Manager, AI CRM Engineering - Field Enablement

Bristol Myers Squibb•Princeton, NJ

4d•Hybrid

About The Position

Bristol Myers Squibb is seeking a Manager, AI CRM Engineering - Field Enablement to engineer and lead AI-enabled CRM solutions. This role involves working with innovative LLM-based solutions, predictive analytics, and generative AI features embedded within Veeva CRM, MyInsights/X-Pages, and Vault environments. The position requires a strong understanding of AI/ML workflows, Generative AI capabilities, and the ability to lead the development of AI-powered dashboards and agentic AI experiments. The role also involves partnering with Data Science and Analytics teams, establishing AI governance, and evaluating emerging AI/ML tools. The Manager will provide technical leadership, enforce SDLC best practices, and collaborate with global delivery teams. Additionally, the role includes leading and mentoring CRM developers and administrators, communicating risks and issues, and identifying process improvement opportunities through AI-enhanced best practices.

Requirements

Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
5+ years of overall IT experience in software development, administration, and solution delivery.
5+ years of hands-on any CRM experience, including configuration, customization, UIX, controllers, workflows, security models, MyInsights/X-Pages, data loading, and integrations.
5+ years of hands-on SQL using relational Databases like Oracle, PostgreSQL.
2+ years of applied AI/ML development experience — including building, deploying, or integrating AI/ML models, LLMs, or intelligent automation solutions in enterprise environments.
4+ years of experience with SDLC methodologies (Agile/Waterfall), validated and regulated systems in life sciences, and cloud-native application development.
Demonstrated experience integrating AI/ML outputs into CRM or enterprise applications (e.g., Agentic Solutions).
1 + years of DataBricks — including participation in building, integrating, or testing using Databricks Lakehouse architecture including Databricks ETL.
2+ Years of Strong experience with Vectorization, Python, Prompt engineering, Langchain, Lang Graph, OpenAI Azure, Anthropic models and GCP model.
Strong experience with AWS, AWS API Gateway, AWS CI CD.
Strong analytical, problem-solving, written, and verbal communication skills with experience presenting to executive and cross-functional audiences.
3+ Years of experience on extract transform and load (ETL) tools like Informatica.
Strong experience in AWS based solutions using AWS API Gateway, AWS Glue, AWS API, Elastic Load balancer.
Experience in consuming/processing real time events from salesforce.com like platform events to build real time solutions.

Nice To Haves

Hands-on experience with LLM frameworks for enterprise AI application development.
Experience with LS applications (such as CRM, EM, Align, Vault, etc.) within the CRM ecosystem.
Proficiency in Python/SQL for AI/ML prototyping, data engineering, and CRM analytics.
Programming experience in Java, JavaScript, SDK-based development , or scripting languages for CRM extension and automation.
Experience deploying Generative AI and agentic AI solutions in a regulated or life sciences environment, with attention to validation, explainability, and compliance.
Background in predictive modeling or analytics for commercial pharma use cases — e.g., HCP targeting, call planning, market access, or field force optimization.
Experience with CI/CD pipelines and DevOps tooling (e.g., GitHub Actions, Azure DevOps, Jenkins) applied to CRM and AI development workflows.
Additional Veeva, Veeva Vault, or Salesforce CRM certifications.
Experience with agile tools such as Jira — backlog grooming, sprint planning, retrospectives, and stakeholder collaboration.
Prior experience in life sciences, pharmaceutical, or healthcare industry with knowledge of field commercial operations, medical affairs, or market access CRM workflows.

Responsibilities

Engineer and lead AI-enabled CRM solutions, including LLM-based solutions, predictive analytics, intelligent content surfacing, and generative AI features within Veeva CRM, MyInsights/X-Pages, and Vault environments.
Design and implement AI/ML workflows.
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 MyInsights/X-Pages and dynamic dashboards with embedded predictive KPIs and intelligent visual storytelling.
Drive agentic AI experiments and pilots that automate CRM workflows, data enrichment, and intelligent routing.
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.
Continuously evaluate emerging AI/ML tools, frameworks, and vendors.
Provide hands-on technical leadership across Veeva CRM / Vault CRM data loading, MyInsights/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.
Enforce SDLC best practices, architecture standards, and configuration management principles.
Lead code reviews, release planning, and deployment readiness assessments with an AI-first lens.
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.
Lead and mentor CRM developers and administrators across global delivery locations.
Clearly communicate risks, issues, and timeline impacts to both technical and non-technical audiences.
Evaluate business drivers and identify process improvement opportunities, recommending AI-enhanced best practices.

Benefits

Medical, pharmacy, dental, and vision care.
BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
Flexible time off (unlimited, with manager approval), 11 paid national holidays (US Exempt Employees).
160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays (Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees).
Unlimited paid sick time (based on eligibility).
Up to 2 paid volunteer days per year.
Summer hours flexibility.
Leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs.
Annual Global Shutdown between Christmas and New Years Day.