical teams.

• Improve existing RAG and GenAI models to create meeting-ready presentations, briefs, summaries, talking points, and insight narratives derived from unstructured commercial and medical content.

• Ensure that end-to-end customer and patient journey solutions effectively leverage AI capabilities, firmly anchored in BeOne's data landscape.

• Write code and develop prototypes, scripts, prompts, evaluation harnesses, APIs, or workflow automations to test and expedite the introduction of new AI capabilities.

⛳️ Requirements

• Bachelor’s Degree with over 7 years of experience in data products, AI/ML, GenAI implementation, data engineering, business intelligence, or commercial/medical technology within enterprise settings.

• A minimum of 3 years of recent experience in oncology, concentrating on patient journeys, patient-level data, customer/healthcare provider engagement, commercial domain, medical domain, and associated domain knowledge.

• In-depth understanding of pharmaceutical and biotech commercial and medical data ecosystems, encompassing patient journey data, field insights, CRM/field activities, medical/commercial knowledge assets, omnichannel engagement, and BI/reporting layers.

• Experience in creating or managing semantic layers, data catalogs, business glossaries, metadata frameworks, ontologies, knowledge graphs, or metrics layers for AI applications.

• Practical knowledge of GenAI/RAG concepts, including document ingestion, embeddings, vector databases, retrieval strategies, prompt engineering, grounding, evaluation, monitoring, and guardrails.

• Proficient in coding with Python and SQL; capable of independently prototyping and collaborating effectively with engineering teams.

• Familiarity with data warehouses, lakehouses, and cloud platforms such as Snowflake, Databricks, AWS, Azure, or GCP; experience with BI tools like Power BI, Tableau, Qlik, or similar is preferred.

• Knowledge of LLMOps/MLOps, APIs, workflow automation, data pipelines, and unstructured data processing.

• Awareness of data privacy, security, compliance, and responsible AI practices within the healthcare and life sciences sectors.

🏝️ Benefits

• Medical

• Dental

• Vision

• 401(k)

• FSA/HSA

• Life Insurance

• Paid Time Off

• Wellness

• Employee Stock Purchase Plan