Senior Manager, Data Science & Analytics
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). The page already shows job title; we should not repeat job title as heading. We can include "About the role" heading with content from "About The Role" paragraph.
- Responsibilities: from "What you'll do" bullet list.
- Requirements/Qualifications/Skills: The posting has "What we're looking for" list of qualifications. Could split into Requirements (experience, expertise) and Skills (SQL, Python, etc.) but we can combine if needed. However we should only create sections when there is real specific content. We have content for Requirements (7+ years experience, leading teams, etc.) and Skills (Advanced SQL, Python, etc.) and Qualifications maybe overlapping. Could create Requirements and Skills sections.
- Benefits: from "Compensation & Benefits" paragraph includes benefits details. Also Pay: compensation details (salary ranges). Schedule: not mentioned (no schedule info). So we should not include Schedule section.
- Also there is "Why this role" and "Our Process" etc. Those are not required headings; we should omit boilerplate like process, EEO, etc. The instruction: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. So we should omit "Our Process", "Why this role" maybe? It's not boilerplate but it's promotional; but we only need to include sections for which we have headings. The instruction: "Prefer a few substantive sections over many thin ones." So we could include About the role, Responsibilities, Requirements, Skills, Benefits, Pay. Possibly also Qualifications but we can merge.
We need to use - for any list of duties/requirements/benefits. Use
for prose.
We must preserve ALL substantive information; do not invent or summarize away detail. So we need to include all details from those sections.
Let's extract:
About the role: The paragraph starting "Hi, my name is Michael..." includes description. We'll capture that as prose.
Responsibilities: The bullet list under "What you'll do":
- Lead and develop a team of Data Scientists and Analysts supporting Product, Marketing, Sales, and Customer Experience.
- Lead behavioral analytics, customer segmentation, experimentation, and product measurement efforts, helping teams understand customer behavior, evaluate product performance, and prioritize roadmap investments.
- Develop and maintain revenue forecasts, churn models, customer health scores, and account or opportunity scoring models used across the business.
- Partner with our data engineering team to manage our internal agentic data analytics platform, Smarty, supporting self-serve data access and analytics.
- Define standards and best practices for analytics and data science, and refine operational frameworks to drive efficiency and scale across the team.
We need to preserve each as list items.
Requirements: From "What we're looking for":
- 7+ years of experience in Data Science, Analytics, Product Analytics, or a related quantitative field, including experience leading and developing high-performing teams.
- Strong expertise in experimentation, forecasting, statistical analysis, and product or business analytics.
- Advanced SQL skills and proficiency with Python or similar analytical tools.
- Experience defining metrics, measurement frameworks, and analytical approaches that support product, growth, and business decision-making.
- Demonstrated ability to partner with senior leaders, influence strategy, and communicate complex findings clearly to technical and non-technical audiences.
- Comfortable balancing strategic leadership with hands-on analytical work when needed.
- Experience working with modern analytics platforms and data warehouses, including Snowflake, dbt, and product analytics tools.
- Experience in B2B SaaS, PLG, or subscription-based businesses preferred.
- Based in the Americas, remote-friendly.
We could split into Requirements (experience, expertise) and Skills (SQL, Python, platforms). But we can also put all under Requirements. However instruction: use headings like Requirements, Qualifications, Skills. We could create Requirements for experience and expertise, Skills for technical proficiencies, and maybe Qualifications for education? Not present. Let's decide: We'll create Requirements (covering experience, expertise, ability to partner, comfort balancing, B2B SaaS preferred, location). Skills (SQL, Python, Snowflake, dbt, product analytics tools). That seems reasonable.
But we must preserve ALL substantive information; we must not lose any detail. So we need to ensure each bullet appears somewhere.
Let's list details:
Experience:
- 7+ years experience in Data Science, Analytics, Product Analytics, or related quantitative field, including experience leading and developing high-performing teams.
- Strong expertise in experimentation, forecasting, statistical analysis, and product or business analytics.
- Experience defining metrics, measurement frameworks, and analytical approaches that support product, growth, and business decision-making.
- Demonstrated ability to partner with senior leaders, influence strategy, and communicate complex findings clearly to technical and non-technical audiences.
- Comfortable balancing strategic leadership with hands-on analytical work when needed.
- Experience in B2B SaaS, PLG, or subscription-based businesses preferred.
- Based in the Americas, remote-friendly.
Skills/Technical:
- Advanced SQL skills and proficiency with Python or similar analytical tools.
- Experience working with modern analytics platforms and data warehouses, including Snowflake, dbt, and product analytics tools.
We could also include "Experience defining metrics..." maybe under Requirements.
Now Benefits: from paragraph: "We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more. See full benefits here →"
We need to preserve all that. We'll make a
- list.
Pay: from "Compensation & Benefits": Starting salary $170,000 - $200,000 USD depending on experience and subject to market rate adjustment. Zone 1: $204,000 - $240,000 Zone 2: $187,000 - $220,000 Zone 3: $170,000 - $200,000
We need to preserve that exactly. We'll put in
or
? It's not a list but we can use . The instruction: use
- for any list of duties/requirements/benefits, and
for prose. Pay is not a list but could be prose. We'll use
.
Schedule: not present, omit.
Now we need to output only HTML fragment, no /, no markdown fences.
We'll structure:
About the role
...
Responsibilities
- ...
...
Requirements
- ...
...
Skills
- ...
...
Benefits
- ...
...
Pay
...
We must ensure we don't include any boilerplate like "See full benefits here →" maybe we keep as part of benefits? It's a link; we can keep text but it's okay. We'll keep the sentence.
Now we need to ensure we preserve all substantive information from About the role paragraph. Let's copy that paragraph exactly:
"Hi, my name is Michael, Head of Data and Analytics at Customer.io, and I’m looking for a Senior Manager, Data Science & Analytics to lead and evolve Customer.io's internal data science & analytics function. This team serves as a strategic partner across Product, Marketing, Sales and Customer Experience organizations, helping the company make better decisions through forecasting, experimentation, behavioral analytics, and rigorous measurement. In this role, you'll lead a team responsible for delivering business value through the applied use of data. You'll partner closely with leaders across the company to guide decisions, define success metrics, improve customer and product experiences, and drive operational efficiencies. Success in this role requires strong leadership, analytical and technical rigor, and business acumen. We view our data team as more than a reporting function, and as a trusted advisor to the business - bringing clarity through ambiguity, uncovering opportunities, and helping Customer.io move faster and operate smarter as we scale."
We'll put that in .
Now Responsibilities list: we need to keep each bullet exactly as in posting.
Let's copy:
- Lead and develop a team of Data Scientists and Analysts supporting Product, Marketing, Sales, and Customer Experience.
- Lead behavioral analytics, customer segmentation, experimentation, and product measurement efforts, helping teams understand customer behavior, evaluate product performance, and prioritize roadmap investments.
- Develop and maintain revenue forecasts, churn models, customer health scores, and account or opportunity scoring models used across the business.
- Partner with our data engineering team to manage our internal agentic data analytics platform, Smarty, supporting self-serve data access and analytics.
- Define standards and best practices for analytics and data science, and refine operational frameworks to drive efficiency and scale across the team.
Now Requirements list: we need to include all bullets from "What we're looking for" that are not technical skills. Let's decide which go to Requirements vs Skills.
We'll put in Requirements:
- 7+ years of experience in Data Science, Analytics, Product Analytics, or a related quantitative field, including experience leading and developing high-performing teams.
- Strong expertise in experimentation, forecasting, statistical analysis, and product or business analytics.
- Experience defining metrics, measurement frameworks, and analytical approaches that support product, growth, and business decision-making.
- Demonstrated ability to partner with senior leaders, influence strategy, and communicate complex findings clearly to technical and non-technical audiences.
- Comfortable balancing strategic leadership with hands-on analytical work when needed.
- Experience in B2B SaaS, PLG, or subscription-based businesses preferred.
- Based in the Americas, remote-friendly.
Now Skills list:
- Advanced SQL skills and proficiency with Python or similar analytical tools.
