Director, Global Commercialization, Advanced Analytics & AI
for section headings: e.g., About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We should not repeat job title as heading. We need to include sections only when posting has real specific content. We have content for responsibilities (Key Responsibilities), experience and qualifications (Experience And Qualifications), leadership capabilities (maybe part of qualifications), ideal candidate profile (maybe part of qualifications), what success looks like (maybe not needed). Also we have work arrangement (flexibility) which could be Schedule. We have salary band (Pay). Benefits: there is a paragraph about benefits when you join Genmab (401k, health, etc). So we can include Benefits section.
We need to preserve all substantive info, not invent. Remove boilerplate like EEO, navigation, etc. The posting includes some fluff at start about Genmab mission; that could be considered "About the role"? Actually "About the role" could be the introductory description of the role (The Opportunity). We'll put that under About the role
with paragraphs.
Responsibilities: we have bullet list under Key Responsibilities with subheadings (AI Capability Build and Deployment, Governance and Responsible AI, Commercial Analytics and Decision Support, Cross-Functional Influence and Stakeholder Partnership). We need to use - for any list of duties/requirements/benefits. So we can create a list of responsibilities, each item maybe a paragraph? The instruction: Use
- for any list of duties/requirements/benefits. So we should put each responsibility as
- . Could also include sub-bullets? Probably just top-level.
Requirements: maybe combine Experience And Qualifications and Leadership Capabilities? The heading "Requirements" could contain experience and qualifications. We'll put
Requirements
with - for each bullet.
Qualifications: maybe education? But we can combine with Requirements. However we need to avoid thin sections. Could have one section "Requirements" covering experience, qualifications, leadership capabilities. Or separate "Qualifications" for education and "Skills" for capabilities. But we need to avoid filler. Let's see content: Experience And Qualifications includes bullet points: 12+ years experience, demonstrated experience deploying AI, deep understanding of data sources, experience establishing data governance, proven ability to translate concepts, experience working within commercial functions, Bachelor's degree required; advanced degree preferred. Then Leadership Capabilities list: Strategic Thinking and Vision, Influence Without Authority, Commercial Judgment, Governance and Accountability, Communication and Simplification. Those are more like skills/competencies. Could be under Skills.
Thus we can have:
- About the role (intro)
- Responsibilities (list)
- Requirements (experience + qualifications bullets)
- Skills (leadership capabilities)
- Benefits (benefits paragraph)
- Pay (salary band)
- Schedule (work arrangement)
We must not include sections with placeholder text. All have content.
We need to preserve all substantive info: include details like salary band numbers, work arrangement details, benefits details.
We must not include job ID/requisition numbers (none). Remove boilerplate like "For US based candidates, the proposed salary band..." we keep that as Pay.
We must not repeat job title as heading.
We must output only HTML fragment, no /, no markdown fences.
Let's craft.
Structure:
About the role
Genmab is creating the Director, Global Commercialization, Advanced Analytics & AI role to build and govern a cohesive AI-enabled analytics capability within the Business Intelligence & Analytics function. This is a foundational role at a pivotal moment: Genmab's commercial portfolio is growing in complexity, the demand for faster and more confident decision-making is accelerating, and the opportunity to embed artificial intelligence into commercial operations has never been more actionable. The Director, Advanced Analytics & AI will operate as an individual contributor with significant cross-functional influence, serving as the internal architect of Genmab's advanced analytics and AI capability within BI&A. The role spans both building — standing up AI tools, analytics frameworks, and data products — and governing — establishing standards, oversight structures, and responsible AI practices that ensure consistent, high-quality output across forecasting, competitive intelligence, primary market research, and commercial analytics. This is not a support function. The Director, Global Commercialization, Advanced Analytics & AI will shape how Genmab's commercial teams make decisions, allocate resources, and measure performance — with AI and advanced analytics as the enabling mechanism.
