Senior Director, Enterprise Data & Analytics

Scholar Rock Holding Corporation; Cambridge (MA); On-site; USD 180,000 - 240,000; Full time

Job summary

Scholar Rock Holding Corporation is seeking an experienced Enterprise Data Architect to design and run a unified data ecosystem across SAP, Veeva, and core business systems. You will lead a team delivering scalable pipelines, governance, and analytics platforms to empower data-driven decisions across Commercial, R&D, and Operations.

The role emphasizes deep technical delivery, cross-functional collaboration, and a pragmatic roadmap for data capabilities within a regulated biopharma environment.

Qualifications

• Bachelor's degree in CS, IS, engineering, or related field.
• 12+ years in enterprise data architecture, engineering, integration, or analytics.
• 5+ years in technical leadership building or transforming data capabilities.
• Hands-on design, implementation, and troubleshooting of data platforms.
• Strong expertise in cloud data platforms, APIs, ETL/ELT, BI tech.
• Proven self-service analytics and reporting for business users.
• Experience integrating ERP, CRM, and other apps.
• Knowledge of data governance, MDM, data quality, AI enablement.
• Ability to lead cross-functional initiatives & manage partners.

Responsibilities

• Design, build, and operate an integrated enterprise data ecosystem connecting SAP, Veeva, commercial platforms, R&D, and other systems.
• Develop and maintain reliable data pipelines, APIs, and integration frameworks for secure information exchange.
• Establish scalable data architecture and interoperability standards to eliminate data silos.
• Lead technical design, implementation, troubleshooting, and resolution of data challenges.
• Deliver intuitive dashboards and analytics enabling self-service insights for leaders.
• Provide visibility into performance across Commercial, R&D, Ops, Quality, and G&A.
• Governance, master data management, data quality, and AI enablement standards.

Skills

Cloud data platforms

APIs

ETL/ELT

Data engineering

Enterprise integration architecture

BI technologies

Self-service analytics

Executive communication

Cross-functional leadership

Data governance

AI enablement

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline

Tools

SAP

Veeva

Job description

Summary of Position:

Scholar Rock is delivering muscle-targeted breakthroughs to transform the treatment of spinal muscular atrophy (SMA) and other rare neuromuscular diseases where muscle atrophy remains a critical unmet need.

As a global leader in myostatin biology, a field focused on proteins that regulate muscle mass, the biopharmaceutical company is named for the visual resemblance of a scholar rock to protein structures. Our commitment to unlock fundamentally different treatment approaches is powered by broad application of a proprietary platform, which has developed novel monoclonal antibodies to modulate protein growth factors with extraordinary selectivity. Scholar Rock works every day to create new possibilities for patients through its highly innovative anti-myostatin program, including opportunities in additional rare neuromuscular diseases. Learn more about our neuromuscular franchise at ScholarRock.com and follow @ScholarRock on X and on LinkedIn.

Position Responsibilities:

Enterprise Data Architecture & Integration

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 that enable secure, accurate, and timely information exchange across the enterprise.

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.

Data Accessibility, Analytics & AI

Deliver intuitive, self-service dashboards, reporting, and analytics capabilities that put actionable information directly at employees' and leaders' fingertips.

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 to ensure accuracy, consistency, and reliability.

Build the data foundations and technical capabilities to support 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.

Leadership & Execution

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.

Candidate Qualifications:

Required

• 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 business intelligence technologies.
• Demonstrated 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.
• 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.
• 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.

Leadership Attributes

The successful candidate will bring an enterprise mindset, builder mentality, strong technical judgment, and a bias for action. This individual will be a collaborative leader who takes ownership, solves problems, develops talent, and delivers scalable solutions that connect the enterprise and make information readily accessible.

Above all, we are seeking someone who can both build the infrastructure that connects our data and deliver the tools that make it useful to our business.

Scholar Rock is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.