Head of Enterprise Data & Analytics

Scholar Rock, Inc.

Cambridge (MA)

On-site

USD 245,000 - 325,000

Full time

8 days ago

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Job summary

Scholar Rock is looking for a hands-on Senior Director, Enterprise Data & Analytics to build and lead enterprise data capabilities as we scale as a global biotechnology company. You will connect data across systems and establish scalable data architecture, governance, analytics, and AI enablement across Commercial, R&D, Technical Operations, Quality, and G&A functions.

We are seeking a builder and doer who combines deep technical expertise with business acumen and will deliver practical

Qualifications

Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline; advanced degree 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.
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 BI 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, and data quality.
Strong business acumen, executive communication skills, and ability to balance strategic leadership with hands-on execution.

Responsibilities

Design, build, and operate an integrated enterprise data ecosystem connecting critical systems such as SAP and Veeva.
Develop and maintain reliable data pipelines, APIs, and integration frameworks for secure, timely information exchange.
Establish scalable data architecture, interoperability standards, and monitoring to ensure trusted information.
Lead technical design, implementation, troubleshooting, and resolution of complex data challenges.
Deliver self-service dashboards and analytics for employees and leaders.
Partner with Cybersecurity, Legal, and Compliance to ensure data security and regulatory controls.