Associate Director, Data and Solution Architect Revenue Management Systems
Bristol-Myers Squibb
Associate Director, Data and Solution Architect Revenue Management Systems
Job Description
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. Skilled at working across multiple teams, including business stakeholders, developers, QA, and operations, to deliver integrated solutions. Innovation & Continuous Learning: Innovative mindset with a drive to challenge the status quo, ask insightful questions, and propose bold ideas. Agility to quickly learn and apply new tools, technologies, and processes. Experience with compliance frameworks (e.g., SOX), audit processes, and maintaining comprehensive technical documentation. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. 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. Experience with DevOps practices and CI/CD pipelines. Ability to translate business needs into technical solutions that drive user adoption and deliver exceptional user experiences. Proven experience in technical leadership, mentoring, team management, and fostering a culture of excellence and accountability. Revenue Management Systems: Strong understanding of Model N US Revenue Management modules (e.g., Chargebacks, Managed Care, Government Pricing, Medicaid, Commercial Rebates) and their integration with ERP (SAP, Oracle), CRM, and EDI systems. Systems Integration & Data Migration: Extensive experience with systems integration, interface design, data migration, and middleware solutions. Troubleshooting & Automation: Skilled in root cause analysis, troubleshooting complex issues, and implementing process automation to improve efficiency and reliability. Communication & Stakeholder Management: Excellent verbal and written communication skills, with the ability to bridge technical and business discussions and present complex concepts to diverse audiences. 10+ years of relevant industry experience 5+ years of experience in data and solutions architecture Bachelor's or master's degree in computer science, Information Systems, Engineering, or a related field. Relevant certifications (e.g., AWS/Azure Solutions Architect, TOGAF, PMP, Certified ScrumMaster) are a plus.
Key Responsibilities
- 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
- Work across multiple teams, including business stakeholders, developers, QA, and operations, to deliver integrated solutions
Required Qualifications
- Bachelor's or master's degree in Computer Science, Information Systems, Engineering, or a related field
- 0+ years of relevant industry experience
- + years of experience in data and solutions architecture
Preferred Qualifications
- Relevant certifications (e.g., AWS/Azure Solutions Architect, TOGAF, PMP, Certified ScrumMaster)
Skills Required
- Deep experience designing, implementing, and governing enterprise-scale IT architecture, including infrastructure, application, and cloud environments
- 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
- Advanced proficiency in cloud technologies (AWS, Azure, GCP), including cloud-native architecture, migration strategies, security, and cost optimization
- 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
- Experience with DevOps practices and CI/CD pipelines
- Ability to translate business needs into technical solutions that drive user adoption and deliver exceptional user experiences
- Proven experience in technical leadership, mentoring, team management, and fostering a culture of excellence and accountability
- Strong understanding of Model N US Revenue Management modules (e.g., Chargebacks, Managed Care, Government Pricing, Medicaid, Commercial Rebates) and their integration with ERP (SAP, Oracle), CRM, and EDI systems
- Extensive experience with systems integration, interface design, data migration, and middleware solutions
- Skilled in root cause analysis, troubleshooting complex issues, and implementing process automation to improve efficiency and reliability
- Excellent verbal and written communication skills, with the ability to bridge technical and business discussions and present complex concepts to diverse audiences
- Innovative mindset with a drive to challenge the status quo, ask insightful questions, and propose bold ideas
- Agility to quickly learn and apply new tools, technologies, and processes
- Experience with compliance frameworks (e.g., SOX), audit processes, and maintaining comprehensive technical documentation
Benefits & Perks
- Paid national holidays and optional holidays
- Global Shutdown Days between Christmas and New Year's holiday
- Up to 120 hours of paid vacation
- Up to two (2) paid days to volunteer
- Sick time off
- Summer hours flexibility
Locations
- Princeton NJ, United States
Salary
Estimated Salary Rangemedium confidence
180,000 - 250,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Deep experience designing, implementing, and governing enterprise-scale IT architecture, including infrastructure, application, and cloud environmentsintermediate
- Data modeling (conceptual, logical, and physical), Master Data Management (MDM) and Data Governance, Metadata management and data lineage, Data quality, security, and privacy best practicesintermediate
- Advanced proficiency in cloud technologies (AWS, Azure, GCP), including cloud-native architecture, migration strategies, security, and cost optimizationintermediate
- Expertise in software architecture, microservices, API design, and modern engineering practicesintermediate
- 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 practicesintermediate
- Experience with DevOps practices and CI/CD pipelinesintermediate
- Ability to translate business needs into technical solutions that drive user adoption and deliver exceptional user experiencesintermediate
- Proven experience in technical leadership, mentoring, team management, and fostering a culture of excellence and accountabilityintermediate
- Strong understanding of Model N US Revenue Management modules (e.g., Chargebacks, Managed Care, Government Pricing, Medicaid, Commercial Rebates) and their integration with ERP (SAP, Oracle), CRM, and EDI systemsintermediate
- Extensive experience with systems integration, interface design, data migration, and middleware solutionsintermediate
- Skilled in root cause analysis, troubleshooting complex issues, and implementing process automation to improve efficiency and reliabilityintermediate
- Excellent verbal and written communication skills, with the ability to bridge technical and business discussions and present complex concepts to diverse audiencesintermediate
- Innovative mindset with a drive to challenge the status quo, ask insightful questions, and propose bold ideasintermediate
- Agility to quickly learn and apply new tools, technologies, and processesintermediate
- Experience with compliance frameworks (e.g., SOX), audit processes, and maintaining comprehensive technical documentationintermediate
Required Qualifications
- Bachelor's or master's degree in Computer Science, Information Systems, Engineering, or a related field (experience)
- 0+ years of relevant industry experience (experience)
- + years of experience in data and solutions architecture (experience)
Preferred Qualifications
- Relevant certifications (e.g., AWS/Azure Solutions Architect, TOGAF, PMP, Certified ScrumMaster) (experience)
Responsibilities
- 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
- Work across multiple teams, including business stakeholders, developers, QA, and operations, to deliver integrated solutions
Benefits
- general: Paid national holidays and optional holidays
- general: Global Shutdown Days between Christmas and New Year's holiday
- general: Up to 120 hours of paid vacation
- general: Up to two (2) paid days to volunteer
- general: Sick time off
- general: Summer hours flexibility
Tags & Categories
Answer 10 quick questions to check your fit for Associate Director, Data and Solution Architect Revenue Management Systems @ Bristol-Myers Squibb.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs
Associate Director, Data and Solution Architect Revenue Management Systems
Bristol-Myers Squibb
Associate Director, Data and Solution Architect Revenue Management Systems
Job Description
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. Skilled at working across multiple teams, including business stakeholders, developers, QA, and operations, to deliver integrated solutions. Innovation & Continuous Learning: Innovative mindset with a drive to challenge the status quo, ask insightful questions, and propose bold ideas. Agility to quickly learn and apply new tools, technologies, and processes. Experience with compliance frameworks (e.g., SOX), audit processes, and maintaining comprehensive technical documentation. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. 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. Experience with DevOps practices and CI/CD pipelines. Ability to translate business needs into technical solutions that drive user adoption and deliver exceptional user experiences. Proven experience in technical leadership, mentoring, team management, and fostering a culture of excellence and accountability. Revenue Management Systems: Strong understanding of Model N US Revenue Management modules (e.g., Chargebacks, Managed Care, Government Pricing, Medicaid, Commercial Rebates) and their integration with ERP (SAP, Oracle), CRM, and EDI systems. Systems Integration & Data Migration: Extensive experience with systems integration, interface design, data migration, and middleware solutions. Troubleshooting & Automation: Skilled in root cause analysis, troubleshooting complex issues, and implementing process automation to improve efficiency and reliability. Communication & Stakeholder Management: Excellent verbal and written communication skills, with the ability to bridge technical and business discussions and present complex concepts to diverse audiences. 10+ years of relevant industry experience 5+ years of experience in data and solutions architecture Bachelor's or master's degree in computer science, Information Systems, Engineering, or a related field. Relevant certifications (e.g., AWS/Azure Solutions Architect, TOGAF, PMP, Certified ScrumMaster) are a plus.
Key Responsibilities
- 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
- Work across multiple teams, including business stakeholders, developers, QA, and operations, to deliver integrated solutions
Required Qualifications
- Bachelor's or master's degree in Computer Science, Information Systems, Engineering, or a related field
- 0+ years of relevant industry experience
- + years of experience in data and solutions architecture
Preferred Qualifications
- Relevant certifications (e.g., AWS/Azure Solutions Architect, TOGAF, PMP, Certified ScrumMaster)
Skills Required
- Deep experience designing, implementing, and governing enterprise-scale IT architecture, including infrastructure, application, and cloud environments
- 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
- Advanced proficiency in cloud technologies (AWS, Azure, GCP), including cloud-native architecture, migration strategies, security, and cost optimization
- 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
- Experience with DevOps practices and CI/CD pipelines
- Ability to translate business needs into technical solutions that drive user adoption and deliver exceptional user experiences
- Proven experience in technical leadership, mentoring, team management, and fostering a culture of excellence and accountability
- Strong understanding of Model N US Revenue Management modules (e.g., Chargebacks, Managed Care, Government Pricing, Medicaid, Commercial Rebates) and their integration with ERP (SAP, Oracle), CRM, and EDI systems
- Extensive experience with systems integration, interface design, data migration, and middleware solutions
- Skilled in root cause analysis, troubleshooting complex issues, and implementing process automation to improve efficiency and reliability
- Excellent verbal and written communication skills, with the ability to bridge technical and business discussions and present complex concepts to diverse audiences
- Innovative mindset with a drive to challenge the status quo, ask insightful questions, and propose bold ideas
- Agility to quickly learn and apply new tools, technologies, and processes
- Experience with compliance frameworks (e.g., SOX), audit processes, and maintaining comprehensive technical documentation
Benefits & Perks
- Paid national holidays and optional holidays
- Global Shutdown Days between Christmas and New Year's holiday
- Up to 120 hours of paid vacation
- Up to two (2) paid days to volunteer
- Sick time off
- Summer hours flexibility
Locations
- Princeton NJ, United States
Salary
Estimated Salary Rangemedium confidence
180,000 - 250,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Deep experience designing, implementing, and governing enterprise-scale IT architecture, including infrastructure, application, and cloud environmentsintermediate
- Data modeling (conceptual, logical, and physical), Master Data Management (MDM) and Data Governance, Metadata management and data lineage, Data quality, security, and privacy best practicesintermediate
- Advanced proficiency in cloud technologies (AWS, Azure, GCP), including cloud-native architecture, migration strategies, security, and cost optimizationintermediate
- Expertise in software architecture, microservices, API design, and modern engineering practicesintermediate
- 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 practicesintermediate
- Experience with DevOps practices and CI/CD pipelinesintermediate
- Ability to translate business needs into technical solutions that drive user adoption and deliver exceptional user experiencesintermediate
- Proven experience in technical leadership, mentoring, team management, and fostering a culture of excellence and accountabilityintermediate
- Strong understanding of Model N US Revenue Management modules (e.g., Chargebacks, Managed Care, Government Pricing, Medicaid, Commercial Rebates) and their integration with ERP (SAP, Oracle), CRM, and EDI systemsintermediate
- Extensive experience with systems integration, interface design, data migration, and middleware solutionsintermediate
- Skilled in root cause analysis, troubleshooting complex issues, and implementing process automation to improve efficiency and reliabilityintermediate
- Excellent verbal and written communication skills, with the ability to bridge technical and business discussions and present complex concepts to diverse audiencesintermediate
- Innovative mindset with a drive to challenge the status quo, ask insightful questions, and propose bold ideasintermediate
- Agility to quickly learn and apply new tools, technologies, and processesintermediate
- Experience with compliance frameworks (e.g., SOX), audit processes, and maintaining comprehensive technical documentationintermediate
Required Qualifications
- Bachelor's or master's degree in Computer Science, Information Systems, Engineering, or a related field (experience)
- 0+ years of relevant industry experience (experience)
- + years of experience in data and solutions architecture (experience)
Preferred Qualifications
- Relevant certifications (e.g., AWS/Azure Solutions Architect, TOGAF, PMP, Certified ScrumMaster) (experience)
Responsibilities
- 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
- Work across multiple teams, including business stakeholders, developers, QA, and operations, to deliver integrated solutions
Benefits
- general: Paid national holidays and optional holidays
- general: Global Shutdown Days between Christmas and New Year's holiday
- general: Up to 120 hours of paid vacation
- general: Up to two (2) paid days to volunteer
- general: Sick time off
- general: Summer hours flexibility
Tags & Categories
Answer 10 quick questions to check your fit for Associate Director, Data and Solution Architect Revenue Management Systems @ Bristol-Myers Squibb.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs