Senior Manager, Master Data Management & Data Governance
for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must only include sections that have real specific content. We need to parse the posting.
The posting includes:
- Intro about Everpure (company description). Could be "About the role"? Actually "THE ROLE" heading. The content after that describes role. Could be "About the role" or "Responsibilities". The instructions: use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we need to decide appropriate headings based on content.
We have:
- "THE ROLE" description: includes overview of role, what you'll do, what you bring, etc. Could split into sections: "About the role" (overview), "Responsibilities" (What You'll Do), "Requirements" or "Qualifications" (What You Bring), maybe "Skills" (some overlapping). Also "Pay" (salary range). "Benefits" (What You Can Expect From Us). "Schedule" (in-office expectation). Also maybe "Location" but not required.
We must not repeat job title as heading. No Job ID.
We must remove boilerplate: cookie/navigation/legal/EEO etc. At end there is EEO statement, accommodations, commitment, etc. Those should be removed.
Also remove application instructions: "There is no application deadline..." etc. Also "Check out purebenefits.com for more information." That's part of benefits but we can keep benefits description.
We need to preserve all substantive information.
Let's extract substantive content:
Company intro: "Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us."
That's about the company; could be part of "About the role" or maybe a separate "About Everpure". But we only have allowed headings list; we could put this under "About the role" as context.
Then "THE ROLE" heading: description: "Everpure's growth depends on data our teams can actually trust. As Sr. Manager, Master Data Management & Data Governance, you'll own the enterprise vision for our most critical data domains — Customer, Product, Asset, and Vendor — and build the governance foundation that makes every downstream decision faster and better informed. You'll lead a team of data stewards and data management professionals, and use AI and automation to move master data quality from periodic cleanup to continuous, self-correcting control. Partnering with leaders across Sales, Finance, Operations, Product, and IT, you'll turn fragmented data into an AI-ready asset the whole company can build on. This is a highly visible role with a direct line to how Everpure runs."
That's overview.
Then "What You'll Do": bullet list (actually sentences separated by periods). We need to convert to - . The content:
- Set and execute the enterprise strategy for Customer, Product, Asset, and Vendor master data, defining the governance and stewardship models that keep these domains consistent and trusted across every system that touches them.
- Deploy AI and automation across matching, deduplication, classification, enrichment, and remediation, shifting master data quality from manual cleanup to continuous monitoring, anomaly detection, and automated correction.
- Build the AI-ready data foundation, institutionalizing lineage, catalogs, dictionaries, and metadata, and ensuring master data flows cleanly across ERP, CRM, PLM, service management, and analytics platforms.
- Establish the enterprise standards, ownership, and controls that govern master data quality, integrity, security, and compliance, partnering with senior business and technology leaders to make accountability real rather than nominal.
- Build and develop the team and the program, growing data stewards and data management professionals into a high-performing group while owning delivery, budget, and the executive scorecards that show data health and business impact.
These are responsibilities.
Then "What You Bring": bullet list:
- A track record leading enterprise Master Data Management programs end to end across global implementations, with deep command of Customer, Product, Asset, and Vendor domains and the ability to design governance and stewardship models that scale for each.
- Hands-on command of enterprise MDM and data quality platforms such as Reltio and Informatica, and proven success integrating them with core enterprise systems — ERP, CRM, PLM, and analytics — to drive enterprise-wide consistency.
- Demonstrated success applying AI and automation to data stewardship, enrichment, and predictive quality controls, with a clear view of where the discipline is heading.
- Experience building and developing teams of data stewards and data management professionals, and growing capability that outlasts any single program.
- The ability to align diverse stakeholders and still decide, translate technical complexity into business impact, and influence C-suite and board-level audiences with clarity.
These are qualifications/requirements.
Then "We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave." That's schedule/location.
Then ", Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. This role may be eligible for incentive pay and/or equity. There is no application deadline and we accept applications on an ongoing basis until the job is filled. The Annual Base Salary Range Is $205,000—$308,000 USD"
We need Pay section: include salary range. Also maybe mention incentive pay/equity.
Then "What You Can Expect From Us Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!Team: We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out purebenefits.com for more information."
That's benefits.
Then there is accommodations, EEO etc which we must remove.
Thus sections:
- About the role (company intro + role overview)
- Responsibilities (What You'll Do)
- Qualifications (What You Bring) (or Requirements)
- Benefits (What You Can Expect From Us)
- Pay (salary range + incentive/equity)
- Schedule (in-office expectation)
We should not include Skills separately unless we have distinct skills list; we could merge into Qualifications.