Responsibilities
- AI Capability Build and Deployment: Identify, evaluate, and deploy AI-enabled tools and analytics capabilities that materially improve the speed, quality, and consistency of commercial decision-making within BI&A; partner with internal technology stakeholders and external vendors to define the AI product roadmap for BI&A, prioritizing use cases with the highest commercial impact across forecasting, CI, PMR, and performance analytics; develop and deploy advanced analytics solutions — including predictive models, NLP-based intelligence tools, and AI-assisted forecasting — that become embedded in day-to-day BI&A workflows; evaluate and integrate emerging AI platforms (including tools such as Frontier and others in the GCO ecosystem) to determine fit, scalability, and governance requirements before enterprise adoption; build reusable frameworks, prompt libraries, and analytical templates that enable BI&A team members to leverage AI effectively without requiring deep technical expertise.
- Governance and Responsible AI: Establish and maintain an AI governance framework for BI&A — covering data quality standards, model validation, output review protocols, privacy compliance, and responsible use guidelines consistent with Genmab's enterprise policies; define clear standards for when and how AI-generated outputs are used in commercial decision-making, ensuring transparency, auditability, and appropriate human oversight; serve as BI&A's primary point of accountability for AI risk identification and mitigation, partnering with Legal, Compliance, and Digital & Technology to ensure alignment with evolving regulatory expectations; develop and maintain documentation and training resources that enable consistent, compliant AI use across all BI&A capabilities.
- Commercial Analytics and Decision Support: Translate complex commercial data — spanning syndicated sources (IQVIA, Symphony), patient-level analytics, primary market research, and competitive intelligence — into AI-augmented insights that drive faster and more confident decision-making; collaborate with Forecasting, CI, PMR, and Analytics leads within BI&A to identify where AI can reduce cycle time, improve accuracy, or expand analytical depth without compromising integrity; support the development of executive-ready commercial narratives by enabling AI-assisted synthesis, scenario modeling, and performance reporting at the brand, portfolio, and enterprise level; contribute to Long-Range Planning, brand planning, and governance body deliverables (CDT, PFB) by embedding AI-enabled analytical capabilities into established commercial planning processes.
- Cross-Functional Influence and Stakeholder Partnership: Operate as a trusted internal advisor on AI and advanced analytics to BI&A leadership and GCO commercial partners — influencing priorities, investments, and ways of working without direct people management authority; build strong dotted-line relationships across Commercial, Medical Affairs, Market Access, Finance, and Digital & Technology to ensure advanced analytics and AI capabilities are aligned with broader organizational needs; represent BI&A in enterprise-wide AI and data strategy discussions, ensuring the commercial analytics perspective is reflected in platform decisions and technology investments; communicate complex AI concepts and analytical frameworks clearly to non-technical commercial audiences, building organizational confidence in AI-enabled decision-making.
Requirements
- 12+ years of progressive experience in commercial analytics, data science, or business intelligence within the biopharmaceutical or life sciences industry.
- Demonstrated experience deploying AI and advanced analytics tools in a commercial or business intelligence context — including hands-on work with LLMs, NLP, predictive modeling, or AI-assisted analytics platforms.
- Deep understanding of pharmaceutical commercial data sources, including IQVIA, Symphony Health, patient-level claims data, EHR, and specialty pharmacy data.
- Experience establishing data governance frameworks, AI use standards, or analytics quality protocols in a regulated industry context.
- Proven ability to translate complex analytical concepts into clear, actionable business recommendations for executive audiences.
- Experience working within or alongside commercial functions including Forecasting, Competitive Intelligence, Primary Market Research, and/or Commercial Analytics.
- Bachelor's degree required; advanced degree in Data Science, Analytics, Business, Statistics, Computer Science, or a related discipline strongly preferred.
Skills
- Strategic Thinking and Vision – defines a clear long-term vision for advanced analytics and AI within BI&A; anticipates where AI will create the greatest commercial value and builds toward it systematically.
- Influence Without Authority – builds credibility through expertise and demonstrated results; navigates a matrixed organization to align stakeholders and drive adoption without formal reporting relationships.
- Commercial Judgment – understands what commercial leaders need to make better decisions and prioritizes AI investments accordingly — not technology for its own sake, but capability that drives measurable business impact.
