Senior Manager, CRM Engineering, Administration & Development - Field Enablement
Listed on 2026-09-12
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Software Development
AI Engineer (Applied/Software)
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: .
Position ResponsibilitiesDefine and lead the AI-powered Engineering & Development across the CRM capabilities — identifying and delivering AI-enabled solutions that create measurable business value, reduce manual effort, and elevate the intelligence of commercial field tools - embedded within Veeva CRM UIX layers.
Champion an AI-first engineering mindset — embedding AI coding assistants, LLM-augmented development workflows, and automated testing into day-to-day engineering practice to accelerate delivery and raise code quality.
Drive platform simplification and intelligent automation programs — rationalizing legacy configurations, eliminating high-effort manual workflows through AI-driven orchestration, and replacing complexity with elegant, automated, and scalable solutions.
Lead agentic AI experiments and enterprise pilots — designing AI agents that autonomously manage CRM workflows, enrich data, route actions, and surface intelligent field recommendations via CRM APIs and third-party data sources.
Establish AI governance and responsible AI frameworks within CRM engineering — ensuring all AI solutions comply with BMS AI policies, data privacy regulations, explainability standards, and validated
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