Architect Master Data Management
for section headings. Use - for any list of duties/requirements/benefits. Use
for prose.
We need to preserve all substantive information. So we need to include the benefits list exactly as given.
Let's extract content:
Intro: "Discover a more connected career Dycom Industries is embarking on a massive, transformational SAP S/4HANA implementation that will redefine how we operate. We are building a world-class SAP Center of Excellence (CoE) and are seeking a visionary Sales Technical Product Lead to own the "Lead-to-Cash" digital lifecycle. In this critical role, you will bridge the gap between business execution and technical SAP configuration. You will act as the Chief Product Owner for the Sales and Order-to-Cash (O2C) functional areas, translating complex business needs into a scalable, modern digital experience."
Then "What You’ll Do" list:
- Architectural Design & Strategy
- End-to-End Architecture: Design and own the master data architecture across the entire SAP S/4HANA landscape and its integrated peripheral systems.
- Data Modeling: Define the data models for core business entities, including Business Partners, Vendors, Materials, Equipment, Cost Centers, and WBS Elements.
- Innovation Roadmap: Develop the long-term strategic roadmap for data automation, AI-driven data cleansing, and predictive data governance.
- Enterprise Data Governance Policy Enforcement: Establish and enforce enterprise-wide data standards, naming conventions, and data lifecycle policies governing Create, Read, Update, and Delete/Archive functions.
- System Configuration: Architect and configure automated workflow approvals within SAP Master Data Governance (MDG) to ensure data is validated by the correct business stewards before entering the production environment.
- Business Partnership: Partner directly with Business Process Owner (BPO) Leads in Finance, Supply Chain, and Operations to translate physical business requirements into digital data rules.
- Quality Assurance & System Health Gatekeeping: Act as the primary gatekeeper for the "Clean Core" strategy by actively preventing rogue data entries, unauthorized customizations, and duplicate records.
- Health Monitoring: Develop dashboards and KPIs to monitor data health, proactively identifying anomalies, orphan records, or integration failures.
- Data Migration Leadership: Lead mass data migration and cleansing initiatives during Mergers & Acquisitions (M&A) integrations or new operating company (OpCo) rollouts.
- Cross-Pillar Integration Technical Collaboration: Collaborate with the technical and service pillars of the CoE to resolve data-related incidents and ensure seamless API integrations with legacy estimating, fleet, and ticketing systems.
- Analytics Enablement: Provide foundational data structures that enable accurate SAP Analytics Cloud (SAC) reporting and predictive models.
We could group under Responsibilities as a list.
"What You’ll Need":
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (Master’s degree preferred).
- Relevant SAP Certifications (e.g., SAP Certified Application Associate or Professional in SAP S/4HANA or Master Data Governance) are highly desirable.
- Any additional industry-recognized certifications in Data Management or Architecture (e.g., DAMA/CDMP) are a strong plus.
- Minimum of 8-10 years of experience in SAP data architecture, with deep technical proficiency in SAP S/4HANA, SAP Master Data Governance (MDG), and SAP Analytics Cloud (SAC).
- Proven track record of defining and implementing enterprise-scale data models for Business Partners, Materials, Equipment, and complex Financial structures (Cost Centers/WBS).
- Extensive experience establishing enterprise-wide data standards, lifecycle policies, and automated MDG workflow approvals to maintain a "Clean Core."
- Demonstrated success leading mass data migration and cleansing initiatives during large-scale SAP rollouts or Mergers & Acquisitions.
- Ability to partner effectively with Business Process Owners in Finance, Supply Chain, and Operations to translate business needs into technical data rules.
- Experience developing innovation roadmaps involving data automation, AI-driven cleansing, and predictive governance models.
Benefits list:
- Weekly Paychecks
- Paid Time Off, Parental Leave, and Holidays
- Insurance (including medical, prescription drug, dental, vision, disability, life insurance)
- 401(k) w/ Company Match
- Stock Purchase Plan
- Education Reimbursement
- Legal Insurance
- Discounts on gym memberships, pet insurance, and much more!
We need to output HTML fragment only.
Structure:
About the role
Intro paragraph(s). Could be two paragraphs but we can combine.
Then
Responsibilities
- ... each bullet maybe we need to keep sub-bullets? The spec says use
- for any list of duties/requirements/benefits. It doesn't forbid nested lists but we can keep flat list items each as a sentence. Could include the sub-bullets as part of the li text.
Similarly for Requirements.
Then
Benefits
- ... each benefit.
We should not include Pay or Schedule sections.
We must not include filler like "commensurate with experience". Not present.
We should not include EEO boilerplate.
