Manager, AI CRM Engineering – Field Enablement
Listed on 2026-09-08
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IT/Tech
AI Engineer (Applied/Software), CRM Systems & Management
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:
Responsibilities- Engineer and lead AI-enabled CRM solutions - including innovative LLM-based solutions, predictive analytics, intelligent content surfacing, and generative AI features embedded within Veeva CRM, My Insights/X-Pages, and Vault environments using various models and BMS datasets.
- Design and implement AI/ML workflows integrated with CRM data pipelines, call planning optimization, sentiment analysis, and rep coaching tools powered by structured and unstructured CRM data.
- Evaluate, prototype, and scale Generative AI capabilities within the CRM ecosystem for use cases such as auto-generated call summaries, intelligent alerts, and AI-driven field insights.
- Lead the development of AI-powered My Insights/X-Pages and dynamic dashboards with embedded predictive KPIs and intelligent visual storytelling for field reps and managers.
- Drive agentic AI experiments and pilots that automate CRM workflows, data enrichment, and intelligent routing using AI agents integrated with CRM APIs and third-party data sources.
- Partner with Data Science and Analytics teams to consume, operationalize, and expose ML model outputs within CRM UI layers and downstream reporting tools.
- Establish and champion AI governance and responsible AI practices within the CRM engineering space - ensuring compliance with BMS AI usage policies, data privacy regulations, and validated systems standards.
- Continuously evaluate emerging AI/ML tools, frameworks, and vendors for best‑fit within the BMS CRM ecosystem.
- Provide hands‑on technical leadership across Veeva CRM / Vault CRM data loading, My Insights/X-Pages and other integrations.
- Lead architecture, design, build, testing, deployment, and issue resolution for complex CRM and AI‑integrated business requirements.
- Build and promote reusable, AI‑augmented code libraries, design patterns, and frameworks to support global harmonization, scalability, and future extensibility.
- Enforce SDLC best practices, architecture standards, and configuration management principles - including CI/CD pipelines, validated systems compliance, and regulated environment protocols specific to life sciences.
- Lead code reviews, release planning, and deployment readiness assessments with an AI‑first lens, ensuring all solutions are robust, scalable, and compliant.
- Identify configuration interdependencies, risks, and change impacts across CRM domains and AI‑integrated workflows.
- Serve as the primary engineering point of contact for CRM AI initiatives, collaborating across US, nearshore, and global delivery teams, including IT Architecture Leads, Capability Leads, IT Business Partners, and Enterprise Architecture platform teams.
- Lead and mentor CRM developers and administrators across global delivery locations — onboarding new team members, accelerating productivity, and building AI competency within the team.
- Clearly communicate risks, issues, and timeline impacts to both technical and non‑technical audiences, with practical mitigation and contingency plans.
- Evaluate business drivers and identify process improvement opportunities
, recommending AI‑enhanced best practices to streamline and harmonize CRM processes globally.
Required:
- Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
- 5+ years of overall IT…
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