Associate Director, Rewire Field Experience and Agentic AI Architect

At Bristol Myers Squibb, our employees often ask, "Who are you working for?" - a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

Position Summary:

The Associate Director, Rewire Field Experience & Agentic AI Architect owns the architecture for the core Rewire Field agentic experience - the connected pre-call, interaction, and post-call journey that brings together CRM, field intelligence, orchestration outputs, and AI agents into one coherent flow of work for field users.

The objective is not to create another dashboard or layer of disconnected widgets. The objective is to enable field users to understand what matters, why it matters, what action to take next, and to complete that action directly within their flow of work.

Working closely with Commercial, CASA, Data and Insights, Orchestration, CRM, Engineering, and UX, the architect will define the technical blueprint for the core agentic field experience, including how it integrates with Veeva Vault CRM and connects to adjacent capabilities such as coaching, role play, and performance tracking that are owned by partner teams. The architect will also engage Cybersecurity, Privacy, Legal, and Compliance to ensure the experience is built responsibly from the start.

The role owns IT Architecture for the core agentic experience concepts:

• AI Prep Agent
• Field Intelligence Dashboard
• AI Post-Call Agent
• HCP-Facing AI Agents

The role ensures clean integration - but not architectural ownership - with two adjacent capabilities owned by partner teams:

• Personalized Coaching Platform
• Real-Time Performance Tracker

The architect will ensure the core experience and its adjacent capabilities operate as components of one connected experience rather than as independent tools

1. Core Agentic Field Experience Architecture

• Define and maintain the end-to-end IT architecture for the core Rewire Field experience: the AI Prep Agent, Field Intelligence Dashboard, AI Post-Call Agent, and HCP-Facing AI Agents, spanning experience, application, integration, intelligence, data, and security layers.
• Design a connected experience that allows field users to move seamlessly from insight to understanding, recommendation, action, and feedback without repeatedly navigating between systems.
• Architect the integration of the AI Prep Agent, Field Intelligence Dashboard, and AI Post-Call Agent into one continuous pre-call, interaction, and post-call experience.
• Define integration patterns between Veeva Vault CRM, Databricks, data products, orchestration services, enterprise AI capabilities, and other field-facing platforms that support the core experience.
• Partner with the CRM migration team to ensure new Vault capabilities, objects, workflows, and data models support the future core experience rather than simply replicating current-state processes.
• Ensure the architecture supports the Rewire Field principles of a simpler, personalized, AI-enabled field experience that reduces administrative burden and strengthens customer engagement.

1. Agentic Experience and Consumer-Layer Architecture

• Define the IT architecture for the consumer layer of the core experience, including contextual reasoning, summaries, agent orchestration, workflow execution, user interactions, and feedback loops.
• Establish the technical patterns required to turn insights and orchestration outputs into structured, explainable, and actionable field intelligence.
• Design AI briefs that summarize the customer situation, explain why an opportunity or risk matters, and make the recommended next action clear.
• Enable agentic workflows that allow field users to act directly, including preparing for an interaction, completing postcall activities, responding to recommendations, capturing feedback, and accessing relevant customer information.
• Define which capabilities should be delivered upstream by Always-On Insights and Orchestration and which require additional reasoning, agents, or workflow logic within the consumer layer.
• Ensure upstream outputs are granular and structured enough to support agents, workflows, summaries, and interactive experiences, rather than recreating broad widget-level outputs in a new interface.

1. Integration with Coaching, Role Play, and Performance Systems

• Define the integration points between the core agentic experience and the Personalized Coaching Platform and RealTime Performance Tracker, which are architected and owned by partner teams.
• Ensure customer context, interaction data, and field intelligence needed by coaching and performance systems are exposed through well-defined interfaces, without taking on ownership of those platforms' internal architecture.
• Partner with the owners of the coaching and performance platforms to confirm their APIs, data outputs, and auditability meet the needs of the core experience.
• Escalate any conflicting architectural approaches between the core experience and these adjacent platforms to architecture governance for resolution.