- Governance and Accountability – holds a high bar for quality, consistency, and responsible use; builds systems and standards that sustain performance over time rather than optimizing for short-term output.
- Communication and Simplification – translates technical complexity into clear business language; makes AI legible and approachable for commercial partners while maintaining analytical rigor.
Benefits
Within the first year, regular full-time U.S. employees are eligible for: 401(k) Plan: 100% match on the first 6% of contributions; Health Benefits: Two medical plan options (including HDHP with HSA), dental, and vision insurance; Voluntary Plans: Critical illness, accident, and hospital indemnity insurance; Time Off: Paid vacation, sick leave, holidays, and 12 weeks of discretionary paid parental leave; Support Resources: Access to child and adult backup care, family support programs, financial wellness tools, and emotional well-being support; Additional Perks: Commuter benefits, tuition reimbursement, and a Lifestyle Spending Account for wellness and personal expenses.
Pay
For US based candidates, the proposed salary band for this position is $194,720.00---$292,080.00. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Certain positions are eligible for additional forms of compensation, such as discretionary bonuses and long-term incentives.
Schedule
Work arrangement: This role offers flexibility to work away from the office for 20%–40% of a typical schedule. Employees may use this work schedule in increments of single days or multiple consecutive days, provided it does not exceed 40% within a 60-day period, and is approved by the hiring manager.
Check that we didn't include any boilerplate like EEO etc. We omitted the "About Genmab" description at the end (the company overview). That is not directly about the role; could be considered "About the role"? But we already have About the role covering the opportunity. The company overview could be omitted as not specific to role. The instruction: Preserve ALL substantive information; do NOT invent or summarize away detail. The company overview is substantive but not about the role; however it's still part of posting. Should we include it? The instruction says "Preserve ALL substantive information". It doesn't restrict to role-specific only. So we might need to include that as well. Could add an About Genmab
but we only allowed headings from list: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. The instruction says: use for section headings (e.g
- for any list of duties/requirements/benefits. So we should put each responsibility as
- . Could also include sub-bullets? Probably just top-level.
Requirements: maybe combine Experience And Qualifications and Leadership Capabilities? The heading "Requirements" could contain experience and qualifications. We'll put
Requirements
with- for each bullet.
Qualifications: maybe education? But we can combine with Requirements. However we need to avoid thin sections. Could have one section "Requirements" covering experience, qualifications, leadership capabilities. Or separate "Qualifications" for education and "Skills" for capabilities. But we need to avoid filler. Let's see content: Experience And Qualifications includes bullet points: 12+ years experience, demonstrated experience deploying AI, deep understanding of data sources, experience establishing data governance, proven ability to translate concepts, experience working within commercial functions, Bachelor's degree required; advanced degree preferred. Then Leadership Capabilities list: Strategic Thinking and Vision, Influence Without Authority, Commercial Judgment, Governance and Accountability, Communication and Simplification. Those are more like skills/competencies. Could be under Skills.
Thus we can have:
- About the role (intro)
- Responsibilities (list)
- Requirements (experience + qualifications bullets)
- Skills (leadership capabilities)
- Benefits (benefits paragraph)
- Pay (salary band)
- Schedule (work arrangement)
We must not include sections with placeholder text. All have content.
We need to preserve all substantive info: include details like salary band numbers, work arrangement details, benefits details.
We must not include job ID/requisition numbers (none). Remove boilerplate like "For US based candidates, the proposed salary band..." we keep that as Pay.
We must not repeat job title as heading.
We must output only HTML fragment, no /, no markdown fences.
Let's craft.
