{"id":262095,"url":"https://alion.io/job/beone-medicines-senior-manager-ai-implementation","title":"Senior Manager, AI Implementation","company":{"id":99686,"name":"BeOne Medicines","domain":"beonemedicines.com","url":"https://alion.io/company/beonemedicines","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":19,"ghost_share":0,"stale_share":0.842,"repost_share":0,"time_to_fill_p50_days":41,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Management","role_family":"Management","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":147800,"max":192800,"currency":"USD","period":"year","gross":null,"usd_annual":192800},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"Hallucination","optional":false},{"name":"HIPAA","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"Copilot","optional":true},{"name":"Tokenization","optional":true}],"status":"live","first_seen_at":"2026-08-18T00:00:00Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-11-01T03:13:38Z","board_verified":true,"closed_at":null,"days_open":75,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":75},"description":"BeOne continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. When considering candidates, we look for scientific and business professionals who are highly motivated, collaborative, and most importantly, share our passionate interest in fighting cancer.\nGeneral Description:\nThe 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.\nThis role will help define the semantic layer over BeOne's commercial and medical data warehouse, ensuring structured and unstructured data assets are described consistently so AI models, RAG experiences, insight engines, and BI layers can leverage the right data with the right context.\nThe Senior Manager will coordinate with Commercial, Medical, Data Engineering, Data Science, Compliance, Privacy, and field teams to ensure free-text insight collection, RAG chat interfaces, AI-generated outputs, and customer journey solutions are implemented with appropriate guardrails, traceability, and business relevance.\nThe ideal candidate brings 3-5 years of recent oncology experience focused on patient journeys and patient-level data, strong familiarity with commercial and medical data ecosystems, and a hands-on builder mindset with the ability to write code, explore emerging platforms, and turn AI concepts into practical capabilities that make cross-functional workstreams more efficient.\nKey Responsibilities:\nSemantic Layer, Data Context & Insight Engine\nLead 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.\nPartner 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.\nTranslate data definitions and business context into reusable metadata, ontologies, knowledge objects, and retrieval patterns that improve AI model grounding.\nSupport 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.\nDefine evaluation criteria for data readiness, retrieval quality, insight accuracy, confidence, freshness, source attribution, and business actionability.\nCommercial & Medical AI Guardrails\nCoordinate across Commercial, Medical, field, compliance, privacy, legal, and technology teams to ensure AI guardrails for free-text inputs and field-collected insights are implemented correctly.\nEstablish practical operating procedures for acceptable use, input validation, sensitive data handling, prompt and response controls, human review, and exception management.\nMonitor adoption and quality of field insight capture workflows, identifying risks related to incomplete context, inconsistent terminology, duplication, bias, hallucination, or inappropriate data use.\nEnsure AI outputs appropriately reflect approved data sources, business rules, medical/legal/regulatory considerations, and commercial/medical operating boundaries.\nRAG, Chat & Knowledge Retrieval Solutions\nValidate and continuously improve RAG-based chat interfaces across Commercial and Medical teams, including source coverage, retrieval performance, answer quality, citation/traceability, feedback loops, and escalation paths.\nWork with teams to ensure data and unstructured knowledge assets are collected, curated, permissions-aware, and available for use in chat, summarization, insight, and assistant experiences.\nPartner with data science and engineering teams to refine embeddings, chunking strategies, metadata filters, prompt templates, evaluation datasets, and LLMOps/monitoring capabilities.\nDesign and run testing processes to confirm RAG outputs are accurate, grounded, consistent, and fit for use in business and medical workflows.\nAI-Generated Meeting-Ready Outputs\nEnhance existing RAG and GenAI models to generate meeting-ready decks, briefs, summaries, talking points, and insight narratives based on unstructured commercial and medical content.\nDefine reusable templates and quality checks for AI-generated presentation materials, including audience, purpose, key message, evidence, caveats, next-best-action, and source attribution.\nPartner with field, brand, medical, and other commercial teams to connect unstructured content with structured data and BI outputs so meeting materials are timely and decision ready.\nDrive adoption of automation that reduces manual preparation time while maintaining quality, compliance, and stakeholder trust.\nEnd-to-End Customer Journey & BI Integration\nEnsure end-to-end customer and patient journey solutions leverage AI capabilities in the intended manner, grounded in BeOne's data landscape and aligned to priority use cases.\nMap AI use cases to upstream data sources, semantic definitions, model workflows, BI outputs, CRM/field workflows, and user actions.\nPartner with Commercial and Medical teams to validate that AI-generated insights are reflected accurately and timely in dashboards, reporting layers, and performance-management routines.\nBring oncology patient journey expertise to ensure AI-driven insights are clinically and commercially meaningful, with appropriate granularity and limitations clearly understood.\nHands-on Prototyping & Enterprise Implementation\nWrite code and build prototypes, scripts, prompts, evaluation harnesses, APIs, or workflow automations to test and accelerate new AI capabilities.\nExplore emerging AI platforms, data products, and vendor capabilities; recommend practical fit-for-purpose solutions and help transition successful experiments into scalable delivery.\nEngage with Corporate Affairs, Procurement, Clinical, and other enterprise teams to identify and support AI solutions that improve efficiency in high-value tasks.\nProduce documentation, training, demos, and user guidance that help teams adopt AI responsibly and effectively.\nSupport roadmap planning, backlog prioritization, vendor coordination, delivery milestones, and measurement of value/impact.