1. Architecture Standards and Technical Decisions

• Own architecture decisions, standards, and technical direction for the core agentic field experience, operating within the broader technology principles set by enterprise and commercial architecture governance.
• Lead technical evaluations and build-versus-buy recommendations for capabilities within the core experience's scope.
• Maintain architecture decision records, solution blueprints, and interface contracts for the core experience.
• Ensure technical decisions support scalability, modularity, and the ability to replace individual components without redesigning the full experience.
• Escalate cross-program or enterprise-wide architectural decisions that extend beyond the core experience to senior architecture leadership.

1. Security, Privacy, Compliance, and Responsible AI

• Embed cybersecurity, data privacy, legal, regulatory, and responsible AI requirements into the core experience architecture from the beginning.
• Define architecture controls for AI-generated content, dynamic summaries, customer information, and agent-initiated actions within the core experience.
• Ensure agentic workflows include appropriate human oversight, traceability, explainability, access controls, monitoring, and auditability.
• Partner with Privacy, Legal, Compliance, and Cybersecurity to define approval patterns for AI agents within the core experience.

1. Iterative Delivery, Field Co-Creation, and Value Measurement

• Translate the core experience architecture into incremental releases that can be piloted, measured, improved, and scaled.
• Work directly with engineering teams to convert experience concepts into buildable technical components, APIs, user stories, and delivery plans.
• Use prototypes, proofs of concept, and working software to validate architecture choices before broader deployment.
• Establish architecture feedback loops with field ambassadors and pilot users, and ensure that feedback informs intelligence logic, workflow design, and integration patterns, not just interface changes.
• Define architecture-level success measures for the core experience, connected to field adoption, administrative burden, workflow completion, and experience quality.
• Design the core experience with reuse in mind so it can extend to other markets over time, while regional and international teams own market-specific adaptation.

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field.
• Minimum 8 years of experience in enterprise solution architecture, commercial technology, AI architecture, digital product architecture, or field-facing technology.
• Experience designing connected enterprise experiences that span multiple applications, data sources, workflows, and user interfaces.
• Strong understanding of agentic AI, generative AI, contextual reasoning, AI orchestration, workflow automation, and human-in-the-loop design.
• Proven ability to translate business experience concepts into scalable technical architectures and executable delivery plans.
• Experience with CRM and commercial platforms, ideally including Veeva Vault CRM, Veeva Commercial Cloud, Salesforce, or comparable platforms.
• Strong knowledge of APIs, event-driven architecture, middleware, data products, master data, real-time integrations, identity, authorization, and workflow orchestration.
• Experience with cloud, data, and AI platforms such as Databricks, Azure, AWS, OpenAI, or equivalent enterprise technologies.
• Understanding of UX architecture and the technical requirements for delivering coherent experiences across embedded, native, web, and mobile interfaces.
• Experience working in pharmaceutical, biotechnology, medical device, or another highly regulated industry.
• Strong understanding of privacy, cybersecurity, responsible AI, compliance, and auditability requirements for enterprise AI solutions.
• Ability to communicate complex technical decisions clearly to commercial leaders, product owners, engineers, data scientists, enterprise architects, and vendors.

• Experience designing AI-enabled field, sales, medical, or customer engagement experiences.
• Experience with Veeva Vault CRM agents, commercial insights, call planning, post-call workflows, or related field capabilities.
• Experience integrating with adjacent learning, coaching, or performance-management platforms through APIs or data contracts.
• Familiarity with AI product evaluation, build-versus-buy decisions, vendor architecture assessments, and proof-of-concept delivery.
• Experience supporting or contributing to global deployments across the US, International markets, and Japan.
• Architecture or cloud certifications such as TOGAF, Azure, AWS, Databricks, Salesforce, Veeva, or relevant AI credentials.

We hire for skills and capabilities, not just credentials - if this role excites you, but doesn't perfectly match your resume, we encourage you to apply anyway.

Paid Time Off

• US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)

• Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays

Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.

All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.