Executive Director: Data Management, Analytics, AI & Architecture
BioSpace · Warren, NJ · 1 mo ago
Information Technology$255k–$425k/yrFull-time
We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title as heading. We need to extract content.
From posting:
- About the role: The first paragraph(s) describing role: "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. 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 offer relocation benefits; we cannot offer a fully remote option."
We need to separate "Where and When" maybe into Schedule? Actually schedule is on-site 4 days/week. Location is Sleepy Hollow, NY or Warren, NJ. Benefits mention relocation benefits. So we can put location in About the role or maybe separate? The instruction: Use headings for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we need to map content.
- About the role: description of role purpose, reporting, partnership.
- Responsibilities: list of key responsibilities (bulleted). We'll extract bullet points under "Key Responsibilities". They have subheadings: Data Management & Enablement Leadership, Data & Solutions Architecture (Domain Authority), Data Governance & Regulatory Compliance, Partnership with Enterprise Data & AI and Enterprise Architecture, Organizational Leadership & Talent, Stakeholder Engagement & Executive Communication. We'll need to turn each bullet into maybe grouping under
- . Could also have nested? We'll just list each responsibility as
- with the text.
- Requirements: maybe "Qualifications And Requirements" includes Education & Experience and Technical Expertise. The instruction: Use Requirements heading for any list of duties/requirements/benefits. So we can put Education & Experience and Technical Expertise under Requirements? Actually they have separate Qualifications And Requirements section with subparts: Education & Experience, Technical Expertise. Then later Skills & Competencies, Certifications (Preferred). So we need to map:
- Requirements: maybe Education & Experience and Technical Expertise (the hard requirements). Could also include "Experience in the biotech, pharma, or life sciences industry strongly preferred." etc.
- Qualifications: maybe the same as Requirements? But they differentiate Qualifications And Requirements heading. However instruction says use headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we need both Requirements and Qualifications sections. We'll split: Requirements = Education & Experience + Technical Expertise (maybe). Qualifications = Skills & Competencies + Certifications (Preferred). Or we could treat Qualifications as the "Qualifications And Requirements" block and Skills as separate. But we have both headings; we need to allocate content accordingly without duplication.
Let's decide:
- Requirements: Education & Experience, Technical Expertise (the must-haves).
- Qualifications: Skills & Competencies, Certifications (Preferred) (maybe also include "Preferred" certifications). We'll include Skills & Competencies as bullet list, Certifications as bullet list.
- Benefits: mention relocation benefits, total rewards package details (annual bonuses, equity awards, pension, 401(k) match, health and wellness, fitness centers, insurance, paid time off, family support). Also mention "If eligible, we can offer relocation benefits". Also mention "Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits." Also mention link for US benefits. We'll include that.
- Pay: Salary Range (annually) $255,000.00 - $424,900.00.
- Schedule: on-site position 4 days/week, primarily based at Sleepy Hollow, NY or Warren, NJ office. Also mention cannot offer fully remote. So schedule: on-site 4 days/week.
We also need to include location maybe in About the role or Schedule. Since Schedule heading is for schedule, we can include location there as well? Might be okay. But we could also put location in About the role. However we already have location in the "Where and When" paragraph. We could keep that in About the role. But schedule heading expects schedule details; we can still include location there but maybe better to keep location in About the role. However the instruction: "Use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." It doesn't forbid adding extra info in those sections. So we can put location in About the role. Thus:
About the role
... (including location and schedule? maybe not schedule). We'll include description plus location and maybe note on-site 4 days/week? But schedule heading will cover that. To avoid duplication, we can keep location only in About the role, and schedule heading only about on-site 4 days/week and remote not offered. Let's craft. Now we need to output only HTML fragment, no markdown fences. We'll produce:
About the role
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. The position is primarily based at the Sleepy Hollow, NY or Warren, NJ office.
Responsibilities
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Requirements
- 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.
- 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.
Qualifications
- 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,