\nGovernance, Security & Compliance\nApply AI governance, model validation/evaluation, data privacy, information security, and regulatory expectations, including HIPAA, GDPR, GxP where applicable.\nDocument model assumptions, source data, prompts, retrieval configurations, known limitations, review controls, and audit trails.\nPartner with compliance, legal, privacy, and security teams to ensure patient-level data handling, role-based access controls, and promotional/medical content boundaries are respected.\nImplement monitoring and feedback mechanisms for accuracy, data quality, fairness, hallucination risk, user experience, and operational performance.\nEducation Required:\nBachelor's degree in AI, Data Science, Computer Science, Engineering, Statistics, Biomedical Informatics, Life Sciences, or a related quantitative/technical field; Master's degree preferred. \nQualifications:\nTechnical & Domain Expertise\nBS Degree with 7+ years of experience across data products, AI/ML, GenAI implementation, data engineering, BI, or commercial/medical technology in enterprise environments.\n3+ years of recent oncology experience focused on patient journeys, patient-level data, customer/HCP engagement, commercial domain, medical domain, and related domain knowledge.\nStrong 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.\nExperience building or governing semantic layers, data catalogs, business glossaries, metadata frameworks, ontologies, knowledge graphs, or metrics layers for AI use.\nHands-on experience with GenAI/RAG concepts, including document ingestion, embeddings, vector databases, retrieval strategies, prompt engineering, grounding, evaluation, monitoring, and guardrails.\nCoding proficiency in Python and SQL; ability to prototype independently and partner effectively with engineering teams.\nExperience 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.\nFamiliarity with LLMOps/MLOps, APIs, workflow automation, data pipelines, and unstructured data processing.\nUnderstanding of data privacy, security, compliance, and responsible AI practices in healthcare/life sciences environments.\nBusiness Acumen & Leadership\nAbility to translate ambiguous business needs into practical AI/data products and technical requirements.\nStrong cross-functional collaboration with Commercial, Medical, field teams, data science, engineering, BI, compliance, privacy, legal, procurement, corporate affairs, clinical, and vendor partners.\nExecutive-ready communication and storytelling skills; ability to explain AI outputs, data limitations, and recommended actions to technical and non-technical audiences.\nDemonstrated ability to drive adoption, standardization, and change management across matrixed teams.\nBuilder mindset; comfortable testing new tools, writing code, learning quickly, and moving from proof-of-concept to scalable capability.\nStrong project/product management skills, including prioritization, requirements definition, delivery coordination, and value measurement.\nNice to Have\nAdvanced degree in AI, data science, biomedical informatics, life sciences, computer science, statistics, engineering, or related field.\nExperience with oncology product launch, patient-level claims/EHR/EMR data, data tokenization/identity resolution, MDM, or customer 360 capabilities.\nExperience with automated deck generation, document intelligence, copilot/assistant experiences, or agentic workflows.\nExperience designing AI evaluation frameworks, prompt libraries, guardrail testing, and monitoring dashboards.\nExperience in commercial and medical data governance or AI governance committees.\nTravel\nEstimated 10-15%, primarily for key planning sessions, workshops, stakeholder reviews, or major launch initiatives.\nGlobal Competencies\nWhen we exhibit our values of Patients First, Driving Excellence, Bold Ingenuity and Collaborative Spirit, through our twelve global competencies below, we help get more affordable medicines to more patients around the world.\nFosters Teamwork\nProvides and Solicits Honest and Actionable Feedback\nSelf-Awareness\nActs Inclusively\nDemonstrates Initiative\nEntrepreneurial Mindset\nContinuous Learning\nEmbraces Change\nResults-Oriented\nAnalytical Thinking/Data Analysis\nFinancial Excellence\nCommunicates with Clarity\nSalary Range: $147,800.00 - $192,800.00 annuallyBeOne 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. The recruiter can share more about the specific salary range for a preferred location during the hiring process. Please note that the listed range reflects the base salary or hourly range only. Non-Commercial roles are eligible to participate in the annual bonus plan, and Commercial roles are eligible to participate in an incentive compensation plan. All Company employees have the opportunity to own shares of BeOne Medicines Ltd. stock because all employees are eligible for discretionary equity awards and to voluntarily participate...","description_format":"text","description_chars":12941,"description_truncated":true,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity","Life insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Biotechnology","Prescription Drugs","Biologics & Biosimilars","Oncology Therapeutics"],"lifecycle":[{"event":"open","at":"2026-09-05T11:55:45Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 30","filings_12m":30,"filings_prev_12m":14,"green_card_filings_12m":0,"median_offered_wage_usd":187500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":15,"band":"cold","label":"Long shot","p_open":1,"p_active":0.409,"p_room":0.36,"age_days":75,"expected_fill_days":41,"reasons":["conf:2","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-01T06:10:25Z"},"pay":{"stated_usd_annual":192800,"is_top_pay":true},"html_url":"https://alion.io/job/beone-medicines-senior-manager-ai-implementation","json_url":"https://alion.io/job/beone-medicines-senior-manager-ai-implementation.json","meta":{"generated_at":"2026-11-01T06:39:17Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":10232,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":99686},"rest":"https://alion.io/mcp/rest/get_company?id=99686"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbeone-medicines-senior-manager-ai-implementation"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fbeone-medicines-senior-manager-ai-implementation"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fbeone-medicines-senior-manager-ai-implementation"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/beone-medicines-senior-manager-ai-implementation\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbeone-medicines-senior-manager-ai-implementation"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":262095}},{"tool":"search_jobs","arguments":{"company":"beonemedicines.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":262095},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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