Sr Product Manager - Healthcare AI

We need to output HTML fragment with sections: About the role, Responsibilities (What You'll Do), Skills (Skills You'll Need), Preferred Skills maybe as part of Skills? Could separate but we need only sections with real content. Also Pay section: they gave Base Pay Range. So include Pay section. Benefits? They mention "competitive compensation package" and link but no specifics; we should not create Benefits unless specific. Schedule not given. So include About the role (the paragraph before About The Role?), Responsibilities (What You'll Do), Skills (Skills You'll Need), Preferred Skills maybe as separate? Could combine but better separate if content. Also include Pay. We must not repeat job title. No metadata like Job ID. Remove boilerplate: the intro paragraph about McKesson, the scam warning, EEO, etc. Also remove "Join us at McKesson!" etc. We need to preserve all substantive information: the role description, responsibilities list, skills list, preferred skills, pay range. We need to use

for section headings. Use

• for any list of duties/requirements/benefits. Use

  for prose. We must not create sections with filler like "commensurate with experience". Not needed. Let's extract content. Intro: "McKesson is an impact-driven, Fortune 10 company..." That's generic company description; maybe considered boilerplate? It's not a specific section heading; but it's substantive? It's about company. Might be considered boilerplate but it's not navigation/legal/EEO. The instruction: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The company overview might be okay to keep? It's not a heading; we could keep as a paragraph before sections? The instruction: "Output ONLY the HTML fragment". It didn't say to remove company overview. It's not a heading; we could keep it as a

  before sections. However they said "Prefer a few substantive sections over many thin ones." The company overview is generic but could be kept. I'd keep it as a

  before sections. Then "About The Role" heading: we need

  About The Role

  then paragraph: "The Senior Product Manager will own the Next Best Action initiative end to end: defining what “best” means for the users and workflows we serve, partnering with Data Science and Data Engineering to build the decisioning capability that gets there, and continuously improving it through experimentation. You’ll operate at the intersection of product strategy and applied AI/ML — not writing the models yourself, but framing the problems, prioritizing the signals, and holding the bar on measurement and responsible use." Then "What You’ll Do" heading:

  What You’ll Do

  then list items. List items from bullet points: - Drive product strategy for Next Best Action, grounding decisions in data, discovery, and research - Define which signals, use cases, and workflows the recommendation/decisioning engine should prioritize, and translate business and customer goals into a roadmap for the model and product experience - Partner closely with Data Science and ML Engineering to shape problem framing, success criteria, and trade-offs — bringing product judgment to model development without owning the modeling itself - Own the experimentation and measurement strategy for recommendations: define what “good” looks like, design A/B tests, and build feedback loops that continuously improve recommendation quality - Partner with Data Engineering on the data foundations — quality, access, and integration — that the recommendation engine depends on - Champion responsible AI practices, ensuring recommendations are fair, explainable, and compliant with healthcare regulatory and privacy requirements, in partnership with Legal, Privacy and Compliance - Navigate complexity across a large, matrixed organization — aligning stakeholders, clarifying tradeoffs, and building the trust needed to move work forward - Influence and align cross-functional partners across Engineering, Data Science, UX, Commercial, and Operations to gain buy-in on product direction and priorities - Own and communicate roadmap priorities to leadership, ensuring transparency on progress, tradeoffs, and decisions at every phase - Apply design thinking methodologies to solve complex problems, iterate on solutions, and drive MVP delivery and customer co-innovation opportunities Make each
• . Then "Skills You’ll Need" heading:

  Skills You’ll Need

  then list. List: - Degree or equivalent experience. Typically requires 7+ years of relevant experience - Healthcare Product Management experience or familiarity with technical product development methodologies (e.g., Agile) - Demonstrated fluency in data, AI, and machine learning concepts — enough to partner credibly with Data Science and ML Engineering on problem framing, model trade-offs, and evaluation metrics in a Healthcare setting - Experience defining and using experimentation (A/B testing) and quantitative measurement to guide product decisions - Experience working in cross-functional product teams spanning Engineering, Data Science, UX, Operations, and Commercial partners - Technical competency with direct experience in data and analytics, data science, or AI/ML, enough to partner credibly with Data Science and ML Engineering on problem framing, model trade-offs, and evaluation metrics - Healthcare experience, preferably Biopharma and/or Payer expertise Then "Preferred Skills" heading:

