Director, Commercial Insights & Analytics

We need to output HTML fragment with sections: About the role? The posting includes mission description, role description. We need headings:

for section headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must include only sections with real specific content. We have content for About the role (intro), Responsibilities (Essential Duties And Responsibilities), Requirements/Qualifications (What We're Looking For, Education & Experience). Benefits? There's mention of training, development, but not explicit benefits. Pay: salary range given. Schedule? Not mentioned. So we can include About the role, Responsibilities, Requirements (or Qualifications), Pay. Possibly Skills? Could combine with Requirements. We'll follow instruction: use headings for those sections only if content present. We must not repeat job title as heading. No Job ID. Remove boilerplate: cookie/navigation/legal/EEO etc. Remove "Agency And Third-Party Recruiter Notice", "Hologic, Inc. is proud to be an Equal Opportunity Employer". Also remove "So why join Hologic?" maybe that's benefits? It mentions training and development. Could be considered Benefits. But we need specific content: "comprehensive training when you join as well as continued development and training throughout your career". That's a benefit. So we can include Benefits section with that. Pay: salary range given. Schedule: none. Thus sections: About the role, Responsibilities, Benefits, Pay, Requirements (or Qualifications). We'll use Requirements heading for education/experience and skills. We need to preserve all substantive information, not invent or summarize away detail. Must not omit details. We'll need to include lists for duties etc. We'll parse the posting. About the role: first paragraph(s) up to "Job Summary". Actually the posting starts with mission description, then role description. We'll combine into About the role. Let's extract: "At Hologic , we are dedicated to empowering healthier lives through innovations that advance women’s health worldwide. As a global leader in breast health, gynecologic health, and diagnostics, our technologies help clinicians detect disease earlier, improve treatment decisions, and enhance patient outcomes for millions of women every year. Hologic 's mission is to enable healthier lives everywhere, every day, by combining scientific innovation with a deep commitment to improving healthcare for women. As the Director, Commercial Insights & Analytics, you will play a pivotal role in helping Hologic translate data into strategic action. This leader will partner closely with commercial, marketing, sales, and executive stakeholders to generate insights that drive growth, optimize market performance, and support business decisions across Hologic 's women’s health portfolio. By leveraging advanced analytics, market intelligence, customer insights, and performance metrics, you will help identify opportunities to expand access to life-changing technologies and ensure commercial investments are aligned with the needs of healthcare providers and patients. This role is ideal for a strategic, data-driven leader who is passionate about using analytics to influence business outcomes and support a mission-driven organization. Your work will directly contribute to the success of products and services that improve women’s health globally, while helping commercial teams better understand market dynamics, customer behavior, and growth opportunities. In doing so, you’ll have a meaningful impact not only on business performance, but also on the patients who ultimately benefit from Hologic 's innovations in healthcare." Then "Job Summary Reporting to the Senior Director, Commercial Operations, the Director, Commercial Insights & Analytics leads the analytics engine for Hologic's Diagnostic Solutions commercial organization. This leader owns the division's commercial analytics, insights, and reporting, is accountable for the commercial revenue forecast and the models that predict it, and serves as a primary analytics partner to Sales, Marketing, and Finance. They lead a multidisciplinary team spanning strategic and market analytics, channel analytics, self-service BI and reporting, and commercial and franchise analytics, and partner with the central enterprise data and platform team on the underlying data and platform while owning the commercial visualization and reporting layer built on top. This is a hands-on leadership role in a fast-paced, PE-owned environment with significant executive visibility. Success depends less on any single tool and more on judgment, ownership, and the ability to take an ambiguous problem and drive it to resolution. We are looking for a resourceful, accountable leader who builds trust quickly, collaborates seamlessly across functions, and consistently raises the bar for the team. The Director will set the multi-year analytics vision, complete the transition from retiring Qlik reporting to Power BI, and help guide how the organization adopts AI, starting with the team's own ways of working." That could be part of About the role or Responsibilities. But we have separate Responsibilities section later. We'll keep About the role as the introductory mission and role description up to before "Essential Duties And Responsibilities". Could include Job Summary as part of About. Now Responsibilities: list under "Essential Duties And Responsibilities". We'll need to capture each bullet. The text after that heading includes multiple paragraphs with semicolons separating duties. We need to turn into

