Sobre este puesto de Senior Director, Enterprise Data & Analytics en Scholarrock
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.
This leader will be responsible for connecting data across enterprise systems and transforming it into trusted, timely, and readily accessible information that enables employees and leaders to make informed decisions. The role will establish scalable data architecture, engineering, integration, governance, analytics, and AI enablement capabilities across Commercial, Research & Development, Technical Operations, Quality, and General & Administrative (G&A) functions.
We are looking for a builder and a doer, someone who combines deep technical expertise with strong business acumen, rolls up their sleeves to solve complex challenges, and delivers practical solutions while building a high-performing team.
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.
- 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.
- 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.
Data Accessibility, Analytics & AI
Leadership & Execution
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.
- 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.
Preferred
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.