  Preferred Skills

  then list. List: - Prior experience building or launching a recommendation engine, decisioning system, or personalization capability - Familiarity with responsible AI principles (fairness, explainability, bias mitigation) and how they apply in a regulated healthcare context - Experience with healthcare technology, patient support programs, enrollment workflows, or HCP-facing products - Strong understanding of product-market dynamics, customer needs, and competitive landscapes - Financial acumen, including experience connecting product decisions to P&L outcomes and business goals - Proven stakeholder engagement and influence skills in matrixed environments - Ability to prioritize effectively across competing initiatives and drive alignment toward execution - Comfort operating in ambiguity with a bias toward action and continuous improvement Then Pay section:

  Pay

  then paragraph: "Base Pay Range for this position $119,300 - $198,800". Also mention that compensation determined by performance, experience, skills, equity, regular job market evaluations, geographical markets; base pay plus annual bonus or long-term incentive opportunities may be offered. We should include that as prose. We must not include benefits section because not specific. We must not include schedule. We must not include application instructions. We must not include EEO etc. We must not include scam warning. We must not include "Join us at McKesson!" We must not include the initial company overview? It's not a heading but could be considered boilerplate? It's generic but maybe okay. However the instruction: "Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions." The company overview is not those. So we can keep. Thus final HTML fragment:

  McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

  About The Role

  The Senior Product Manager will own the Next Best Action initiative end to end: defining what “best” means for the users and workflows we serve, partnering with Data Science and Data Engineering to build the decisioning capability that gets there, and continuously improving it through experimentation. You’ll operate at the intersection of product strategy and applied AI/ML — not writing the models yourself, but framing the problems, prioritizing the signals, and holding the bar on measurement and responsible use.

  What You’ll Do

  • Drive product strategy for Next Best Action, grounding decisions in data, discovery, and research
  • Define which signals, use cases, and workflows the recommendation/decisioning engine should prioritize, and translate business and customer goals into a roadmap for the model and product experience
  • Partner closely with Data Science and ML Engineering to shape problem framing, success criteria, and trade-offs — bringing product judgment to model development without owning the modeling itself
  • Own the experimentation and measurement strategy for recommendations: define what “good” looks like, design A/B tests, and build feedback loops that continuously improve recommendation quality
  • Partner with Data Engineering on the data foundations — quality, access, and integration — that the recommendation engine depends on
  • Champion responsible AI practices, ensuring recommendations are fair, explainable, and compliant with healthcare regulatory and privacy requirements, in partnership with Legal, Privacy and Compliance
  • Navigate complexity across a large, matrixed organization — aligning stakeholders, clarifying tradeoffs, and building the trust needed to move work forward
  • Influence and align cross-functional partners across Engineering, Data Science, UX, Commercial, and Operations to gain buy-in on product direction and priorities
  • Own and communicate roadmap priorities to leadership, ensuring transparency on progress, tradeoffs, and decisions at every phase
  • Apply design thinking methodologies to solve complex problems, iterate on solutions, and drive MVP delivery and customer co-innovation opportunities

  Skills You’ll Need

  • Degree or equivalent experience. Typically requires 7+ years of relevant experience
  • Healthcare Product Management experience or familiarity with technical product development methodologies (e.g., Agile)
  • Demonstrated fluency in data, AI, and machine learning concepts — enough to partner credibly with Data Science and ML Engineering on problem framing, model trade-offs, and evaluation metrics in a Healthcare setting
  • Experience defining and using experimentation (A/B testing) and quantitative measurement to guide product decisions
  • Experience working in cross-functional product teams spanning Engineering, Data Science, UX, Operations, and Commercial partners
  • Technical competency with direct experience in data and analytics, data science, or AI/ML, enough to partner credibly with Data Science and ML Engineering on problem framing, model trade-offs, and evaluation metrics
  • Healthcare experience, preferably Biopharma and/or Payer expertise

  Preferred Skills

  • Prior experience building or launching a recommendation engine, decisioning system, or personalization capability
  • Familiarity with responsible AI principles (fairness, explainability, bias mitigation) and how they apply in a regulated healthcare context
  • Experience with healthcare technology, patient support programs, enrollment workflows, or HCP-facing products
  • Strong understanding of product-market dynamics, customer needs, and competitive landscapes
  • Financial acumen, including experience connecting product decisions to P&L outcomes and business goals
  • Proven stakeholder engagement and influence skills in matrixed environments
  • Ability to prioritize effectively across competing initiatives and drive alignment toward execution
  • Comfort operating in ambiguity with a bias toward action and continuous improvement

  Pay

  Base Pay Range for this position $119,300 - $198,800. Compensation is determined by performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered.

  That should be the output. Check for any duplicated lines: none. Check for any boilerplate: we removed scam warning, EEO, etc. Check for any missing content: we kept the intro paragraph, about role,