Director, Enterprise Architect, Patient Services Platforms

Director, Enterprise ArchitectUse Your Power for PurposeThe Director, Enterprise Architect is a technical leader within Pfizer's U.S. Patient Support Services (PSS) organization. Enterprise architect is accountable for developing and maintaining a scalable technology architecture, core platform data model and align with enterprise teams on integration approach to reduce overall technical and process debt. Enterprise architect will partner with business engagement team and delivery team to provide direction and approval for solution design, build estimation model and provide technical oversight to delivery teams.What You Will AchieveEnterprise Architecture and StandardsOwn the technical architecture, data model and enterprise alignment for patient services process, including patient and HCP enrollment, benefits verification and re-verification, prior authorization and appeals support, copay and patient assistance programs, free goods and bridge programs, specialty pharmacy triage, adherence and education programs, and case managementProduce and maintain current-state and target-state architecture, develop architecture guidelines and design principles for the development team.Own and maintain the business and technical data dictionary for patient services and partner with insights team ensure enterprise alignment on reporting.Use process mining and operational data to identify technology / AI process improvement opportunities to enhance business outcomes.Ensure right balance between enterprise capability and disease areas specific requirements, to ensure scalable platform capabilities.Integration and DataOwn and maintain integration patterns across Salesforce and patient services ecosystems, data platforms, Hub solutions and 3rd party integrationsEnsure alignment with enterprise data platforms, integration patterns, Salesforce strategyWork closely with Enterprise salesforce team to build scalable capabilities for patient services field teams that can increase access of therapies to patients.Ensure architectures meet SOX, GxP, privacy, and security requirementsDefine patterns for observability, audibility, and controls in AI systemsPartner with CISO, Legal, Privacy, and Quality to embed compliance by designGovernanceLead structured impact assessments for proposed process, platform, and vendor changes — covering downstream systems, data, integrations, reporting, controls, hub and vendor operations, field teams, and the patient experienceMaintain traceability from Enterprise capability to process to system to control, so the blast radius of any change can be established quickly and evidencedArchitect patient and HCP experiences on AI lead front technologies to reduce time to refill and enable field forces efficiencies.Set standards for grounding, prompt and agent versioning, conversation logging, evaluation, and audit evidence for AI in a regulated patient-facing contextGovern org strategy, data model extension, declarative vs. programmatic build, technical debt, and release and environment management across the patient servicesHere Is What You Need (Minimum Requirements)Applicant must have a bachelor's degree with at least 8 years of experience; OR a master's degree with at least 7 years of experience; OR a PhD with 5+ years of experienceRequired progressive experience in Enterprise architecture with focus on patient services Life Sciences domainDeep expertise in modern technology platforms including Salesforce, cloud ecosystems, DevOps, Agile methodologies, and AI.Very good understanding of commercialization process in bio-pharma domainProven experience in change management, user adoption and process harmonizationStrong program/project management and SDLC experience.Bonus Points If You Have (Preferred Requirements)Deep expertise in enterprise architecture, solution design, and distributed systemsStrong experience with CRM and commercial platforms (Salesforce, Veeva)Proven ability to design complex integrations and data architectures at scaleHands-on experience with cloud and data warehouse platforms (AWS, Azure, Snowflake, etc...) and modern data stacksExperience designing systems incorporating AI/ML and LLM-based capabilitiesStrong understanding of AI architectures (e.g. MCP)Expertise in security, compliance, and regulated environments (SOX, GxP)Ability to translate complex architecture into clear guidance for engineering teams Pfizer