We must not create sections with filler text. All sections have content.
Now produce HTML fragment: use
for each heading, then content in
or
- as appropriate.
For About the role: we have multiple paragraphs; we can wrap in
.
For Responsibilities:
- each bullet.
For Qualifications: similarly.
For Benefits: we have prose; we can put in
. Might need to split into sentences but okay.
For Pay: we have salary range and incentive/equity; we can put in
.
For Schedule: we have in-office expectation; we can put in
.
Make sure not to include any boilerplate like "There is no application deadline..." etc. Remove that.
Also remove "Check out purebenefits.com for more information." That's part of benefits but it's okay to keep? It's not boilerplate; it's a link. We can keep as part of benefits.
Now craft HTML.
We need to ensure no markdown fences, just raw HTML.
Let's write:
About the role
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. Everpure's growth depends on data our teams can actually trust. As Sr. Manager, Master Data Management & Data Governance, you'll own the enterprise vision for our most critical data domains — Customer, Product, Asset, and Vendor — and build the governance foundation that makes every downstream decision faster and better informed. You'll lead a team of data stewards and data management professionals, and use AI and automation to move master data quality from periodic cleanup to continuous, self-correcting control. Partnering with leaders across Sales, Finance, Operations, Product, and IT, you'll turn fragmented data into an AI-ready asset the whole company can build on. This is a highly visible role with a direct line to how Everpure runs.
Responsibilities
- Set and execute the enterprise strategy for Customer, Product, Asset, and Vendor master data, defining the governance and stewardship models that keep these domains consistent and trusted across every system that touches them.
- Deploy AI and automation across matching, deduplication, classification, enrichment, and remediation, shifting master data quality from manual cleanup to continuous monitoring, anomaly detection, and automated correction.
- Build the AI-ready data foundation, institutionalizing lineage, catalogs, dictionaries, and metadata, and ensuring master data flows cleanly across ERP, CRM, PLM, service management, and analytics platforms.
- Establish the enterprise standards, ownership, and controls that govern master data quality, integrity, security, and compliance, partnering with senior business and technology leaders to make accountability real rather than nominal.
- Build and develop the team and the program, growing data stewards and data management professionals into a high-performing group while owning delivery, budget, and the executive scorecards that show data health and business impact.
Qualifications
- A track record leading enterprise Master Data Management programs end to end across global implementations, with deep command of Customer, Product, Asset, and Vendor domains and the ability to design governance and stewardship models that scale for each.
- Hands-on command of enterprise MDM and data quality platforms such as Reltio and Informatica, and proven success integrating them with core enterprise systems — ERP, CRM, PLM, and analytics — to drive enterprise-wide consistency.
- Demonstrated success applying AI and automation to data stewardship, enrichment, and predictive quality controls, with a clear view of where the discipline is heading.
- Experience building and developing teams of data stewards and data management professionals, and growing capability that outlasts any single program.
- The ability to align diverse stakeholders and still decide, translate technical complexity into business impact, and influence C-suite and board-level audiences with clarity.
Benefits
We celebrate those who think critically, like a challenge, and aspire to be trailblazers. We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area
- . The content:
- Set and execute the enterprise strategy for Customer, Product, Asset, and Vendor master data, defining the governance and stewardship models that keep these domains consistent and trusted across every system that touches them.
- Deploy AI and automation across matching, deduplication, classification, enrichment, and remediation, shifting master data quality from manual cleanup to continuous monitoring, anomaly detection, and automated correction.
- Build the AI-ready data foundation, institutionalizing lineage, catalogs, dictionaries, and metadata, and ensuring master data flows cleanly across ERP, CRM, PLM, service management, and analytics platforms.
- Establish the enterprise standards, ownership, and controls that govern master data quality, integrity, security, and compliance, partnering with senior business and technology leaders to make accountability real rather than nominal.
- Build and develop the team and the program, growing data stewards and data management professionals into a high-performing group while owning delivery, budget, and the executive scorecards that show data health and business impact.
These are responsibilities.
Then "What You Bring": bullet list:
- A track record leading enterprise Master Data Management programs end to end across global implementations, with deep command of Customer, Product, Asset, and Vendor domains and the ability to design governance and stewardship models that scale for each.
- Hands-on command of enterprise MDM and data quality platforms such as Reltio and Informatica, and proven success integrating them with core enterprise systems — ERP, CRM, PLM, and analytics — to drive enterprise-wide consistency.
