Bristol Myers Squibb
Overview
Senior Manager, Analytical Engineer role at Bristol Myers Squibb. This posting references a permanent position within the Global Product Development and Supply (GPS) Analytics & AI Enablement (A&AIE) team under Business Insights and Technology (BI&T). Working with Us: Challenging. Meaningful. Life-changing. Bristol Myers Squibb describes a workplace with opportunities for growth across departments, emphasizing impact on patients and career development. The company notes a variety of benefits and a focus on balance and flexibility. The Role
Bristol Myers Squibb is looking to recruit a permanent
Senior Manager, Analytical Engineer . Our Team : The GPS Analytics & AI Enablement (A&AIE) team partners with the GPS organization to support data models and the core GPS data layer, enabling data-driven decisions across drug development, manufacturing, distribution, 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 core data models and data-layer infrastructure. The role focuses on building robust, scalable, and well-documented data models and pipelines, while enabling self-service analytics across the organization. The candidate will bridge data engineering and data analytics, transforming raw data into structured, business-ready datasets. Responsibilities include designing, developing, and implementing analytical workflows, ensuring data is clean, well-modeled, and optimized for business intelligence and decision-making. Strong technical expertise in data transformation, modeling, and pipeline optimization is required, along with the ability to communicate complex technical information to diverse stakeholders. Key Responsibilities
Collaborate with the business to gather requirements and deliver data-products to enable data-informed decision-making. 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. Qualifications
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: 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 involving cross-functional teams Compensation and Benefits
The posting includes compensation ranges and notes about benefits. Example ranges listed (for multiple locations) and references to eligibility for incentives, stock opportunities, and location-based variations. Benefits include medical, dental, vision, wellbeing programs, 401(k), disability and life insurance, paid time off, holidays, volunteer days, parental and caregiver benefits, tuition reimbursement, and recognition programs. Specific details are available on the company careers site. Additional Information
Uniquely Interesting Work, Life-changing Careers: Bristol Myers Squibb emphasizes transforming patients’ lives through science and fostering a culture of inclusion and integrity. On-site, hybrid, and remote work considerations are described, with location-based occupancy expectations. Other notes: Equal Employment Opportunity statements and accommodations are referenced, along with vaccination guidance and legal disclosures. For California residents, there are state-specific notices. Data privacy policies apply to application data.
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Senior Manager, Analytical Engineer role at Bristol Myers Squibb. This posting references a permanent position within the Global Product Development and Supply (GPS) Analytics & AI Enablement (A&AIE) team under Business Insights and Technology (BI&T). Working with Us: Challenging. Meaningful. Life-changing. Bristol Myers Squibb describes a workplace with opportunities for growth across departments, emphasizing impact on patients and career development. The company notes a variety of benefits and a focus on balance and flexibility. The Role
Bristol Myers Squibb is looking to recruit a permanent
Senior Manager, Analytical Engineer . Our Team : The GPS Analytics & AI Enablement (A&AIE) team partners with the GPS organization to support data models and the core GPS data layer, enabling data-driven decisions across drug development, manufacturing, distribution, 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 core data models and data-layer infrastructure. The role focuses on building robust, scalable, and well-documented data models and pipelines, while enabling self-service analytics across the organization. The candidate will bridge data engineering and data analytics, transforming raw data into structured, business-ready datasets. Responsibilities include designing, developing, and implementing analytical workflows, ensuring data is clean, well-modeled, and optimized for business intelligence and decision-making. Strong technical expertise in data transformation, modeling, and pipeline optimization is required, along with the ability to communicate complex technical information to diverse stakeholders. Key Responsibilities
Collaborate with the business to gather requirements and deliver data-products to enable data-informed decision-making. 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. Qualifications
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: 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 involving cross-functional teams Compensation and Benefits
The posting includes compensation ranges and notes about benefits. Example ranges listed (for multiple locations) and references to eligibility for incentives, stock opportunities, and location-based variations. Benefits include medical, dental, vision, wellbeing programs, 401(k), disability and life insurance, paid time off, holidays, volunteer days, parental and caregiver benefits, tuition reimbursement, and recognition programs. Specific details are available on the company careers site. Additional Information
Uniquely Interesting Work, Life-changing Careers: Bristol Myers Squibb emphasizes transforming patients’ lives through science and fostering a culture of inclusion and integrity. On-site, hybrid, and remote work considerations are described, with location-based occupancy expectations. Other notes: Equal Employment Opportunity statements and accommodations are referenced, along with vaccination guidance and legal disclosures. For California residents, there are state-specific notices. Data privacy policies apply to application data.
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