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Position Overview

TheGlobal Lead,Data Architecture & Platforms (internally known as the Director, Data Architecture & Platforms)is responsible fordefining and governing the enterprise data architecture, ensuring robust data management, governance, and excellence across the biotechnology value chain. The role ensures that data platforms are designed andoperatedto deliver trusted, compliant, and high-quality data that fuels analytics, AI, and regulatory reporting. This position leads efforts in data governance, metadata management, master data, and enterprise data modeling, working across business and technology teams to enable a consistent and scalable data ecosystem.

Job Description

Key Accountabilities

+ Define andmaintainthe enterprise data architecture, ensuring alignment with business, analytics, and AI strategies

+ Lead dataand AIgovernance programs, including policies, stewardship, metadata management, and master data management

+ Establish and enforce standards for data quality, lineage, and cataloging across biotech systems and platforms

+ Ensurethatdata platforms (cloud, warehouses, lakes, meshes) are architected for scale, compliance, and interoperability

+ Drive adoption of data excellence practices, ensuring consistent definitions, KPIs, and reference data across the organization

+ Collaborate with IT, compliance, and cybersecurity to align data platforms with regulatory (GxP, FDA, GDPR) and security requirements

+ Providearchitectural guidance for new digital and AI initiatives, ensuring data readiness and fit-for-purpose design

+ Evaluate and select data management tools, platforms, and vendors to support enterprise data strategy

+ Build andmaintaina community of practice for data governance and stewardship across functions

+ Champion cultural change toward data-driven decision making and literacy across biotech operations

+ Manage a team of 2-4 direct reports

Education & Qualifications

+ Bachelor’s degree in Computer Science, Information Systems, Data Management, or related technical fieldrequired

+ Master’s degree in Data Architecture, Data Science, or Technology Management preferred

+ Certifications in Data Governance (e.g., DGSP, DCAM), Data Architecture (TOGAF, DAMA), or Cloud Data Platforms desirable

+ 10+ years of experience in data architecture, data management, or enterprise data governance.

+ At least 6 years in a leadership capacity, guiding teams or governance programs.

+ Strong knowledge of datamodeling, master data management, metadata, datacataloging, and governance frameworks.

+ Experience designing architectures in cloud platforms (AWS, Azure) and modern data ecosystems (Snowflake, Collibra, Informatica,Highbyte, Alteryx).

+ Familiarity with regulated biotech or life sciences data environments and compliance standards

Scope & Decision Making

+ Accountable for enterprise-wide data architecture and governance standards

+ Ensures dataand AIplatforms are trustworthy, compliant, and optimized for analytics and AI

+ Direct accountability forestablishingdata quality, governance, and stewardship frameworks

+ Collaboration withappropriate teamstoinfluence over enterprise IT architecture and technologyroadmap andinvestments

+ Direct impact on the reliability, compliance, and usability of enterprise data for decision making and regulatory filings.

+ Liaises with Quality, Manufacturing, R&D, Supply Chain, and senior business leadership.

+ Provides architectural oversight on data strategy and influences executive-level decisions on digital transformation

+ Exercisesownershipin defining and enforcing enterprise data standards, governance policies, and architecture principles.

+ Provides independent judgment on platformselection, architecture design, and governance approaches.

+ Responsible for balancing business agility with compliance and standardization

Key Knowledge

+ Data Architecture:Expertisein datamodeling, enterprise architecture, and cloud-native data platform design.

+ Governance: Strong knowledge of governance frameworks (DAMA, DCAM), metadata management, and master data.

+ Regulatory: Familiarity with biotech regulatory requirements (FDA, EMA, GDPR,GxP) and data privacy laws.

+ Leadership: Ability to drive cross-functional alignment and influence senior stakeholders.

+ Tools & Platforms: Experience with Collibra, Informatica,Alteryx,HighByte, Snowflake, Databricks, or similar data governance/data platform tools.

+ Business: Strong understanding of biotech data domains (manufacturing, quality, supply chain, R&D).

+ Soft Skills: Excellent communication, facilitation, and change management skills.

+ Other: Commitment to building a culture of data excellence and literacy

_To all agencies: Please, no phone calls or emails to any employee of FUJIFILM about this requisition. All resumes submitted by search firms/employment agencies to any employee at FUJIFILM via-email, the internet or in any form and/or method will be deemed the sole property of FUJIFILM, unless such search firms/employment agencies were engaged by FUJIFILM for this requisition and a valid agreement with FUJIFILM is in place. In the event a candidate who was submitted outside of the FUJIFILM agency engagement process is hired, no fee or payment of any kind will be paid._

**Job Locations** _US-NC-Holly Springs_

**Posted Date** _16 hours ago_ _(9/10/2025 8:57 AM)_

**_Requisition ID_** _2025-35497_

**_Category_** _Information Technology_

**_Company (Portal Searching)_** _FUJIFILM Biotechnologies_