Structure:
About the role
Genmab is creating the Director, Global Commercialization, Advanced Analytics & AI role to build and govern a cohesive AI-enabled analytics capability within the Business Intelligence & Analytics function. This is a foundational role at a pivotal moment: Genmab's commercial portfolio is growing in complexity, the demand for faster and more confident decision-making is accelerating, and the opportunity to embed artificial intelligence into commercial operations has never been more actionable. The Director, Advanced Analytics & AI will operate as an individual contributor with significant cross-functional influence, serving as the internal architect of Genmab's advanced analytics and AI capability within BI&A. The role spans both building — standing up AI tools, analytics frameworks, and data products — and governing — establishing standards, oversight structures, and responsible AI practices that ensure consistent, high-quality output across forecasting, competitive intelligence, primary market research, and commercial analytics. This is not a support function. The Director, Global Commercialization, Advanced Analytics & AI will shape how Genmab's commercial teams make decisions, allocate resources, and measure performance — with AI and advanced analytics as the enabling mechanism.
Responsibilities
- AI Capability Build and Deployment: Identify, evaluate, and deploy AI-enabled tools and analytics capabilities that materially improve the speed, quality, and consistency of commercial decision-making within BI&A; partner with internal technology stakeholders and external vendors to define the AI product roadmap for BI&A, prioritizing use cases with the highest commercial impact across forecasting, CI, PMR, and performance analytics; develop and deploy advanced analytics solutions — including predictive models, NLP-based intelligence tools, and AI-assisted forecasting — that become embedded in day-to-day BI&A workflows; evaluate and integrate emerging AI platforms (including tools such as Frontier and others in the GCO ecosystem) to determine fit, scalability, and governance requirements before enterprise adoption; build reusable frameworks, prompt libraries, and analytical templates that enable BI&A team members to leverage AI effectively without requiring deep technical expertise.
- Governance and Responsible AI: Establish and maintain an AI governance framework for BI&A — covering data quality standards, model validation, output review protocols, privacy compliance, and responsible use guidelines consistent with Genmab's enterprise policies; define clear standards for when and how AI-generated outputs are used in commercial decision-making, ensuring transparency, auditability, and appropriate human oversight; serve as BI&A's primary point of accountability for AI risk identification and mitigation, partnering with Legal, Compliance, and Digital & Technology to ensure alignment with evolving regulatory expectations; develop and maintain documentation and training resources that enable consistent, compliant AI use across all BI&A capabilities.
- Commercial Analytics and Decision Support: Translate complex commercial data — spanning syndicated sources (IQVIA, Symphony), patient-level analytics, primary market research, and competitive intelligence — into AI-augmented insights that drive faster and more confident decision-making; collaborate with Forecasting, CI, PMR, and Analytics leads within BI&A to identify where AI can reduce cycle time, improve accuracy, or expand analytical depth without compromising integrity; support the development of executive-ready commercial narratives by enabling AI-assisted synthesis, scenario modeling, and performance reporting at the brand, portfolio, and enterprise level; contribute to Long-Range Planning, brand planning, and governance body deliverables (CDT, PFB) by embedding AI-enabled analytical capabilities into established commercial planning processes.
- Cross-Functional Influence and Stakeholder Partnership: Operate as a trusted internal advisor on AI and advanced analytics to BI&A leadership and GCO commercial partners — influencing priorities, investments, and ways of working without direct people management authority; build strong dotted-line relationships across Commercial, Medical Affairs, Market Access, Finance, and Digital & Technology to ensure advanced analytics and AI capabilities are aligned with broader organizational needs; represent BI&A in enterprise-wide AI and data strategy discussions, ensuring the commercial analytics perspective is reflected in platform decisions and technology investments; communicate complex AI concepts and analytical frameworks clearly to non-technical commercial audiences, building organizational confidence in AI-enabled decision-making.
Requirements
- 12+ years of progressive experience in commercial analytics, data science, or business intelligence within the biopharmaceutical or life sciences industry.
- Demonstrated experience deploying AI and advanced analytics tools in a commercial or business intelligence context — including hands-on work with LLMs, NLP, predictive modeling, or AI-assisted analytics platforms.
- Deep understanding of pharmaceutical commercial data sources, including IQVIA, Symphony Health, patient-level claims data, EHR, and specialty pharmacy data.
- Experience establishing data governance frameworks, AI use standards, or analytics quality protocols in a regulated industry context.
- Proven ability to translate complex analytical concepts into clear, actionable business recommendations for executive audiences.
