Sr. Specialist, CRM Engineering

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 Responsibilities

• ✓Develop and integrate AI-enabled features within the Veeva CRM/Vault CRM ecosystem — including LLM-based solutions using industry standard models like Claude accessed directly or via AWS Bedrock under the direction of the engineering manager.
• ✓Support the implementation of AI/ML workflows and data intergations connected to CRM data pipelines, including next-best-action (NBA) model outputs, call planning tools, and sentiment analysis features for field rep workflows.
• ✓Assist in prototyping and evaluating Generative AI capabilities (e.g., auto-generated call summaries, intelligent alerts, AI-driven field notifications) within Veeva CRM and MyInsights/X-Pages environments.
• ✓Build and maintain AI-powered outputs for MyInsights/X-Pages and dynamic dashboards featuring embedded predictive KPIs and intelligent visual elements for field representatives and their managers.
• ✓Participate in agentic AI experiments and pilots, contributing to the development of AI agents that automate CRM workflows, data enrichment, and intelligent routing via CRM APIs and third-party integrations.
• ✓Consume and surface ML model outputs within CRM UI layers and downstream reporting tools, working in coordination with the Data Science and Analytics teams.
• ✓Follow and apply AI governance and responsible AI practices defined by the team — adhering to BMS AI usage policies, data privacy standards, and validated systems requirements.
• ✓Research and evaluate emerging AI/ML tools and frameworks, contributing findings and recommendations to the broader CRM engineering team.
• ✓Perform hands-on CRM integrations within Veeva CRM / Vault CRM data loading, MyInsights/X-Pages and other integrations.
• ✓Participate across the full SDLC lifecycle — design, build, testing, deployment, and issue resolution — for CRM and AI-integrated business requirements.
• ✓Contribute to the development of reusable code components, libraries, and design patterns that support team productivity, global harmonization, and long-term scalability.
• ✓Apply SDLC best practices, CICD pipelines, and configuration management principles under the guidance of the manager and senior technical leads.
• ✓Participate in code reviews, release planning activities, and deployment readiness checks, incorporating an AI-first perspective.
• ✓Identify and document configuration dependencies, risks, and change impacts related to CRM and AI-integrated workflows, flagging issues proactively to the manager.
• ✓Support enforcement of quality standards, testing documentation, and deployment checklists to ensure solutions are robust, validated, and compliant with life sciences regulations.
• ✓Collaborate actively with US, nearshore, and global team members — including developers, administrators, architecture leads, and IT business partners — to ensure timely and high-quality delivery.
• ✓Support onboarding activities and knowledge sharing within the team by maintaining solution documentation, knowledge base articles, SOPs, and configuration guides.
• ✓Assist in communicating technical progress, risks, and issues to the engineering manager with clear, concise, and timely updates.
• ✓Participate in agile ceremonies — sprint planning, backlog grooming, daily stand-ups, and retrospectives — contributing to team velocity and continuous improvement.
• ✓Work with cross-functional stakeholders (e.g., business partners, testing teams, vendors) to help ensure solutions are fully integrated, functionally validated, and end-to-end ready.
• ✓Support business stakeholder demos and solution walkthroughs, helping to clearly articulate the technical capabilities and value of CRM AI features.
• ✓Actively seek feedback and coaching from the manager and senior peers to grow technical depth in both CRM engineering and applied AI development.

Requirements

Required

• ✓Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
• ✓5+ years of overall IT experience in software development, administration, or solution delivery.
• ✓2+ years of hands-on CRM experience — including configuration, customization, UIX, workflows, security models, data loading, or integrations within platforms such as Veeva CRM, Salesforce, or equivalent.
• ✓1.5+ years of applied AI/ML exposure — including participation in building, integrating, or testing AI/ML models, LLMs, or intelligent automation features in enterprise or academic environments.
• ✓DataBricks Experience — including participation in building, integrating, or testing using Databricks Lakehouse architecture including Databricks ETL.
• ✓3+ years of experience with SDLC methodologies (Agile and/or Waterfall), including participation in validated or regulated system delivery in a structured team environment.
• ✓Demonstrated experience contributing to AI/ML or analytics integrations within enterprise applications (e.g., dashboards, predictive features, NLP tools).
• ✓At least 1 active Technical Certification (CRM, AWS, Industry Standard AI Certifications like Anthropic, DataBricks or equivalent).
• ✓Strong analytical and problem-solving skills, with effective written and verbal communication abilities suited to a global, collaborative work environment.
• ✓Strong experience with Vectorization, Python, Prompt engineering, Langchain, Lang Graph, OpenAI Azure, Anthropic Claude 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.

Additionally Preferred

• ✓Exposure to LLM frameworks for enterprise AI application development.
• ✓Familiarity with Life Sciences CRM applications such as Veeva/Vault CRM, Veeva Vault, Veeva Align, Veeva Engage, or Salesforce Life Sciences Cloud.
• ✓Working knowledge of Python and/or SQL for AI/ML prototyping, data manipulation, and CRM analytics tasks.
• ✓Experience with JavaScript, Java, SDK-based development, or scripting languages for CRM customization and automation.
• ✓Awareness of or participation in Generative AI or agentic AI projects in a regulated or life sciences environment, with understanding of validation and compliance considerations.
• ✓Exposure to commercial pharma analytics use cases — e.g., HCP targeting, call planning, field force optimization, or market access analytics.
• ✓Experience using CI/CD tools (e.g., GitHub Actions, Azure DevOps, Jenkins) in a development or deployment support capacity.
• ✓Familiarity with data integration patterns — REST APIs, event-driven architectures, or ETL/ELT pipelines — for connecting CRM platforms with AI services or data sources.
• ✓Experience with agile tools such as Jira — sprint participation, task tracking, and stakeholder updates.

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.

Compensation Overview

Princeton - NJ - US: $81,260 - $98,468