• items. We must preserve all substantive information. Let's extract duties: "Leadership & Team Lead, coach, and develop a high-performing, multidisciplinary analytics team; set standards, prioritize incoming requests, and dynamically deploy capacity against the highest-value work.Assess and optimize team structure and role alignment to maximize impact, coverage, and development.Set and communicate a division-wide analytics vision and roadmap, building a culture of ownership, speed, and analytics-driven decision-making.Act as a trusted advisor to senior leadership and a seamless partner to Sales, Marketing, Finance, IT, and Operations." We need to split by semicolons and periods? The text uses semicolons and periods. We'll treat each clause separated by semicolon as a duty. Also after periods. Let's list: - Lead, coach, and develop a high-performing, multidisciplinary analytics team - Set standards, prioritize incoming requests, and dynamically deploy capacity against the highest-value work - Assess and optimize team structure and role alignment to maximize impact, coverage, and development - Set and communicate a division-wide analytics vision and roadmap, building a culture of ownership, speed, and analytics-driven decision-making - Act as a trusted advisor to senior leadership and a seamless partner to Sales, Marketing, Finance, IT, and Operations Next section: "Forecasting & Commercial Planning Own the commercial revenue forecast and the predictive models behind it, ensuring accurate, timely, and defensible forecasts.Partner across the commercial planning cycles (annual budget, quarterly forecast, and monthly business reviews) to align analytics and forecasting across Finance, Sales, and Commercial Operations." Split: - Own the commercial revenue forecast and the predictive models behind it, ensuring accurate, timely, and defensible forecasts - Partner across the commercial planning cycles (annual budget, quarterly forecast, and monthly business reviews) to align analytics and forecasting across Finance, Sales, and Commercial Operations Next: "Analytics, Reporting & AI Oversee the design and delivery of predictive market and revenue models, segmentation, and ad hoc analyses that inform go-to-market strategy and executive decisions.Serve as a primary analytics partner to the Commercial organization, supporting campaign, product, portfolio, and go-to-market decisions with data and insight.Ensure a reliable, self-service reporting environment (Power BI) for leadership and partner teams, and complete the migration from retiring Qlik reporting.Help guide AI adoption (e.g., Claude) across the function, championing AI-enabled ways of working within the team and informing the broader analytics direction.Oversee the competitive, market, franchise, and channel intelligence produced by the team to proactively inform commercial strategy and executive reviews." Split: - Oversee the design and delivery of predictive market and revenue models, segmentation, and ad hoc analyses that inform go-to-market strategy and executive decisions - Serve as a primary analytics partner to the Commercial organization, supporting campaign, product, portfolio, and go-to-market decisions with data and insight - Ensure a reliable, self-service reporting environment (Power BI) for leadership and partner teams, and complete the migration from retiring Qlik reporting - Help guide AI adoption (e.g., Claude) across the function, championing AI-enabled ways of working within the team and informing the broader analytics direction - Oversee the competitive, market, franchise, and channel intelligence produced by the team to proactively inform commercial strategy and executive reviews Next: "Partnership & Governance Partner with IT and BI on the enterprise data foundation (architecture, pipelines, governance, and the Databricks lake): IT owns the master data and core lake, while this team owns the commercial visualization and reporting layer built on top.Review the commercial data and structures IT sets up in the lake (e.g., Databricks) and provide feedback to ensure business adjustments and definitions are correctly reflected before the data flows into reporting and decisions.Manage market research and data vendor relationships and budgets, ensuring quality, ROI, and dependable delivery.Collaborate with Pricing and other Commercial Operations teams as needed to support shared commercial objectives.Lead change management and adoption for analytics and AI innovations across the Diagnostic Solutions division." Split: - Partner with IT and BI on the enterprise data foundation (architecture, pipelines, governance, and the Databricks lake): IT owns the master data and core lake, while this team owns the commercial visualization and reporting layer built on top - Review the commercial data and structures IT sets up in the lake (e.g., Databricks) and provide feedback to ensure business adjustments and definitions are correctly reflected before the data flows into reporting and decisions - Manage market research and data vendor relationships and budgets, ensuring quality, ROI, and dependable delivery - Collaborate with Pricing and other Commercial Operations teams as needed to support shared commercial objectives - Lead change management and adoption for analytics and AI innovations across the Diagnostic Solutions division Now Requirements/Qualifications: "What We're Looking For" paragraph plus "Education & Experience". What We're Looking For text: "Proven people leader who develops talent and earns trust quickly; brings an ownership mentality, a bias to action, and a resourceful, solutions-oriented approach in a fast-paced, high-visibility, PE-owned environment.Strong analytical and technical fluency: able to lead an analytics team, set BI and AI strategy, and partner credibly with IT. Deep familiarity with Power BI and modern cloud data platforms (e.g., Databricks; Snowflake or similar acceptable) and an understanding of predictive and machine-learning methods (hands-on coding not required).Demonstrated ownership of revenue forecasting or predictive commercial models.Comfort with, or strong aptitude for, AI-enabled analytics (e.g., Claude) as a way to elevate the team's output.Outstanding executive communication, facilitation, and stakeholder-management skills; able to translate complex analysis into decisions for senior leaders.Demonstrated change leadership and delivery in ambiguous, fast-moving environments." We need to split into items. Split by semicolons and periods. - Proven people leader who develops talent and earns trust quickly - Brings an ownership mentality, a bias to action, and a resourceful, solutions-oriented approach in a fast-paced, high-visibility, PE-owned environment - Strong analytical and technical fluency: able to lead an analytics team, set BI and AI strategy, and partner credibly with IT - Deep familiarity with Power BI and modern cloud data platforms (e.g., Databricks; Snowflake or similar acceptable) and an understanding of predictive and machine-learning methods (hands-on coding not required) - Demonstrated ownership of revenue forecasting or predictive commercial models - Comfort with, or strong aptitude for, AI-enabled analytics (e.g., Claude) as a way to elevate the team's output - Outstanding executive communication, facilitation, and stakeholder-management skills; able to translate complex analysis into decisions for senior leaders - Demonstrated change leadership and delivery in ambiguous, fast-moving environments Education & Experience: "Bachelor's degree required; MBA or a master's in a quantitative or technical field preferred.Minimum 10-12 years of progressive experience in commercial analytics, insights, or commercial operations, including leading multidisciplinary teams and advising executive leadership.Track record of building revenue forecasts or predictive commercial models and delivering measurable business impact through analytics and AI.Experience partnering with IT and data teams on enterprise BI and data platforms (e.g., Power BI, Databricks)." Split: