Associate Director, Enterprise Data Architecture & Growth

REGENXBIO; Virginia (MN); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Annual bonus

Education assistance

Retirement plan with employer match

Stock options

Summer hours

Job summary

REGENXBIO seeks an Associate Director of Data & Information Architecture to design and execute the enterprise data architecture strategy supporting commercial growth.

You will build and lead a secure, scalable data warehouse, integrate internal and third‑party data, and establish master/reference data standards while partnering with Commercial, Medical, Legal, and IT for trusted analytics with clear lineage, quality, and privacy controls.

Qualifications

• Bachelor's degree in Computer Science, CIS, Mathematics, Life Science or equivalent required.
• Minimum of 12 years of database architecture/engineering or Enterprise Data experience ideally in Oracle, SQL Server or equivalent.
• Deep experience designing and operating enterprise data warehouses and dimensional models for analytics.
• Strong command of SQL, data modeling, ELT/ETL design, orchestration, metadata, and business intelligence semantic modeling.
• Hands‑on experience integrating multiple commercial-data domains, including some combination of CRM/sales, marketing, payer, patient-support, specialty pharmacy, and claims data.
• Strong understanding of the operation of an ERP system.
• Exposure to or participation in Agile/Scrum and traditional waterfall SDLC experience.
• Outstanding interpersonal skills, a can‑do and team player attitude, excellent, clear written and verbal communication skills, and keen attention to detail.
• Ability to work effectively in a high demand, fast‑paced, and evolving environment, work on multiple projects at a time.

Responsibilities

• Oversee data pipelines and system-to-system data flows ensuring reliable and scalable infrastructure.
• Help define and maintain the target commercial data architecture for sales, CRM, payer, patient-support, and claims-linked analytics.
• Own the ERP (Oracle Cloud) data model and become an expert on ERP Business Process functions including but not limited to Procurement, Planning, Inventory, Supply Chain, and Manufacturing; be able to extract and integrated data from those functions.
• Identify the company’s internal and external data sources, lead the design and operation of a data warehouse and its landing, harmonized, conformed, and semantic layers.
• Serve as design authority for commercial-data initiatives and chair architectural review, model review, and commercial-data governance forums.
• Translate commercial priorities into quarterly roadmaps, objectives and key results, release plans, and measurable business outcomes.
• Collaborate with others on the team and with Business stakeholders in gathering requirements, designing systems, and demonstrating and reviewing databases. Establish scalable processes for system governance, data integrity, and ongoing optimization.
• Document designs and database architecture, adhere to Change Management and Validation processes, use source code control repositories (ie; Git), conduct code reviews, eventually implement continuous integration and design with constant attention on security and keeping applications safe from penetrable threats.
• Determine the requirements for new databases occasionally create and publish reports.
• Audit database regularly to maintain quality.
• It is imperative that REGENXBIO employees embody our core values by working collaboratively, building strong relationships, and using clear communication to meet shared objectives.

Skills

Database architecture

SQL

Data modeling

ETL design

BI semantic modeling

Agile/Scrum

Education

Bachelor's degree in Computer Science / related field

Tools

Oracle Cloud

SQL Server

Git

Job description

REGENXBIO seeks an Associate Director of Data & Information Architecture to design and execute the enterprise data architecture strategy supporting commercial growth.

You will build and lead a secure, scalable data warehouse, integrate internal and third‑party data, and establish master/reference data standards while partnering with Commercial, Medical, Legal, and IT for trusted analytics with clear lineage, quality, and privacy controls.