- Experience working within or alongside commercial functions including Forecasting, Competitive Intelligence, Primary Market Research, and/or Commercial Analytics.
- Bachelor's degree required; advanced degree in Data Science, Analytics, Business, Statistics, Computer Science, or a related discipline strongly preferred.
Skills
- Strategic Thinking and Vision – defines a clear long-term vision for advanced analytics and AI within BI&A; anticipates where AI will create the greatest commercial value and builds toward it systematically.
- Influence Without Authority – builds credibility through expertise and demonstrated results; navigates a matrixed organization to align stakeholders and drive adoption without formal reporting relationships.
- Commercial Judgment – understands what commercial leaders need to make better decisions and prioritizes AI investments accordingly — not technology for its own sake, but capability that drives measurable business impact.
- Governance and Accountability – holds a high bar for quality, consistency, and responsible use; builds systems and standards that sustain performance over time rather than optimizing for short-term output.
- Communication and Simplification – translates technical complexity into clear business language; makes AI legible and approachable for commercial partners while maintaining analytical rigor.
Benefits
Within the first year, regular full-time U.S. employees are eligible for: 401(k) Plan: 100% match on the first 6% of contributions; Health Benefits: Two medical plan options (including HDHP with HSA), dental, and vision insurance; Voluntary Plans: Critical illness, accident, and hospital indemnity insurance; Time Off: Paid vacation, sick leave, holidays, and 12 weeks of discretionary paid parental leave; Support Resources: Access to child and adult backup care, family support programs, financial wellness tools, and emotional well-being support; Additional Perks: Commuter benefits, tuition reimbursement, and a Lifestyle Spending Account for wellness and personal expenses.
Pay
For US based candidates, the proposed salary band for this position is $194,720.00---$292,080.00. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Certain positions are eligible for additional forms of compensation, such as discretionary bonuses and long-term incentives.
Schedule
Work arrangement: This role offers flexibility to work away from the office for 20%–40% of a typical schedule. Employees may use this work schedule in increments of single days or multiple consecutive days, provided it does not exceed 40% within a 60-day period, and is approved by the hiring manager.
Check that we didn't include any boilerplate like EEO etc. We omitted the "About Genmab" description at the end (the company overview). That is not directly about the role; could be considered "About the role"? But we already have About the role covering the opportunity. The company overview could be omitted as not specific to role. The instruction: Preserve ALL substantive information; do NOT invent or summarize away detail. The company overview is substantive but not about the role; however it's still part of posting. Should we include it? The instruction says "Preserve ALL substantive information". It doesn't restrict to role-specific only. So we might need to include that as well. Could add anAbout Genmab
but we only allowed headings from list: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. The instruction says: usefor section headings (e.g
- for each bullet.
Qualifications: maybe education? But we can combine with Requirements. However we need to avoid thin sections. Could have one section "Requirements" covering experience, qualifications, leadership capabilities. Or separate "Qualifications" for education and "Skills" for capabilities. But we need to avoid filler. Let's see content: Experience And Qualifications includes bullet points: 12+ years experience, demonstrated experience deploying AI, deep understanding of data sources, experience establishing data governance, proven ability to translate concepts, experience working within commercial functions, Bachelor's degree required; advanced degree preferred. Then Leadership Capabilities list: Strategic Thinking and Vision, Influence Without Authority, Commercial Judgment, Governance and Accountability, Communication and Simplification. Those are more like skills/competencies. Could be under Skills.
Thus we can have:
- About the role (intro)
- Responsibilities (list)
- Requirements (experience + qualifications bullets)
- Skills (leadership capabilities)
- Benefits (benefits paragraph)
- Pay (salary band)
- Schedule (work arrangement)
We must not include sections with placeholder text. All have content.
We need to preserve all substantive info: include details like salary band numbers, work arrangement details, benefits details.
We must not include job ID/requisition numbers (none). Remove boilerplate like "For US based candidates, the proposed salary band..." we keep that as Pay.
We must not repeat job title as heading.
We must output only HTML fragment, no /, no markdown fences.
Let's craft.
Structure: