Senior Manager Business Process Analyst, Commercial Data Platforms

In this role you will drive the design, implementation, and continuous improvement of Teva's Commercial Data Platforms, partnering with business and tech teams to deliver scalable, data-driven solutions that boost analytics, reporting, and master data management. You will translate complex business needs into actionable capabilities, enabling operational efficiency and actionable insights across multiple commercial domains. The position focuses on digital transformation, AI-enabled solutions, and governance within a regulated healthcare environment. You will work with cross-functional stakeholders to align with enterprise standards and drive measurable business outcomes.

• Comprehensive Health Insurance
• 401(k) with employer match
• PTO and holidays
• Life and Disability insurance
• Employee Assistance Program
• Tuition Assistance

• Partner with Commercial leaders, data stakeholders, and technology teams to understand priorities and objectives
• Lead requirements gathering, analysis, documentation, and validation for complex commercial initiatives
• Translate business needs into functional requirements, process flows, user stories, and solution designs
• Analyze current and future-state processes to identify simplification, standardization, and automation opportunities
• Collaborate with product owners, architects, developers, data engineers, and vendors to deliver compliant solutions
• Support scalable data solutions across customer, sales, claims, marketing, managed markets, patient services, and field engagement domains
• Support commercial data platforms, analytics, reporting, master data management, and system integration initiatives
• Identify and implement AI, automation, and digital transformation opportunities
• Define business use cases, success metrics, and implementation strategies for emerging tech
• Promote data quality, governance, and stewardship best practices
• Facilitate workshops and discovery sessions to gather requirements and align priorities
• Partner with stakeholders across Commercial Operations, Marketing, Market Access, Patient Services, Sales, Analytics, and IT
• Coordinate with vendors and implementation partners to ensure successful delivery
• Communicate project status, risks, and recommendations to leadership
• Support project execution using Agile, Waterfall, and Hybrid methodologies
• Maintain artifacts like requirements, process maps, impact assessments, and traceability
• Coordinate UAT, defect resolution, validation activities, and readiness reviews
• Support training, change management, adoption, and business readiness efforts
• Monitor solution performance and drive continuous improvement through metrics
• Ensure solutions comply with enterprise standards, data governance, privacy, and pharma regulations
• Maintain audit-ready documentation and end-to-end traceability for requirements and decisions

• Bachelor's degree in a related field (as stated)
• 5+ years in Business Analysis, Product Delivery, Process Improvement, Commercial Operations, Data Management, or related functions in pharma/healthcare
• Strong knowledge of commercial healthcare data domains (sales, claims, call activity, marketing, customer master, managed markets, specialty pharmacy, patient data)
• Experience supporting Sales, Marketing, Market Access, Patient Services, Commercial Analytics
• Hands-on experience with CRM platforms, analytics, reporting environments, customer engagement platforms, and enterprise tech ecosystems
• Proven experience delivering digital transformation, data integration, MDM, reporting, automation, and AI initiatives
• Strong understanding of SDLC, Agile/Waterfall/Hybrid delivery
• Ability to gather, prioritize, document, and manage complex requirements
• Excellent analytical, problem-solving, communication, stakeholder management, and collaboration skills
• Knowledge of pharmaceutical regulatory, privacy, legal, and compliance requirements

• stakeholder management
• communication
• cross-functional collaboration
• CRM platforms
• analytics and reporting environments
• master data management (MDM)