Senior Manager, Artificial & Decision Intelligence

Bristol Myers Squibb•New Brunswick, NJ

4d•Hybrid

About The Position

Bristol Myers Squibb is seeking a Senior Manager, Artificial & Decision Intelligence to implement, design, develop, and operationalize advanced artificial intelligence (AI), generative AI (Gen AI), and decision intelligence capabilities to drive business decisions. This role involves implementing scalable AI solutions for complex pharmaceutical business challenges, developing and operationalizing new AI/Gen AI tools aligned with business objectives, and building AI agents for autonomous task handling and real-time insights. The position also focuses on developing and integrating AI-powered chatbots and virtual assistants, augmenting leadership decision-making with AI-powered insights for the Global Product Development & Supply (GPS) organization, and collaborating with cross-functional teams. Responsibilities include translating business requirements into technical specifications, conducting thorough testing and validation of AI models, developing standard AI frameworks, and establishing documentation. The role also involves architecting and managing data pipelines, catalogs, glossaries, and access policies to support enterprise-wide analytics, AI, and decision intelligence use cases. Up to 10% domestic travel may be required, and telecommuting is permitted up to 25% per week.

Requirements

Master’s degree or foreign equivalent in Computer Science, Information Systems, Computer Engineering, or a related field, and three (3) years of related work experience as a Data Scientist or related occupation.
Three (3) years of experience in the artificial intelligence, machine learning, data science, data integration, or data enablement domain.
Three (3) years of experience configuring cloud-based environments such as Azure, Google AI, or Amazon Web Services (AWS), including S3, Glue, Athena, Redshift, or equivalent cloud data lake platforms.
Three (3) years of experience developing AI frameworks using Python and SQL programming languages.
Three (3) years of experience applying Agile methodologies and using tools such as JIRA and Confluence to manage project workflows and sprints.
Three (3) years of experience reporting and visualizing data analytics using Tableau, Spotfire, Power BI, QlikSense, QuickSight, or MicroStrategy.
Three (3) years of experience performing data demand planning and portfolio management using platforms such as Cloudera Data Platform (CDP), Domino, or Snowflake.
Three (3) years of experience programming in Python for data analysis, automation, and statistical modeling.
Three (3) years of experience conducting data modeling, establishing data governance practices, and implementing data quality best practices.
Three (3) years of experience implementing AERA Decision Intelligence or similar AI-driven automation and decision-making platforms.
Three (3) years of experience building machine learning models for forecasting, classification, or prediction using Python, R, or similar tools.
Three (3) years of experience applying statistical techniques, including regression, time-series forecasting, hypothesis testing, and correlation analysis.
Three (3) years of experience designing data pipelines and ETL processes to integrate data from multiple enterprise sources.

Responsibilities

Implement, design, develop, and operationalize advanced artificial intelligence (AI), generative AI (Gen AI), and decision intelligence capabilities to drive business decisions.
Implement scalable AI solutions to address complex pharmaceutical business challenges.
Develop new AI/Gen AI tools aligned with business objectives and ensure they are operationalized effectively.
Build and optimize AI agents that can autonomously handle complex tasks, make decisions, and deliver insights in real-time.
Develop, integrate, and continuously improve AI-powered chatbots and virtual assistants to support employees across various teams.
Focus on augmenting the decision-making capabilities of leadership teams by providing AI-powered insights that inform strategic initiatives for the Global Product Development & Supply (GPS) organization.
Collaborate with cross-functional teams to translate business requirements into technical specifications and solutions.
Conduct thorough testing and validation of AI models to ensure accuracy and reliability.
Develop standard AI frameworks for streamlined deployment practices.
Establish and maintain consistent documentation of AI capabilities.
Architect and manage data pipelines, catalogs, glossaries, and access policies to support analytics, AI, and decision intelligence use cases across the enterprise.

Benefits

Annual discretionary bonus
Healthcare: Medical, pharmacy, dental, and vision care.
Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
Financial Well-being and Protection: 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.
Work-life benefits include: Paid Time Off US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays)
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
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
Annual Global Shutdown between Christmas and New Years Day