Associate Director, Data and Solution Architect Revenue Management Systems

Working with Us

Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it.

You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more

BMS is looking for a data and solution architect for its Revenue Management function within Commercialization Business Insight and Technology group.

• Provide Data Architecture & Management leadership in Data modeling, Data Governance, Metadata management and data lineage
• Lead the technical and data strategy, architecture, and roadmap for all revenue management platforms across the enterprise.
• Provide technical leadership during the implementation, upgrades and integration of Model N with ERP (e.g., SAP, Oracle), Gross to Net and other enterprise systems and processes.
• Oversee system and data architecture, ensuring best practices for security, scalability, performance, and maintainability.
• Develop and execute integration strategies using APIs, ETL tools, and middleware to ensure seamless data flow and interoperability.
• Support the creation and maintenance of technical specifications, process documentation, and SOX/audit compliance artifacts.
• Conduct solution reviews, validate configurations, and ensure alignment with business goals and architectural standards.
• Utilize AI and analytics tools to extract insights from large datasets, ensuring the accuracy and integrity of Model N data for analytical and reporting purposes.
• Mentor and guide technical teams, fostering a culture of innovation, collaboration, and continuous improvement.

• Enterprise IT Architecture Deep experience designing, implementing, and governing enterprise-scale IT architecture, including infrastructure, application, and cloud environments
• Data Architecture & Management Data modeling (conceptual, logical, and physical), Master Data Management (MDM) and Data Governance, Metadata management and data lineage, Data quality, security, and privacy best practices.
• Cloud Platforms & Services Advanced proficiency in cloud technologies (AWS, Azure, GCP), including cloud-native architecture, migration strategies, security, and cost optimization.
• Software & Data Engineering Expertise in software architecture, microservices, API design, and modern engineering practices. Strong background in data architecture for both structured and unstructured data, data engineering, data modeling, metadata management and data lineage, data quality, security, and privacy best practices.
• Advanced Analytics & Programming Proficiency in statistical programming languages (R, Python, etc.) for data manipulation, analytics, and deriving insights from large datasets.
• SQL & Database Technologies Advanced SQL development skills and hands‑on experience with relational and No
  
  SQL databases (e.g., SQL Server, Oracle, Postgre
  
  SQL, Mongo
  
  DB). Data warehousing and big data platforms (Snowflake, Redshift, Hadoop, Spark)
• Business Analysis & Solution Design Proven ability to lead business analysis, requirements gathering, and the design and development of technology solutions to address complex business challenges.
• SDLC & Methodologies In‑depth knowledge of SDLC methodologies, including Agile, Scrum, Kanban, and Waterfall. Experience with Dev Ops practices and CI/CD pipelines.
• Technical Project & Program Management Demonstrated experience managing large‑scale technical projects, including planning, resource allocation, risk management, and delivery.
• Healthcare Technology Domain…