Senior Director, Enterprise Data & Analytics

Scholar Rock•Cambridge, MA

About The Position

Scholar Rock is seeking a hands-on, results-driven Senior Director, Enterprise Data & Analytics to build and lead enterprise data capabilities as the company scales as a global commercial biotechnology company. The role connects data across enterprise systems and transforms it into trusted, timely, accessible information that enables employees and leaders to make informed decisions. It establishes scalable data architecture, engineering, integration, governance, analytics, and AI enablement across Commercial, Research & Development, Technical Operations, Quality, and General & Administrative functions. The successful candidate combines deep technical expertise with business acumen, leads technical delivery while building a high-performing team, and delivers practical, scalable solutions. The position partners with business and technology leaders to improve data accessibility, reliability, operational efficiency, and business value.

Requirements

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline; an advanced degree is preferred.
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.
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.
Experience delivering self-service analytics and reporting solutions that enable business users to independently access and use enterprise data.
Experience integrating ERP, CRM, and other business-critical enterprise applications.
Strong understanding of data governance, master data management, data quality, and AI enablement.
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.

Nice To Haves

Experience in biotechnology, pharmaceuticals, life sciences, or another highly regulated industry.
Experience with SAP, Veeva, and modern cloud data and analytics platforms.
Understanding of GxP requirements, data integrity, and regulated computerized systems.
Experience supporting global commercial operations and enterprise functions.
Experience implementing AI-enabled analytics, automation, or natural-language data solutions.
Advanced degree.

Responsibilities

Design, build, and operate an integrated enterprise data ecosystem connecting business-critical systems, including 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 for secure, accurate, and timely information exchange.
Establish scalable data architecture, interoperability standards, and integration monitoring to eliminate data silos and ensure consistent, trusted information.
Personally lead technical design, implementation, troubleshooting, and resolution of complex data and integration challenges.
Deliver intuitive self-service dashboards, reporting, and analytics capabilities that provide actionable information to employees and leaders.
Enable integrated, timely visibility into business performance across Commercial, R&D, Technical Operations, Quality, and G&A.
Establish enterprise data governance, stewardship, master data management, and data quality standards.
Build data foundations and technical capabilities for AI, advanced analytics, natural-language data access, and intelligent automation.
Partner with Cybersecurity, Quality, Legal, and Compliance to ensure appropriate data security, privacy, integrity, and regulatory controls.
Build, develop, and lead a high-performing Enterprise Data, Analytics & Integration team while remaining actively engaged in technical delivery.
Partner with business leaders to translate data and reporting needs into scalable, practical solutions.
Collaborate with Enterprise Applications, Infrastructure & Operations, and Cybersecurity to deliver integrated enterprise technology capabilities.
Establish a pragmatic technology roadmap, operating model, vendor partnerships, and performance metrics.
Drive initiatives from concept through implementation and adoption, delivering measurable improvements in data accessibility, reliability, operational efficiency, and business value.