- Experience working with modern analytics platforms and data warehouses, including Snowflake, dbt, and product analytics tools.
Now Benefits list: we need to capture all benefits details.
From paragraph: "Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more."
We could break into list items:
- 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family.
- 16 weeks paid parental leave.
- Unlimited PTO.
- Stipends for remote work and wellness.
- Professional development budget.
- More (as per "and more").
We'll keep as list.
Now Pay: we need to include the compensation details exactly.
Paragraph: "We believe in transparency. Starting salary for this role is $170,000 - $200,000 USD depending on experience and subject to market rate adjustment. Zone 1: $204,000 - $240,000 Zone 2: $187,000 - $220,000 Zone 3: $170,000 - $200,000"
We'll put
for prose. We must preserve ALL substantive information; do not invent or summarize away detail. So we need to include all details from those sections. Let's extract: About the role: The paragraph starting "Hi, my name is Michael..." includes description. We'll capture that as prose. Responsibilities: The bullet list under "What you'll do": - Lead and develop a team of Data Scientists and Analysts supporting Product, Marketing, Sales, and Customer Experience. - Lead behavioral analytics, customer segmentation, experimentation, and product measurement efforts, helping teams understand customer behavior, evaluate product performance, and prioritize roadmap investments. - Develop and maintain revenue forecasts, churn models, customer health scores, and account or opportunity scoring models used across the business. - Partner with our data engineering team to manage our internal agentic data analytics platform, Smarty, supporting self-serve data access and analytics. - Define standards and best practices for analytics and data science, and refine operational frameworks to drive efficiency and scale across the team. We need to preserve each as list items. Requirements: From "What we're looking for": - 7+ years of experience in Data Science, Analytics, Product Analytics, or a related quantitative field, including experience leading and developing high-performing teams. - Strong expertise in experimentation, forecasting, statistical analysis, and product or business analytics. - Advanced SQL skills and proficiency with Python or similar analytical tools. - Experience defining metrics, measurement frameworks, and analytical approaches that support product, growth, and business decision-making. - Demonstrated ability to partner with senior leaders, influence strategy, and communicate complex findings clearly to technical and non-technical audiences. - Comfortable balancing strategic leadership with hands-on analytical work when needed. - Experience working with modern analytics platforms and data warehouses, including Snowflake, dbt, and product analytics tools. - Experience in B2B SaaS, PLG, or subscription-based businesses preferred. - Based in the Americas, remote-friendly. We could split into Requirements (experience, expertise) and Skills (SQL, Python, platforms). But we can also put all under Requirements. However instruction: use headings like Requirements, Qualifications, Skills. We could create Requirements for experience and expertise, Skills for technical proficiencies, and maybe Qualifications for education? Not present. Let's decide: We'll create Requirements (covering experience, expertise, ability to partner, comfort balancing, B2B SaaS preferred, location). Skills (SQL, Python, Snowflake, dbt, product analytics tools). That seems reasonable. But we must preserve ALL substantive information; we must not lose any detail. So we need to ensure each bullet appears somewhere. Let's list details: Experience: - 7+ years experience in Data Science, Analytics, Product Analytics, or related quantitative field, including experience leading and developing high-performing teams. - Strong expertise in experimentation, forecasting, statistical analysis, and product or business analytics. - Experience defining metrics, measurement frameworks, and analytical approaches that support product, growth, and business decision-making. - Demonstrated ability to partner with senior leaders, influence strategy, and communicate complex findings clearly to technical and non-technical audiences. - Comfortable balancing strategic leadership with hands-on analytical work when needed. - Experience in B2B SaaS, PLG, or subscription-based businesses preferred. - Based in the Americas, remote-friendly. Skills/Technical: - Advanced SQL skills and proficiency with Python or similar analytical tools. - Experience working with modern analytics platforms and data warehouses, including Snowflake, dbt, and product analytics tools. We could also include "Experience defining metrics..." maybe under Requirements. Now Benefits: from paragraph: "We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more. See full benefits here →" We need to preserve all that. We'll make a
- list.
