Sr Director, Clinical Excellence Group Lead (I&I)

The user wants me to reformat a job posting into clean, well-structured semantic HTML. I need to follow the rules: 1. Use

for section headings (About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule) 2. Use

• for lists of duties/requirements/benefits, and

  for prose 3. Do NOT repeat the job title as a heading 4. Do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short

  or drop it 5. Preserve ALL substantive information; do NOT invent or summarize away detail 6. Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions 7. Include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text 8. Never create Pay/Schedule/Benefits sections unless the posting actually states them 9. Prefer a few substantive sections over many thin ones 10. Output ONLY the HTML fragment — no /, no markdown code fences Let me analyze the job posting content: The posting has: - An introductory paragraph about the role - Key Responsibilities section with subsections: - Team Leadership & Change Management - Business Operations & Enterprise Strategy - AI-Enabled Clinical Development & Innovation - Core Clinical Leadership - Qualifications section with: - Basic Qualifications (Education, Experience, Leadership, Business Acumen, Communication, AI & Digital Expertise) - Preferred Qualifications - Competencies for Success (Enterprise Mindset, Change Agility, Digital Fluency, Balanced Judgment, Emotional Intelligence, Drive for Results) - Pay information (salary range, bonus, LTI) - Benefits information (401k, vacation, leave, health benefits) - Location/pay transparency notes - Relocation assistance - Work authorization/visa sponsorship info - Sunshine Act info - EEO & Employment Eligibility boilerplate I need to structure this into appropriate sections. The rules say to use

  for section headings like "About the role", "Responsibilities", "Requirements", "Qualifications", "Skills", "Benefits", "Pay", "Schedule". I should create sections for: 1. About the role (the introductory paragraph) 2. Responsibilities (with the four subsections as lists) 3. Qualifications (Basic and Preferred) 4. Competencies (the six competencies) 5. Pay (salary range, bonus, LTI) 6. Benefits (the listed benefits) I should NOT include: - Location/pay transparency notes (minor metadata) - Relocation assistance (minor) - Work authorization/visa sponsorship (boilerplate) - Sunshine Act (legal boilerplate) - EEO & Employment Eligibility (boilerplate) Let me structure the HTML:

  About the role

  ...

  Responsibilities

  Team Leadership & Change Management

  • ...
  ...

  Business Operations & Enterprise Strategy

  • ...
  ...

  AI-Enabled Clinical Development & Innovation

  • ...
  ...

  Core Clinical Leadership

  • ...
  ...

  Qualifications

  Basic Qualifications

  • ...
  ...

  Preferred Qualifications

  • ...
  ...

  Competencies for Success

  • ...
  ...

  Pay

  ...

  Benefits

  • ...
  ...
  Wait, the rules say use

  for section headings. Should I use

  for subsections? The rules don't specify, but using

  for subsections within Responsibilities seems appropriate. However, the rules only mention

  for section headings. I'll use

  for main sections and maybe

  for subsections, or just use

  for all headings. But the rules say "use

  for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)". So I should use

  for those main sections. For subsections within Responsibilities, I could use

  or just make them list items with bold text. But the content has clear subsections. I think using

  is fine as it's semantic HTML. But the instruction says "Output ONLY the HTML fragment". I'll include

