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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in enterprise data architecture, data governance, and integration strategies, with a strong focus on leading cross-functional teams and initiatives. Proven ability to communicate complex data and architecture concepts to executive stakeholders while ensuring compliance with industry standards.
Highest-signal resume keywords
Enterprise Data ArchitectureData Governance FrameworksCloud Data Platforms (AWS, Azure)Master Data Management (MDM)Stakeholder Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModellingReference Architecture DesignSystem Integration StrategiesData Quality StandardsData Catalog PracticesAPI Integration PatternsData Pipeline SolutionsData EngineeringAnalytics Capability DevelopmentData Stewardship
Soft Skills
Cross-Functional LeadershipTechnical DirectionCommunication SkillsMentoringInfluence Without Authority
Tools & Technologies
SnowflakeDatabricksPPM ToolsTBM FrameworksGenAIAgentic AI/LLM
Certifications & Qualifications
TOGAFDAMA CDMPPMPCloud Platform Certification
Industry Keywords
BiotechPharmaLife SciencesRegulatory Compliance (GxP)Clinical Data ManagementSafety Data Management
Tech Stack
Tools & technologiesAWSAzureCloudPMP
About the role
Key responsibilities & impact- Lead a unified Data Management and Architecture function within Global Development IT
- Define strategy for data platforms, AI architecture, and data governance
- Ensure the technology landscape supports secure, scalable, and compliant data capabilities
- Partner with Enterprise Data & AI, Enterprise Architecture, Information Security, and Global Development leadership
- Own and lead the unified Data Management & Enablement function
- Integrate data engineering, analytics, data repository, data delivery, and architecture capabilities into a single team
- Drive data platforms and standards, including progress toward a validated centralized data repository
- Build and scale data engineering and analytics capability, including the India-based Global Capability Center team
- Serve as Global Development’s data and AI architecture authority
- Define architecture strategies for data platforms, pipelines, and solutions
- Provide domain-specific solution architecture aligned with Enterprise Architecture standards
- Define integration, API, and data exchange patterns
- Represent Global Development at the Architecture Review Board and present proposed investments
- Enforce data quality, lineage, classification, access, regulatory compliance, MDM, and data catalog standards
- Establish data stewardship accountability across Global Development data domains
- Coordinate cross-vertical architecture and Architecture Review Board participation
- Partner on end-to-end solution design and data security architecture
- Build and lead a combined data enablement, engineering, analytics, and architecture team
- Recruit, develop, mentor, and provide technical direction to talent
- Communicate architecture tradeoffs, platform investment needs, and technology implications to leadership
- Prepare executive-level materials for governance forums, steering committees, and senior leadership
- Build relationships with the Office of the CIO and surface technical debt and platform gaps
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Information Systems, Business Administration, or a related field
- 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 such as AWS or Azure and modern data platforms such as Snowflake or 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 their application to enterprise data platforms
- Experience integrating or consolidating data engineering, analytics, and architecture functions across teams
- Ability to lead complex, cross-functional data and architecture initiatives across matrixed enterprise and business stakeholders
- Ability to translate complex data and architecture tradeoffs into executive-ready narratives
- Experience establishing data governance frameworks and ensuring regulatory compliance such as 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
- Ability to operate through cross-functional influence rather than direct authority
- Preferred certifications: TOGAF, DAMA CDMP, PMP or equivalent, and cloud platform certification
Benefits
Comp & perks- Relocation benefits if eligible
- Annual bonuses or other incentive plans
- Equity awards
- Pension or retirement benefits
- 401(k) company match
- Health and wellness programs
- Fitness centers
- Medical, dental, vision, life and disability insurance benefits
- Paid time off
- Family support benefits
- Reasonable accommodation during the recruitment process where required