Pay: from "Compensation & Benefits": Starting salary $170,000 - $200,000 USD depending on experience and subject to market rate adjustment. Zone 1: $204,000 - $240,000 Zone 2: $187,000 - $220,000 Zone 3: $170,000 - $200,000
We need to preserve that exactly. We'll put in
or
- ? It's not a list but we can use
- for any list of duties/requirements/benefits, and
for prose. Pay is not a list but could be prose. We'll use
. Schedule: not present, omit. Now we need to output only HTML fragment, no /, no markdown fences. We'll structure:
About the role
...
Responsibilities
- ... ...
Requirements
- ... ...
Skills
- ... ...
Benefits
- ... ...
Pay
...
We must ensure we don't include any boilerplate like "See full benefits here →" maybe we keep as part of benefits? It's a link; we can keep text but it's okay. We'll keep the sentence. Now we need to ensure we preserve all substantive information from About the role paragraph. Let's copy that paragraph exactly: "Hi, my name is Michael, Head of Data and Analytics at Customer.io, and I’m looking for a Senior Manager, Data Science & Analytics to lead and evolve Customer.io's internal data science & analytics function. This team serves as a strategic partner across Product, Marketing, Sales and Customer Experience organizations, helping the company make better decisions through forecasting, experimentation, behavioral analytics, and rigorous measurement. In this role, you'll lead a team responsible for delivering business value through the applied use of data. You'll partner closely with leaders across the company to guide decisions, define success metrics, improve customer and product experiences, and drive operational efficiencies. Success in this role requires strong leadership, analytical and technical rigor, and business acumen. We view our data team as more than a reporting function, and as a trusted advisor to the business - bringing clarity through ambiguity, uncovering opportunities, and helping Customer.io move faster and operate smarter as we scale." We'll put that in. Now Responsibilities list: we need to keep each bullet exactly as in posting. Let's copy: - Lead and develop a team of Data Scientists and Analysts supporting Product, Marketing, Sales, and Customer Experience. - Lead behavioral analytics, customer segmentation, experimentation, and product measurement efforts, helping teams understand customer behavior, evaluate product performance, and prioritize roadmap investments. - Develop and maintain revenue forecasts, churn models, customer health scores, and account or opportunity scoring models used across the business. - Partner with our data engineering team to manage our internal agentic data analytics platform, Smarty, supporting self-serve data access and analytics. - Define standards and best practices for analytics and data science, and refine operational frameworks to drive efficiency and scale across the team. Now Requirements list: we need to include all bullets from "What we're looking for" that are not technical skills. Let's decide which go to Requirements vs Skills. We'll put in Requirements: - 7+ years of experience in Data Science, Analytics, Product Analytics, or a related quantitative field, including experience leading and developing high-performing teams. - Strong expertise in experimentation, forecasting, statistical analysis, and product or business analytics. - Experience defining metrics, measurement frameworks, and analytical approaches that support product, growth, and business decision-making. - Demonstrated ability to partner with senior leaders, influence strategy, and communicate complex findings clearly to technical and non-technical audiences. - Comfortable balancing strategic leadership with hands-on analytical work when needed. - Experience in B2B SaaS, PLG, or subscription-based businesses preferred. - Based in the Americas, remote-friendly. Now Skills list: - Advanced SQL skills and proficiency with Python or similar analytical tools. - Experience working with modern analytics platforms and data warehouses, including Snowflake, dbt, and product analytics tools. Now Benefits list: we need to capture all benefits details. From paragraph: "Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more." We could break into list items: - 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. - 16 weeks paid parental leave. - Unlimited PTO. - Stipends for remote work and wellness. - Professional development budget. - More (as per "and more"). We'll keep as list. Now Pay: we need to include the compensation details exactly. Paragraph: "We believe in transparency. Starting salary for this role is $170,000 - $200,000 USD depending on experience and subject to market rate adjustment. Zone 1: $204,000 - $240,000 Zone 2: $187,000 - $220,000 Zone 3: $170,000 - $200,000" We'll put
. The instruction: use
- for any list of duties/requirements/benefits, and