Executive Director: Data Management, Analytics, AI & Architecture
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We need to include sections only when posting has real, specific content. The posting includes description (intro) which could be "About the role". Then "Key Responsibilities" => Responsibilities. Then "Qualifications And Requirements" => Qualifications. Then "Skills & Competencies" => Skills. Then "Certifications (Preferred)" maybe part of Skills? Could be separate but not required. There's also "Where and When" location and schedule: on-site 4 days/week, primarily based at Sleepy Hollow, NY or Warren, NJ office. Relocation benefits offered if eligible, cannot offer fully remote. That's schedule/location info. Could be placed under Schedule? The schedule is 4 days/week on-site. Could be Schedule section. Benefits: relocation benefits mentioned. Also maybe other benefits not detailed. So we can include Benefits section with relocation benefits. Pay: Salary Range given: $255,000.00 - $424,900.00 annually. So Pay section.
We must not repeat job title as heading. No Job ID. Remove boilerplate like EEO, etc. Also remove application instructions like "Does this sound like you? Apply now..." etc. Also remove EEO paragraph. Also remove "Where required, we will provide reasonable accommodation..." etc. Also remove "For additional information about Regeneron benefits..." etc. Also remove background check etc. Keep substantive info.
We need to preserve all substantive information: description, responsibilities bullet points, qualifications, skills, certifications, location/schedule, relocation benefits, pay range.
We must use - for any list of duties/requirements/benefits. Use
for prose.
We need to decide sections: About the role (intro paragraph). Responsibilities (list). Qualifications (list? maybe bullet). Skills (list). Certifications (maybe part of Skills or separate). Benefits (relocation). Pay (salary range). Schedule (on-site 4 days/week, location). Could combine location and schedule in Schedule section.
We must not create sections with filler like "commensurate with experience". We have actual content.
Let's extract content.
Intro paragraph: "The Executive Director, Data Management & Architecture will lead a unified Data Management and Architecture function within Global Development IT, bringing together data enablement and architecture capabilities into a single end-to-end organization. This role will define the strategy for data platforms, AI architecture, and data governance while ensuring Global Development's technology landscape supports secure, scalable, and compliant data capabilities. The Executive Director will partner across Enterprise Data & AI, Enterprise Architecture, Information Security, and Global Development leadership to advance enterprise data priorities and enable business outcomes. This role reports to the Executive Director, Global Development IT and will collaborate closely with enterprise and business leaders to shape data strategy, architecture standards, and long-term technology investments."
That's About the role.
Responsibilities: Under "Key Responsibilities" there are sub-sections with bullet-like sentences. We need to extract each duty as list items.
Let's parse:
Data Management & Enablement Leadership
- Own and lead the unified Data Management & Enablement function, integrating the current Data Enablement organization and its data engineering, analytics, and data repository capabilities into a single team.
- Absorb and lead the Services & Architecture function, consolidating data delivery and architecture and creating one point of accountability for data across the vertical.
- Drive Data platforms and standards, including advancing toward a validated, centralized data repository.
- Build and scale a data engineering and analytics team, including growing capability in the Global Capability Center (India-based team) in partnership with GCC leadership.
Data & Solutions Architecture (Domain Authority)
- Serve as Global Development's data and AI architecture authority, owning the end-to-end architecture strategy for data platforms, pipelines, and solutions within the vertical.
- Provide domain-specific solution architecture, ensuring designs are scalable, compliant, and aligned to business strategy in adherence to Enterprise Architecture standards.
- Define integration, API, and data exchange patterns between vertical systems and enterprise platforms, reducing point-to-point integrations and promoting reusable architecture components.
- Represent Global Development at the Architecture Review Board (ARB), presenting proposed investments for approval and ensuring alignment with enterprise-wide standards.
Data Governance & Regulatory Compliance
- Partner with Enterprise Data Governance and Data Quality Management teams to enforce data quality, lineage, and regulatory compliance standards (e.g., GxP) within Global Development.
- Own data classification, access, and quality standards for clinical trial, safety, and regulatory data, ensuring audit-readiness across the data estate.
- Establish clear data stewardship accountability across Global Development's data domains, in partnership with business and functional leaders.
- Ensure master data management (MDM) and data catalog practices are adopted consistently across the vertical.
Partnership with Enterprise Data & AI and Enterprise Architecture
- Partner with Enterprise Data & AI as the primary governance and standards partner, aligning on data platform usage, AI architecture patterns, AI governance, and MDM/data catalog adoption.
- Coordinate with the enterprise Architect community on cross-vertical architecture and ARB participation, ensuring vertical architecture conforms to enterprise-wide standards.
- Partner with Vertical Solution Architect on end-to-end solution design, ensuring domain architecture decisions reflect broader vertical delivery needs.