Let's craft.
Check that we preserve all substantive information: The intro includes "Discover a more connected career Dycom Industries is embarking on a massive, transformational SAP S/4HANA implementation that will redefine how we operate. We are building a world-class SAP Center of Excellence (CoE) and are seeking a visionary Sales Technical Product Lead to own the "Lead-to-Cash" digital lifecycle. In this critical role, you will bridge the gap between business execution and technical SAP configuration. You will act as the Chief Product Owner for the Sales and Order-to-Cash (O2C) functional areas, translating complex business needs into a scalable, modern digital experience."
Also maybe include "Why grow your career with us" paragraph? It's somewhat generic but could be considered substantive? It says: "Your career here is more than just a job — it's your pathway to opportunity. Our hands-on training, supportive environment, and responsive leadership connect you to work with purpose. Our commitment to you extends beyond professional development to a safety-first culture that ensures you can do what you do best, with peace of mind." That's substantive but maybe not needed. However we could include it in About the role as additional paragraph. It's not boilerplate; it's about company culture. I'd include it to preserve info.
Also "Building stronger solutions together Our company is an equal-opportunity employer — we are committed to providing a work environment where everyone can thrive, grow, and feel connected. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status." That's EEO boilerplate; we should remove.
Thus About the role will have two paragraphs: first intro, second "Why grow your career with us".
Now Responsibilities: we need to list each bullet. Could combine the heading "Architectural Design & Strategy" as a li? Might be better to keep as li with that heading as part of text.
We'll produce list items:
- End-to-End Architecture: Design and own the master data architecture across the entire SAP S/4HANA landscape and its integrated peripheral systems.
- Data Modeling: Define the data models for core business entities, including Business Partners, Vendors, Materials, Equipment, Cost Centers, and WBS Elements.
- Innovation Roadmap: Develop the long-term strategic roadmap for data automation, AI-driven data cleansing, and predictive data governance.
- Enterprise Data Governance Policy Enforcement: Establish and enforce enterprise-wide data standards, naming conventions, and data lifecycle policies governing Create, Read, Update, and Delete/Archive functions.
- System Configuration: Architect and configure automated workflow approvals within SAP Master Data Governance (MDG) to ensure data is validated by the correct business stewards before entering the production environment.
- Business Partnership: Partner directly with Business Process Owner (BPO) Leads in Finance, Supply Chain, and Operations to translate physical business requirements into digital data rules.
- Quality Assurance & System Health Gatekeeping: Act as the primary gatekeeper for the "Clean Core" strategy by actively preventing rogue data entries, unauthorized customizations, and duplicate records.
- Health Monitoring: Develop dashboards and KPIs to monitor data health, proactively identifying anomalies, orphan records, or integration failures.
- Data Migration Leadership: Lead mass data migration and cleansing initiatives during Mergers & Acquisitions (M&A) integrations or new operating company (OpCo) rollouts.
- Cross-Pillar Integration Technical Collaboration: Collaborate with the technical and service pillars of the CoE to resolve data-related incidents and ensure seamless API integrations with legacy estimating, fleet, and ticketing systems.
- Analytics Enablement: Provide foundational data structures that enable accurate SAP Analytics Cloud (SAC) reporting and predictive models.
We could also include the heading "Architectural Design & Strategy" as a li but it's redundant; we can omit.
Now Requirements list:
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (Master’s degree preferred).
- Relevant SAP Certifications (e.g., SAP Certified Application Associate or Professional in SAP S/4HANA or Master Data Governance) are highly desirable.
- Any additional industry-recognized certifications in Data Management or Architecture (e.g., DAMA/CDMP) are a strong plus.
- Minimum of 8-10 years of experience in SAP data architecture, with deep technical proficiency in SAP S/4HANA, SAP Master Data Governance (MDG), and SAP Analytics Cloud (SAC).
- Proven track record of defining and implementing enterprise-scale data models for Business Partners, Materials, Equipment, and complex Financial structures (Cost Centers/WBS).
- Extensive experience establishing enterprise-wide data standards, lifecycle policies, and automated MDG workflow approvals to maintain a "Clean Core."
- Demonstrated success leading mass data migration and cleansing initiatives during large-scale SAP rollouts or Mergers & Acquisitions.
- Ability to partner effectively with Business Process Owners in Finance, Supply Chain, and Operations to translate business needs into technical data rules.
- Experience developing innovation roadmaps involving data automation, AI-driven cleansing, and predictive governance models.
