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 .

QUALIFICATIONS/DEGREE/CERTIFICATION/LICENSURE

• BA/BS or higher required
• Computer Science, Physics, Math, Data Science, Pharmaceutical Science, or Engineering area of study preferred
• Minimum of 5 years of analytical engineering, data modeling or a similar role
• Proficiency with SQL
• Experience scripting (e.g. Python/R)
• Experience with version control (e.g. Git, SVN) and Agile development
• Proven analytical and problem-solving ability
• Expertise gathering requirements to understand business needs and define technical solutions
• Excellent communications and presentation skills. Ability to explain complex analyses and outcomes to both technical and non-technical stakeholders
• Hands-on experience with dbt a plus
• Familiarity with AI, ML, predictive modeling a plus
• Knowledge of data engineering tools (Airflow) and visualization tools (Tableau, Power BI, Looker)
• Familiarity with our toolkit desired: work information process tools (JIRA, Confluence, ServiceNow, MS suites); data-related tools (Oracle, Redshift, PostgreSQL, CDP Impala, Athena)
• Proven experience in guiding large, complex projects that involve collaborating with team members from various functions.

Why you should apply

• You will help patients in their fight against serious diseases
• You will be part of a company that encourages excellence and innovation, respects diversity, develops leaders and values its employees.
• You’ll get a competitive salary and a great benefits package including, but not only, an annual bonus, pension contribution, family health insurance, 27 days of annual leave , access to BMS Cruiserath on-site gym and life assurance

THE ROLE

Bristol Myers Squibb is looking to recruit a permanent Senior Manager, Analytical Engineer.
Our Team: The Global Product Development and Supply (GPS) Analytics & AI Enablement (A&AIE) team within Business Insights and Technology (BI&T) partners with the Bristol Myers Squibb GPS organization to support data models for all functions within GPS. The team focuses on creating and maintaining the core GPS data layer to enable data models to support answering key business questions that will drive prioritized business decisions using advanced analytics and data science. The GPS organization at Bristol Myers Squibb supports drug development from discovery through commercialization and distribution to patients. Their scope includes portfolio strategy, manufacturing and distribution, network strategy, brand analytics, drug substance, drug product, and analytical development for small molecules, biologics, and cell therapy assets.
Job Description: The Senior Manager of Analytics Engineering provides hands-on technical expertise to develop, deploy, and maintain both core data models and core data layer infrastructure. This role is ideal for someone who thrives on building robust, scalable, and well-documented data models and pipelines, while also enabling self-service analytics across the organization.
We are seeking a highly skilled Analytical Engineer to join our team. This role bridges the gap between data engineering and data analytics, focusing on transforming raw data into structured, business-ready datasets. The ideal candidate will be responsible for designing, developing, and implementing analytical workflows, ensuring that data is clean, well-modeled, and optimized for business intelligence and decision-making. This role requires strong technical expertise in data transformation, modeling, and pipeline optimization. Additionally, a successful candidate is an excellent communicator who can effectively explain complex technical information to a wide variety of stakeholders.

KEY RESPONSIBILITIES AND MAJOR DUTIES

• Collaborate with the business to gather requirements and deliver data-products to enable data-informed decision-making.
• As a member of the team, develop a centralized data-layer to deliver data-products at scale to the business.
• Use ELT framework to transform raw or semi-structured data into a contextualized data model, proposing architectural solutions to drive efficiency.
• Partner with AI and ML teams to deliver the data skeleton for AI-enabled internal tools.
• Work within dbt to deliver documented, tested, and DRY (don’t-repeat-yourself) code.
• Follow analytical lifecycle process and quality frameworks to deliver accurate data to internal consumers on-time.
• Focus on innovative solutions to increase speed-to-delivery and accelerate business decision-making.
• Independently gather business requirements, establish measurable outcomes, and create analytical product plan translating complexity for various stakeholders.