  for subsections. Now, let me extract the content. First, the introductory paragraph: "The Inflammation & Immunology Clinical Excellence & Innovation organization is seeking an experienced and enterprise-minded clinical development leader to serve as Senior Director, Clinical Excellence Group Lead. This highly visible role provides strategic clinical, scientific, operational, and people leadership across a portfolio of complex clinical development programs. The successful candidate will lead and develop a team of clinical scientists while ensuring oversight of clinical integrity, scientific quality, patient safety, and disciplined execution across studies within the Dermatology Franchise. This leader will also help advance new ways of working, including the responsible integration of AI-enabled, digital, data, and advanced analytics capabilities to improve clinical development quality, speed, and decision-making. As a senior change leader within a highly experienced matrix organization, this individual will bring strategic clarity, operational discipline, and collaborative influence to address portfolio challenges, optimize resource allocation, and scale effective solutions across the clinical trial lifecycle." That goes under About the role. Responsibilities: four subsections with bullet points. Team Leadership & Change Management: - Lead, mentor, and develop a team of high-performing clinical scientists, fostering a culture of collaboration, accountability, continuous learning, intellectual curiosity, and agility. - Act as a change champion, guiding a highly tenured organization through digital transformation and new ways of working. - Drive change management initiatives that encourage the adoption of innovative tools and process optimizations without compromising scientific rigor. - Build strong, collaborative partnerships with Clinical Operations, Data Science, Biostatistics, Digital/Technology, Regulatory, Medical Affairs, Portfolio Strategy, and Business Operations to align clinical science objectives with broader enterprise goals. - Portfolio planning, lifecycle management, and evaluation of future growth opportunities. Business Operations & Enterprise Strategy: - Apply strong business acumen to identify operational bottlenecks within clinical development and lead cross-functional workstreams to design and implement scalable solutions. - Partner with cross-functional teams on enterprise initiatives to develop and implement fit-for-purpose operating practices, tools, and governance approaches that enable a well-controlled, flexible organization with strong fiscal management, cross-team communication, and efficient workflows. - Establish and leverage standardized frameworks to evaluate clinical program designs, resource needs, and workflows through an operational efficiency lens, ensuring resources are optimized and key milestones are supported. - Support generating business insights, metrics, and dashboards to inform decision-making, monitor therapeutic area performance, and identify opportunities to improve quality, speed, productivity, and portfolio impact. - Navigate a complex matrix environment with an enterprise mindset, ensuring that innovation strategies in I&I can scale and align with broader Pfizer corporate objectives. AI-Enabled Clinical Development & Innovation: - Partner closely with data science, digital, and technology teams to translate complex AI use cases into practical, scalable, compliant workflows for study teams. - Lead the identification, strategic development, and implementation of AI/ML and advanced analytics tools to optimize clinical trial design and execution. - Direct applied AI/ML approaches across the continuum, including: - Protocol design and optimization - Site selection and feasibility assessment - Patient recruitment and enrollment strategies - Query management and workflow automation - Data cleaning, anomaly detection, and signal identification - Safety risk prediction and proactive mitigation. - Incorporate AI-derived insights and data-driven approaches into overarching clinical strategy and regulatory deliverables. Core Clinical Leadership: - Oversee the clinical execution and integrity of a portfolio of high-complexity clinical studies within the I&I dermatology pipeline. - Provide senior-level clinical oversight in protocol design, development, and strategic clinical documentation (protocols, CSRs, regulatory submissions). - Oversee study delivery, quality, and operational excellence. - Serve as a senior clinical escalation point and strategic partner for Product Team Leads, Global Development Leads, investigators, and internal study teams. - Contribute to evaluation of external opportunities, business development assessments, or due diligence activities as needed, based on clinical expertise, therapeutic area knowledge, and project-specific needs. Qualifications: Basic Qualifications: - Education: Advanced scientific or clinical degree required; PhD, PharmD, or equivalent advanced degree strongly preferred. - Experience: 10+ years of progressive clinical research and development experience in the pharmaceutical or biotechnology industry, including demonstrated experience supporting global clinical programs in regulated GxP environments. - Leadership: Proven people leadership experience with a track record of building, mentoring, developing, and inspiring high-performing clinical or cross-functional teams. - Business Acumen: Demonstrated ability to bridge clinical science with business operations, successfully leading cross-functional workstreams to solve complex operational challenges. - Communication: Exceptional executive presence and communication skills, with the ability to influence without authority across all levels of a matrixed organization. - AI & Digital Expertise: Demonstrated strategic or applied experience using AI, machine learning, automation, digital tools, or advanced analytics to improve clinical development, research, or operational workflows. - Familiarity with AI-enabled clinical development use cases, such as protocol optimization, recruitment and enrollment planning, data review, query management, safety risk prediction, or workflow automation. - Proven ability to partner with data science, digital, technology, clinical operations, bioinformatics, commercial, medical affairs, and other business stakeholders to define requirements, shape use cases, and support deployment of technical solutions. - Strong understanding of data governance, model risk, compliance, privacy, and ethical AI considerations in pharmaceutical development. Preferred Qualifications: - Demonstrated strategic experience applying AI, machine learning, automation, digital tools, or advanced analytics to optimize clinical development, research, or portfolio decision-making. - Deep subject matter expertise in Inflammation & Immunology dermatology area. - Direct experience leading organizational change management or digital transformation initiatives. - Experience with real-world data, digital endpoints, and decentralized or innovative clinical trial technologies. - Experience in portfolio strategy, resource planning, financial modeling, or business analytics. Competencies for Success: - Enterprise Mindset: Demonstrates experience operating beyond a single study, function, or therapeutic area by connecting clinical science, portfolio priorities, operational execution, regulatory expectations, and enterprise business objectives. Makes decisions that optimize value for patients, the portfolio, and the broader organization. - Change Agility: Brings a proven track record of leading teams through ambiguity, transformation, and new ways of working. Constructively challenges legacy processes, builds alignment across stakeholders, and translates change strategies into practical actions that improve quality, speed, and effectiveness. - Digital Fluency: Demonstrates practical experience applying digital, data, AI/ML, automation, or advanced analytics capabilities to improve clinical development workflows. Partners effectively with technical teams, defines meaningful use cases, and ensures solutions are scalable, compliant, and adopted by end users. - Balanced Judgment: Applies strong scientific, clinical, operational, and regulatory judgment when evaluating risks, trade-offs, and opportunities. Pursues innovation responsibly while safeguarding patient safety, data integrity, compliance, and scientific rigor. - Emotional Intelligence: Demonstrates the interpersonal maturity, self-awareness, and influence skills required to lead in a complex matrix environment. Builds trust, listens actively, manages conflict constructively, and brings experienced colleagues along through change with credibility, empathy, and clarity. - Drive for Results: Demonstrates a consistent record of setting ambitious goals, translating strategy into clear priorities, and delivering measurable outcomes in complex clinical development environments. Holds self and teams accountable, removes barriers, makes timely decisions, and drives disciplined execution while