Benefits list:
- Weekly Paychecks
- Paid Time Off, Parental Leave, and Holidays
- Insurance (including medical, prescription drug, dental, vision, disability, life insurance)
- 40
for prose. We need to preserve all substantive information. So we need to include the benefits list exactly as given. Let's extract content: Intro: "Discover a more connected career Dycom Industries is embarking on a massive, transformational SAP S/4HANA implementation that will redefine how we operate. We are building a world-class SAP Center of Excellence (CoE) and are seeking a visionary Sales Technical Product Lead to own the "Lead-to-Cash" digital lifecycle. In this critical role, you will bridge the gap between business execution and technical SAP configuration. You will act as the Chief Product Owner for the Sales and Order-to-Cash (O2C) functional areas, translating complex business needs into a scalable, modern digital experience." Then "What You’ll Do" list: - Architectural Design & Strategy - End-to-End Architecture: Design and own the master data architecture across the entire SAP S/4HANA landscape and its integrated peripheral systems. - Data Modeling: Define the data models for core business entities, including Business Partners, Vendors, Materials, Equipment, Cost Centers, and WBS Elements. - Innovation Roadmap: Develop the long-term strategic roadmap for data automation, AI-driven data cleansing, and predictive data governance. - Enterprise Data Governance Policy Enforcement: Establish and enforce enterprise-wide data standards, naming conventions, and data lifecycle policies governing Create, Read, Update, and Delete/Archive functions. - System Configuration: Architect and configure automated workflow approvals within SAP Master Data Governance (MDG) to ensure data is validated by the correct business stewards before entering the production environment. - Business Partnership: Partner directly with Business Process Owner (BPO) Leads in Finance, Supply Chain, and Operations to translate physical business requirements into digital data rules. - Quality Assurance & System Health Gatekeeping: Act as the primary gatekeeper for the "Clean Core" strategy by actively preventing rogue data entries, unauthorized customizations, and duplicate records. - Health Monitoring: Develop dashboards and KPIs to monitor data health, proactively identifying anomalies, orphan records, or integration failures. - Data Migration Leadership: Lead mass data migration and cleansing initiatives during Mergers & Acquisitions (M&A) integrations or new operating company (OpCo) rollouts. - Cross-Pillar Integration Technical Collaboration: Collaborate with the technical and service pillars of the CoE to resolve data-related incidents and ensure seamless API integrations with legacy estimating, fleet, and ticketing systems. - Analytics Enablement: Provide foundational data structures that enable accurate SAP Analytics Cloud (SAC) reporting and predictive models. We could group under Responsibilities as a list. "What You’ll Need": - Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (Master’s degree preferred). - Relevant SAP Certifications (e.g., SAP Certified Application Associate or Professional in SAP S/4HANA or Master Data Governance) are highly desirable. - Any additional industry-recognized certifications in Data Management or Architecture (e.g., DAMA/CDMP) are a strong plus. - Minimum of 8-10 years of experience in SAP data architecture, with deep technical proficiency in SAP S/4HANA, SAP Master Data Governance (MDG), and SAP Analytics Cloud (SAC). - Proven track record of defining and implementing enterprise-scale data models for Business Partners, Materials, Equipment, and complex Financial structures (Cost Centers/WBS). - Extensive experience establishing enterprise-wide data standards, lifecycle policies, and automated MDG workflow approvals to maintain a "Clean Core." - Demonstrated success leading mass data migration and cleansing initiatives during large-scale SAP rollouts or Mergers & Acquisitions. - Ability to partner effectively with Business Process Owners in Finance, Supply Chain, and Operations to translate business needs into technical data rules. - Experience developing innovation roadmaps involving data automation, AI-driven cleansing, and predictive governance models. Benefits list: - Weekly Paychecks - Paid Time Off, Parental Leave, and Holidays - Insurance (including medical, prescription drug, dental, vision, disability, life insurance) - 401(k) w/ Company Match - Stock Purchase Plan - Education Reimbursement - Legal Insurance - Discounts on gym memberships, pet insurance, and much more! We need to output HTML fragment only. Structure:
About the role
Intro paragraph(s). Could be two paragraphs but we can combine. Then
Responsibilities
- ... each bullet maybe we need to keep sub-bullets? The spec says use
- for any list of duties/requirements/benefits. It doesn't forbid nested lists but we can keep flat list items each as a sentence. Could include the sub-bullets as part of the li text.
Similarly for Requirements.