- Demonstrated success applying AI and automation to data stewardship, enrichment, and predictive quality controls, with a clear view of where the discipline is heading.
- Experience building and developing teams of data stewards and data management professionals, and growing capability that outlasts any single program.
- The ability to align diverse stakeholders and still decide, translate technical complexity into business impact, and influence C-suite and board-level audiences with clarity.
These are qualifications/requirements.
Then "We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave." That's schedule/location.
Then ", Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. This role may be eligible for incentive pay and/or equity. There is no application deadline and we accept applications on an ongoing basis until the job is filled. The Annual Base Salary Range Is $205,000—$308,000 USD"
We need Pay section: include salary range. Also maybe mention incentive pay/equity.
Then "What You Can Expect From Us Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!Team: We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out purebenefits.com for more information."
That's benefits.
Then there is accommodations, EEO etc which we must remove.
Thus sections:
- About the role (company intro + role overview)
- Responsibilities (What You'll Do)
- Qualifications (What You Bring) (or Requirements)
- Benefits (What You Can Expect From Us)
- Pay (salary range + incentive/equity)
- Schedule (in-office expectation)
We should not include Skills separately unless we have distinct skills list; we could merge into Qualifications.
We must not create sections with filler text. All sections have content.
Now produce HTML fragment: use
for each heading, then content in
or
- as appropriate.
For About the role: we have multiple paragraphs; we can wrap in
. For Responsibilities:
- each bullet.
For Qualifications: similarly.
For Benefits: we have prose; we can put in
. Might need to split into sentences but okay. For Pay: we have salary range and incentive/equity; we can put in
. For Schedule: we have in-office expectation; we can put in
. Make sure not to include any boilerplate like "There is no application deadline..." etc. Remove that. Also remove "Check out purebenefits.com for more information." That's part of benefits but it's okay to keep? It's not boilerplate; it's a link. We can keep as part of benefits. Now craft HTML. We need to ensure no markdown fences, just raw HTML. Let's write:
About the role
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. Everpure's growth depends on data our teams can actually trust. As Sr. Manager, Master Data Management & Data Governance, you'll own the enterprise vision for our most critical data domains — Customer, Product, Asset, and Vendor — and build the governance foundation that makes every downstream decision faster and better informed. You'll lead a team of data stewards and data management professionals, and use AI and automation to move master data quality from periodic cleanup to continuous, self-correcting control. Partnering with leaders across Sales, Finance, Operations, Product, and IT, you'll turn fragmented data into an AI-ready asset the whole company can build on. This is a highly visible role with a direct line to how Everpure runs.
Responsibilities
- Set and execute the enterprise strategy for Customer, Product, Asset, and Vendor master data, defining the governance and stewardship models that keep these domains consistent and trusted across every system that touches them.
- Deploy AI and automation across matching, deduplication, classification, enrichment, and remediation, shifting master data quality from manual cleanup to continuous monitoring, anomaly detection, and automated correction.
- Build the AI-ready data foundation, institutionalizing lineage, catalogs, dictionaries, and metadata, and ensuring master data flows cleanly across ERP, CRM, PLM, service management, and analytics platforms.
- Establish the enterprise standards, ownership, and controls that govern master data quality, integrity, security, and compliance, partnering with senior business and technology leaders to make accountability real rather than nominal.
- Build and develop the team and the program, growing data stewards and data management professionals into a high-performing group while owning delivery, budget, and the executive scorecards that show data health and business impact.
Qualifications
- A track record leading enterprise Master Data Management programs end to end across global implementations, with deep command of Customer, Product, Asset, and Vendor domains and the ability to design governance and stewardship models that scale for each.
- Hands-on command of enterprise MDM and data quality platforms such as Reltio and Informatica, and proven success integrating them with core enterprise systems — ERP, CRM, PLM, and analytics — to drive enterprise-wide consistency.
- Demonstrated success applying AI and automation to data stewardship, enrichment, and predictive quality controls, with a clear view of where the discipline is heading.
- Experience building and developing teams of data stewards and data management professionals, and growing capability that outlasts any single program.
- The ability to align diverse stakeholders and still decide, translate technical complexity into business impact, and influence C-suite and board-level audiences with clarity.
Benefits
We celebrate those who think critically, like a challenge, and aspire to be trailblazers. We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area
- each bullet.
For Qualifications: similarly.
For Benefits: we have prose; we can put in
- as appropriate.
For About the role: we have multiple paragraphs; we can wrap in