- Maintain a clear, non-duplicative division of accountability between core enterprise AI and data capability delivery, owned by Enterprise Data & AI, and domain-specific architecture and delivery, owned by this role.
- Partner with Information Security on data security architecture, AI risk controls, and compliance with data protection standards.
Organizational Leadership & Talent
- Build and lead a combined team spanning data enablement, data engineering, analytics, and architecture, defining a clear organizational structure and career paths for the function.
- Recruit and develop senior technical talent, including growing architecture and engineering capability in the Global Capability Center (India-based team).
- Serve as a mentor and technical authority for direct reports and the broader data community across Global Development.
- Model and reinforce a culture of data governance discipline and architectural rigor across the organization.
Stakeholder Engagement & Executive Communication
- Communicate data and AI architecture tradeoffs, platform investment needs, and long-term technology implications to business unit leadership.
- Serve as a trusted advisor to senior Global Development IT and business leadership on data strategy, platform investments, and risk.
- Prepare and deliver executive-level materials for governance forums, steering committees, and senior leadership on the health and roadmap of the data and architecture portfolio.
- Build relationships with the Office of the CIO to ensure enterprise compliance considerations and enterprise-wide data investment decisions reflect Global Development's needs, surfacing technical debt and platform gaps as needed.
We can combine all these into a single
- list for Responsibilities.
Qualifications And Requirements: includes Education & Experience and Technical Expertise.
Education & Experience:
- Bachelor’s degree in Computer Science, Information Systems, Business Administration, or a related field (Master’s degree preferred).
- 17+ years of experience in product ownership or management roles, with a focus on enterprise platforms, PPM tools, TBM frameworks, and financial-based systems.
- Experience in the biotech, pharma, or life sciences industry strongly preferred.
- Track record leading organizational integration or restructuring of technical functions.
Technical Expertise:
- Deep expertise in enterprise data architecture, data modelling, reference architecture design, and system integration strategies.
- Hands-on experience with cloud data platforms (e.g., AWS, Azure) and modern data platforms (e.g., Snowflake, Databricks).
- Strong grounding in data governance frameworks, master data management (MDM), and data catalog practices.
- Familiarity with GenAI and agentic AI/LLM architectural patterns, and how they apply to enterprise data platforms.
- Experience integrating or consolidating data engineering, analytics, and architecture functions across teams.
We can combine into Qualifications list.
Skills & Competencies:
- Proven ability to lead complex, cross-functional data and architecture initiatives, delivering results across matrixed enterprise and business stakeholders in a fast-paced environment.
- Exceptional ability to translate complex data and architecture tradeoffs into clear, executive-ready narratives for governance forums and senior leadership.
- Experience establishing data governance frameworks and ensuring regulatory compliance (e.g., GxP) across clinical, safety, and regulatory data domains.
- Experience in data governance, financial reporting, and compliance.
- Strong stakeholder management across technical, business, and executive audiences; comfortable serving as a principal spokesperson for the function on highly significant matters.
- Comfortable operating through cross-functional influence rather than direct authority, given shared accountability with Enterprise Data & AI, Information Security, and Enterprise Architecture.
We can list as Skills.
Certifications (Preferred):
- TOGAF (The Open Group Architecture Framework)
- DAMA CDMP (Certified Data Management Professional)
- PMP or equivalent project/program management certification
- Cloud platform certification (AWS/Azure/GCP data or architecture track)
We could either include under Skills or separate Certifications section. Since instruction mentions sections like Skills, Benefits, Pay, Schedule. Certifications not listed as example but could be part of Skills. Safer to include under Skills as part of list? But they said use sections only when posting has real, specific content. Certifications is specific content. Could create a Certifications section with heading
Certifications
and list. However the instruction's examples didn't include Certifications but didn't forbid. It said use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It didn't say limited to those; just gave examples. So we can add Certifications.
Benefits: relocation benefits mentioned: "If eligible, we can offer relocation benefits; we cannot offer a fully remote option." Also maybe other benefits not detailed. So Benefits section: relocation benefits.
Pay: Salary Range (annually) $255,000.00 - $424,900.00.
Schedule: "This is an on-site position 4 days/week, primarily based at our Sleepy Hollow, NY or Warren, NJ office." Also mention cannot offer fully remote. So Schedule section: on-site 4 days/week, location Sleepy Hollow, NY or Warren, NJ.
We should not include boilerplate like EEO, application instructions, etc.
Now produce HTML fragment.
Structure:
About the role
...
Responsibilities
- ...
...
Qualifications
- ...
...
Skills
- ...
...
Certifications
- ...
...
Benefits
Relocation benefits are available for eligible candidates.
Pay
The salary range for this role is $255,000.00 – $424,900.00 annually.
Schedule
This is an on‑site position requiring 4 days per week on site, primarily based at the Sleepy Hollow, NY or Warren, NJ office. A fully remote option is not offered.
