Senior Director, Enterprise Data & Analytics

Scholar Rock

. Design, build, and operate an integrated enterprise data ecosystem connecting SAP, Veeva, commercial platforms, R&D, Technical Operations, Quality, G&A systems, and external data providers .

Posted 11/5/2026full-timeCambridge • Massachusetts • United StatesSenior💰 $245,000 - $325,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in enterprise data architecture, engineering, and integration, with a strong focus on data governance, quality, and analytics capabilities. Proven ability to lead cross-functional teams and deliver scalable data solutions in highly regulated environments.

Highest-signal resume keywords

Enterprise Data ArchitectureCloud Data PlatformsData GovernanceTechnical LeadershipSelf-Service Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringAPIsETL/ELTEnterprise Integration ArchitectureBusiness Intelligence TechnologiesData Quality StandardsMaster Data ManagementAI EnablementData PipelinesIntegration Frameworks

Soft Skills

Executive CommunicationBusiness AcumenCross-Functional Leadership

Tools & Technologies

SAPVeevaCloud Data PlatformsAnalytics PlatformsData Integration Tools

Industry Keywords

BiotechnologyPharmaceuticalsLife SciencesGxP RequirementsRegulated Computerized Systems

Tech Stack

Tools & technologies

CloudCyber SecurityERPETL

About the role

Key responsibilities & impact

Design, build, and operate an integrated enterprise data ecosystem connecting SAP, Veeva, commercial platforms, R&D, Technical Operations, Quality, G&A systems, and external data providers
Develop and maintain reliable data pipelines, APIs, and integration frameworks
Establish scalable data architecture, interoperability standards, integration monitoring, data governance, stewardship, master data management, and data quality standards
Deliver self-service dashboards, reporting, and analytics capabilities
Build data foundations and technical capabilities for AI, advanced analytics, natural-language data access, and intelligent automation
Partner with Cybersecurity, Quality, Legal, and Compliance on data security, privacy, integrity, and regulatory controls
Build, develop, and lead a high-performing Enterprise Data, Analytics & Integration team while remaining engaged in technical delivery
Partner with business leaders to translate data and reporting needs into scalable solutions
Collaborate with Enterprise Applications, Infrastructure & Operations, and Cybersecurity
Establish a technology roadmap, operating model, vendor partnerships, and performance metrics
Drive initiatives from concept through implementation and adoption, delivering improvements in data accessibility, reliability, operational efficiency, and business value

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline
12+ years of progressive experience in enterprise data architecture, engineering, integration, analytics, or related technology disciplines
5+ years of technical leadership experience, including demonstrated success building or transforming enterprise data capabilities
Proven hands-on experience designing, implementing, and troubleshooting enterprise data platforms, pipelines, and integrations
Strong expertise in cloud data platforms, APIs, ETL/ELT, data engineering, enterprise integration architecture, and business intelligence technologies
Demonstrated experience delivering self-service analytics and reporting solutions
Experience integrating ERP, CRM, and other business-critical enterprise applications
Strong understanding of data governance, master data management, data quality, and AI enablement
Proven ability to lead cross-functional initiatives, manage technology partners, and deliver production-ready solutions
Strong business acumen, executive communication skills, and ability to balance strategic leadership with hands-on execution
Preferred: experience in biotechnology, pharmaceuticals, life sciences, or another highly regulated industry
Preferred: experience with SAP, Veeva, and modern cloud data and analytics platforms
Preferred: understanding of GxP requirements, data integrity, and regulated computerized systems
Preferred: experience supporting global commercial operations and enterprise functions
Preferred: experience implementing AI-enabled analytics, automation, or natural-language data solutions