Then
Benefits
- ... each benefit. We should not include Pay or Schedule sections. We must not include filler like "commensurate with experience". Not present. We should not include EEO boilerplate. Let's craft. Check that we preserve all substantive information: The intro includes "Discover a more connected career Dycom Industries is embarking on a massive, transformational SAP S/4HANA implementation that will redefine how we operate. We are building a world-class SAP Center of Excellence (CoE) and are seeking a visionary Sales Technical Product Lead to own the "Lead-to-Cash" digital lifecycle. In this critical role, you will bridge the gap between business execution and technical SAP configuration. You will act as the Chief Product Owner for the Sales and Order-to-Cash (O2C) functional areas, translating complex business needs into a scalable, modern digital experience." Also maybe include "Why grow your career with us" paragraph? It's somewhat generic but could be considered substantive? It says: "Your career here is more than just a job — it's your pathway to opportunity. Our hands-on training, supportive environment, and responsive leadership connect you to work with purpose. Our commitment to you extends beyond professional development to a safety-first culture that ensures you can do what you do best, with peace of mind." That's substantive but maybe not needed. However we could include it in About the role as additional paragraph. It's not boilerplate; it's about company culture. I'd include it to preserve info. Also "Building stronger solutions together Our company is an equal-opportunity employer — we are committed to providing a work environment where everyone can thrive, grow, and feel connected. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status." That's EEO boilerplate; we should remove. Thus About the role will have two paragraphs: first intro, second "Why grow your career with us". Now Responsibilities: we need to list each bullet. Could combine the heading "Architectural Design & Strategy" as a li? Might be better to keep as li with that heading as part of text. We'll produce list items: - End-to-End Architecture: Design and own the master data architecture across the entire SAP S/4HANA landscape and its integrated peripheral systems. - Data Modeling: Define the data models for core business entities, including Business Partners, Vendors, Materials, Equipment, Cost Centers, and WBS Elements. - Innovation Roadmap: Develop the long-term strategic roadmap for data automation, AI-driven data cleansing, and predictive data governance. - Enterprise Data Governance Policy Enforcement: Establish and enforce enterprise-wide data standards, naming conventions, and data lifecycle policies governing Create, Read, Update, and Delete/Archive functions. - System Configuration: Architect and configure automated workflow approvals within SAP Master Data Governance (MDG) to ensure data is validated by the correct business stewards before entering the production environment. - Business Partnership: Partner directly with Business Process Owner (BPO) Leads in Finance, Supply Chain, and Operations to translate physical business requirements into digital data rules. - Quality Assurance & System Health Gatekeeping: Act as the primary gatekeeper for the "Clean Core" strategy by actively preventing rogue data entries, unauthorized customizations, and duplicate records. - Health Monitoring: Develop dashboards and KPIs to monitor data health, proactively identifying anomalies, orphan records, or integration failures. - Data Migration Leadership: Lead mass data migration and cleansing initiatives during Mergers & Acquisitions (M&A) integrations or new operating company (OpCo) rollouts. - Cross-Pillar Integration Technical Collaboration: Collaborate with the technical and service pillars of the CoE to resolve data-related incidents and ensure seamless API integrations with legacy estimating, fleet, and ticketing systems. - Analytics Enablement: Provide foundational data structures that enable accurate SAP Analytics Cloud (SAC) reporting and predictive models. We could also include the heading "Architectural Design & Strategy" as a li but it's redundant; we can omit. Now Requirements list: - Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (Master’s degree preferred). - Relevant SAP Certifications (e.g., SAP Certified Application Associate or Professional in SAP S/4HANA or Master Data Governance) are highly desirable. - Any additional industry-recognized certifications in Data Management or Architecture (e.g., DAMA/CDMP) are a strong plus. - Minimum of 8-10 years of experience in SAP data architecture, with deep technical proficiency in SAP S/4HANA, SAP Master Data Governance (MDG), and SAP Analytics Cloud (SAC). - Proven track record of defining and implementing enterprise-scale data models for Business Partners, Materials, Equipment, and complex Financial structures (Cost Centers/WBS). - Extensive experience establishing enterprise-wide data standards, lifecycle policies, and automated MDG workflow approvals to maintain a "Clean Core." - Demonstrated success leading mass data migration and cleansing initiatives during large-scale SAP rollouts or Mergers & Acquisitions. - Ability to partner effectively with Business Process Owners in Finance, Supply Chain, and Operations to translate business needs into technical data rules. - Experience developing innovation roadmaps involving data automation, AI-driven cleansing, and predictive governance models. Benefits list: - Weekly Paychecks - Paid Time Off, Parental Leave, and Holidays - Insurance (including medical, prescription drug, dental, vision, disability, life insurance) - 40
- for any list of duties/requirements/benefits. It doesn't forbid nested lists but we can keep flat list items each as a sentence. Could include the sub-bullets as part of the li text.
Similarly for Requirements.
Then