Check that we didn't repeat job title. Good.
Make sure we preserve all substantive info: Did we miss any? The intro paragraph includes reporting to Executive Director, Global Development IT and collaborating with enterprise and business leaders. Included.
Responsibilities: we captured all bullet points.
Qualifications: captured education & experience and technical expertise.
Skills: captured.
Certifications: captured.
Benefits: relocation benefits.
Pay: salary range.
Schedule: on-site 4 days/week, location.
We omitted mention of "If eligible, we can offer relocation benefits; we cannot offer a fully remote option." We captured relocation benefits and note no fully remote in schedule.
We omitted "Where and When This is an on-site position 4 days/week, primarily based at our Sleepy Hollow, NY or Warren, NJ office. If eligible, we can
for prose. We need to decide sections: About the role (intro paragraph). Responsibilities (list). Qualifications (list? maybe bullet). Skills (list). Certifications (maybe part of Skills or separate). Benefits (relocation). Pay (salary range). Schedule (on-site 4 days/week, location). Could combine location and schedule in Schedule section. We must not create sections with filler like "commensurate with experience". We have actual content. Let's extract content. Intro paragraph: "The Executive Director, Data Management & Architecture will lead a unified Data Management and Architecture function within Global Development IT, bringing together data enablement and architecture capabilities into a single end-to-end organization. This role will define the strategy for data platforms, AI architecture, and data governance while ensuring Global Development's technology landscape supports secure, scalable, and compliant data capabilities. The Executive Director will partner across Enterprise Data & AI, Enterprise Architecture, Information Security, and Global Development leadership to advance enterprise data priorities and enable business outcomes. This role reports to the Executive Director, Global Development IT and will collaborate closely with enterprise and business leaders to shape data strategy, architecture standards, and long-term technology investments." That's About the role. Responsibilities: Under "Key Responsibilities" there are sub-sections with bullet-like sentences. We need to extract each duty as list items. Let's parse: Data Management & Enablement Leadership - Own and lead the unified Data Management & Enablement function, integrating the current Data Enablement organization and its data engineering, analytics, and data repository capabilities into a single team. - Absorb and lead the Services & Architecture function, consolidating data delivery and architecture and creating one point of accountability for data across the vertical. - Drive Data platforms and standards, including advancing toward a validated, centralized data repository. - Build and scale a data engineering and analytics team, including growing capability in the Global Capability Center (India-based team) in partnership with GCC leadership. Data & Solutions Architecture (Domain Authority) - Serve as Global Development's data and AI architecture authority, owning the end-to-end architecture strategy for data platforms, pipelines, and solutions within the vertical. - Provide domain-specific solution architecture, ensuring designs are scalable, compliant, and aligned to business strategy in adherence to Enterprise Architecture standards. - Define integration, API, and data exchange patterns between vertical systems and enterprise platforms, reducing point-to-point integrations and promoting reusable architecture components. - Represent Global Development at the Architecture Review Board (ARB), presenting proposed investments for approval and ensuring alignment with enterprise-wide standards. Data Governance & Regulatory Compliance - Partner with Enterprise Data Governance and Data Quality Management teams to enforce data quality, lineage, and regulatory compliance standards (e.g., GxP) within Global Development. - Own data classification, access, and quality standards for clinical trial, safety, and regulatory data, ensuring audit-readiness across the data estate. - Establish clear data stewardship accountability across Global Development's data domains, in partnership with business and functional leaders. - Ensure master data management (MDM) and data catalog practices are adopted consistently across the vertical. Partnership with Enterprise Data & AI and Enterprise Architecture - Partner with Enterprise Data & AI as the primary governance and standards partner, aligning on data platform usage, AI architecture patterns, AI governance, and MDM/data catalog adoption. - Coordinate with the enterprise Architect community on cross-vertical architecture and ARB participation, ensuring vertical architecture conforms to enterprise-wide standards. - Partner with Vertical Solution Architect on end-to-end solution design, ensuring domain architecture decisions reflect broader vertical delivery needs. - Maintain a clear, non-duplicative division of accountability between core enterprise AI and data capability delivery, owned by Enterprise Data & AI, and domain-specific architecture and delivery, owned by this role. - Partner with Information Security on data security architecture, AI risk controls, and compliance with data protection standards. Organizational Leadership & Talent - Build and lead a combined team spanning data enablement, data engineering, analytics, and architecture, defining a clear organizational structure and career paths for the function. - Recruit and develop senior technical talent, including growing architecture and engineering capability in the Global Capability Center (India-based team). - Serve as a mentor and technical authority for direct reports and the broader data community across Global Development. - Model and reinforce a culture of data governance discipline and architectural rigor across the organization. Stakeholder Engagement & Executive Communication - Communicate data and AI architecture tradeoffs, platform investment needs, and long-term technology implications to business unit leadership. - Serve as a trusted advisor to senior Global Development IT and business leadership on data strategy, platform investments, and risk. - Prepare and deliver executive-level materials for governance forums, steering committees, and senior leadership on the health and roadmap of the data and architecture portfolio. - Build relationships with the Office of the CIO to ensure enterprise compliance considerations and enterprise-wide data investment decisions reflect Global Development's needs, surfacing technical debt and platform gaps as needed. We can combine all these into a single
- list for Responsibilities.
