Manager Non-US Commercialization Decision Intelligence & KDA Solutions

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: careers.bms.com/working-with-us.

Roles and responsibilities:

Analytics Delivery & AI Enablement

• Oversee and manage the team to deliver AI-enabled analytical solutions
  within agreed timelines and budgets while ensuring adherence to analytical
  best practices and quality standards.
• Lead the development and application of advanced analytics, decision
  science, and AI/ML techniques to support Ex-US Commercialization across
  brand strategy, omnichannel engagement, and resource allocation
  Stakeholder Partnership & Strategic Support.
• Closely partner with Ex-US Commercial stakeholders, Global Analytics, OCx,
  Marketing, and BIT to understand business needs, scope analytical solutions,
  and design impactful deliverables.
• Act as a strategic thought partner, helping stakeholders frame decisions,
  interpret insights, and understand trade-offs and implications.
• Manage and prioritize competing business demands to ensure alignment with
  strategic objectives.

Omnichannel & Commercial Insights

• Lead analytics supporting omnichannel strategies across personal and non-
  personal promotion including field force, email, web, paid media, social, and
  third-party platforms.
• Oversee measurement frameworks for reach, engagement, quality
  engagement, effectiveness, and ROI.
• Guide experimental design, test-and-learn initiatives, and quasi-experimental
  approaches to assess campaign, content, and channel effectiveness.

Team Leadership & Capability Building

• Manage, mentor, and develop individual contributors, including goal setting,
  performance management, coaching, and career development.
  Foster a culture of innovation, connectivity, and meaningful work within the
  team.
• Lead workload planning and prioritization to ensure sustainable delivery and
  high team engagement.

Technical Oversight & Governance.

• Oversee all technical tasks performed by the analytics team, including
  dashboards, business rules, documentation, automated pipelines, and model
  governance.
• Coordinate with BIT and data engineering teams to ensure reliable, timely,
  and scalable data flows into downstream analytics and reporting solutions.
• Ensure analytical outputs are well-documented, reproducible, and compliant
  with governance standards.

Skills and competency:

• Excellent written and verbal communication skills with the ability to
  translate complex analytics into clear, actionable business insights.
• Strong project management and interpersonal skills, with the ability to
  lead diverse teams and manage multiple competing priorities.
• Strong analytical and creative problem-solving skills, with the ability to
  synthesize insights from disparate data sources.
• Deep understanding of advanced analytics, applied statistics, and
  AI/ML methodologies.
• Strong leadership skills with a proven ability to drive collaboration and
  deliver results in a dynamic, matrixed environment.
• Strategic mindset with a passion for AI-led innovation and continuous
  improvement.

Experience:

• BA/BS required; advanced degree preferred with special consideration for
  degrees in life/physical sciences, applied sciences (computer science,
  mathematics, data science), or engineering.
• 7+ years in pharmaceutical commercial analytics or advanced analytics, with
  the majority of this experience focused on driving MMx projects.
• Proven track record of personally building and delivering MMx models in the
  Non US market.
• Proven experience operationalizing LLMs for commercial use cases —
  knowledge retrieval, summarization, generative analytics, and automation of
  insight generation.
• Experience embedding AI analytics platforms into commercial workflows with
  enterprise-wide adoption.
• Extensive knowledge of pharmaceutical data — claims, APLD, specialty
  pharmacy, digital signals, and promotional data.
• Strong foundation in AI governance — risk management, security, privacy,
  model monitoring, and human-in-the-loop principles in regulated
  environments.
• Experience with cloud analytics platforms (Databricks, Snowflake, Spark),
  MLOps, and BI tools; solid understanding of HIPAA, GDPR/CCPA, and
  applicable regulatory standards.
• Mastery of programming and data science tools (Python, R), machine learning
  frameworks (scikit-learn, PyTorch), large-scale analytics environments,
  visualization platforms, and workflow automation.
• Familiarity with CRM (e.g., Veeva), omnichannel metrics, multi-touch
  attribution (MTA), and AI-driven next-best-action frameworks.
• Exposure to Non-US markets — including Europe, Asia, and Latin/South
  America — is a plus.

Technical Skills (Preferred)

• Hands-on experience with Python and/or R for data analysis, statistical
  modelling, and ML pipeline development.
• Proficiency in machine learning frameworks — scikit-learn, PyTorch — and
  large-scale model deployment.
• Experience with data visualization and reporting tools (R Shiny, Dash,
  Tableau, Power BI, or similar).
• Exposure to collaborative analytics environments (Databricks, Git,
  SharePoint, Domino, Snowflake).
• Experience with MLOps practices and workflow automation tooling.
• Understanding of LLM frameworks, prompt engineering, and RAG pipeline
  design for enterprise applications.

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

Supporting People with Disabilities

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.

R1600883 : Manager Non-US Commercialization Decision Intelligence & KDA Solutions