Qualifications And Requirements: includes Education & Experience and Technical Expertise.
Education & Experience:
- Bachelor’s degree in Computer Science, Information Systems, Business Administration, or a related field (Master’s degree preferred).
- 17+ years of experience in product ownership or management roles, with a focus on enterprise platforms, PPM tools, TBM frameworks, and financial-based systems.
- Experience in the biotech, pharma, or life sciences industry strongly preferred.
- Track record leading organizational integration or restructuring of technical functions.
Technical Expertise:
- Deep expertise in enterprise data architecture, data modelling, reference architecture design, and system integration strategies.
- Hands-on experience with cloud data platforms (e.g., AWS, Azure) and modern data platforms (e.g., Snowflake, Databricks).
- Strong grounding in data governance frameworks, master data management (MDM), and data catalog practices.
- Familiarity with GenAI and agentic AI/LLM architectural patterns, and how they apply to enterprise data platforms.
- Experience integrating or consolidating data engineering, analytics, and architecture functions across teams.
We can combine into Qualifications list.
Skills & Competencies:
- Proven ability to lead complex, cross-functional data and architecture initiatives, delivering results across matrixed enterprise and business stakeholders in a fast-paced environment.
- Exceptional ability to translate complex data and architecture tradeoffs into clear, executive-ready narratives for governance forums and senior leadership.
- Experience establishing data governance frameworks and ensuring regulatory compliance (e.g., GxP) across clinical, safety, and regulatory data domains.
- Experience in data governance, financial reporting, and compliance.
- Strong stakeholder management across technical, business, and executive audiences; comfortable serving as a principal spokesperson for the function on highly significant matters.
- Comfortable operating through cross-functional influence rather than direct authority, given shared accountability with Enterprise Data & AI, Information Security, and Enterprise Architecture.
We can list as Skills.
Certifications (Preferred):
- TOGAF (The Open Group Architecture Framework)
- DAMA CDMP (Certified Data Management Professional)
- PMP or equivalent project/program management certification
- Cloud platform certification (AWS/Azure/GCP data or architecture track)
We could either include under Skills or separate Certifications section. Since instruction mentions sections like Skills, Benefits, Pay, Schedule. Certifications not listed as example but could be part of Skills. Safer to include under Skills as part of list? But they said use sections only when posting has real, specific content. Certifications is specific content. Could create a Certifications section with heading
Certifications
and list. However the instruction's examples didn't include Certifications but didn't forbid. It said usefor section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It didn't say limited to those; just gave examples. So we can add Certifications. Benefits: relocation benefits mentioned: "If eligible, we can offer relocation benefits; we cannot offer a fully remote option." Also maybe other benefits not detailed. So Benefits section: relocation benefits. Pay: Salary Range (annually) $255,000.00 - $424,900.00. Schedule: "This is an on-site position 4 days/week, primarily based at our Sleepy Hollow, NY or Warren, NJ office." Also mention cannot offer fully remote. So Schedule section: on-site 4 days/week, location Sleepy Hollow, NY or Warren, NJ. We should not include boilerplate like EEO, application instructions, etc. Now produce HTML fragment. Structure:
About the role
...
Responsibilities
- ... ...
Qualifications
- ... ...
Skills
- ... ...
Certifications
- ... ...
Benefits
Relocation benefits are available for eligible candidates.
Pay
The salary range for this role is $255,000.00 – $424,900.00 annually.
Schedule
This is an on‑site position requiring 4 days per week on site, primarily based at the Sleepy Hollow, NY or Warren, NJ office. A fully remote option is not offered.
Check that we didn't repeat job title. Good. Make sure we preserve all substantive info: Did we miss any? The intro paragraph includes reporting to Executive Director, Global Development IT and collaborating with enterprise and business leaders. Included. Responsibilities: we captured all bullet points. Qualifications: captured education & experience and technical expertise. Skills: captured. Certifications: captured. Benefits: relocation benefits. Pay: salary range. Schedule: on-site 4 days/week, location. We omitted mention of "If eligible, we can offer relocation benefits; we cannot offer a fully remote option." We captured relocation benefits and note no fully remote in schedule. We omitted "Where and When This is an on-site position 4 days/week, primarily based at our Sleepy Hollow, NY or Warren, NJ office. If eligible, we can