Senior Manager , Global Patient Ops Data and AI Analytics

Bristol Myers Squibb • Seattle, WA

2d • $147,080 - $178,221 • Hybrid

About The Position

The Senior Manager, Data & AI Analytics is a hands-on, key role responsible for driving the implementation of a strong data foundation that enables advanced analytics across Global Patient Operations (GPO). This role combines senior technical leadership with individual-contributor execution — designing, building, and delivering scalable data and AI-driven analytics solutions. This role plays a critical part in advancing the GPO Analytics Hub, enabling standardized, high-quality data models, cross-platform data integration, and AI/automation use cases to drive operational insights and decision-making across patient operations, manufacturing logistics, scheduling, supply chain, and workforce analytics.

Requirements

• Bachelor’s or master’s degree in computer science, Data Engineering, Analytics, or related field
• 10+ years of experience in data engineering or analytics engineering, with demonstrated leadership in building enterprise data foundations
• Strong hands-on expertise in SQL and Python, with experience in large-scale data environments
• Experience with Databricks, dbt, and cloud data platforms (AWS/Azure)
• Proven ability to design and optimize ETL pipelines, data models, and semantic layers
• Experience with Power BI and/or Tableau
• Strong understanding of AI/ML data workflows and integration requirements
• Experience in life sciences, pharmaceutical, or regulated environments
• Hands-on experience with GenAI, LLMs, or agent-based AI solutions
• Experience with Data Ops, CI/CD, and Git-based development workflows
• Familiarity with Domino Data Lab or similar platforms
• Knowledge of data governance, metadata, and lineage frameworks
• Strong hands-on technical expertise with end-to-end ownership
• Ability to translate business requirements into scalable data solutions
• Collaborative and proactive approach across cross-functional teams
• Strong problem-solving and system design skills
• Focus on data quality, consistency, and usability
• Ability to operate as a senior, hands-on driver of data foundation initiatives that unlock advanced analytics and AI capabilities

Responsibilities

• Collaborate with cross-functional teams including (SCLT, APH Ops, BI&T, Manufacturing, Supply Chain) to translate business needs into scalable data solutions
• Drive hands-on implementation of a strong, standardized data foundation to enable advanced analytics and AI use cases across GPO
• Design, develop, and maintain scalable ETL pipelines and data models using SQL, Python, dbt, and Databricks (Medallion architecture – bronze/silver/gold)
• Build and optimize complex SQL transformation pipelines integrating data from SAP, Oracle, Salesforce, AWS Athena, PostgreSQL, and other enterprise systems
• Develop and maintain curated datasets and semantic models supporting the GPO Analytics Hub and enterprise reporting
• Design and optimize Power BI and Tableau datasets/dashboards to enable consistent KPI reporting and executive analytics
• Partner with analytics and business teams to standardize KPIs, definitions, and data logic across GPO
• Enable and support AI/automation initiatives, including predictive analytics, Copilot, and agent-based solutions
• Develop data harmonization and reconciliation pipelines to unify cross-system operational data
• Build reusable frameworks for ETL orchestration, API integration, automated validation, and operational alerting
• Implement data governance, data quality checks, monitoring, and production-ready deployment strategies
• Optimize performance of large-scale datasets across PostgreSQL, Impala/Cloudera, and Athena environments
• Support platform migration initiatives (e.g., Tableau to Power BI) and enterprise data standardization efforts
• Lead requirements gathering, UAT coordination, stakeholder reviews, and production rollouts
• Maintain documentation, metadata mapping, and data lineage to support governance and transparency
• Provide technical leadership, code reviews, and best practices guidance across the analytics engineering function (no direct reports)

Benefits

• Health Coverage: 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 (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)
• 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
• Based on eligibility, additional time off for employees may include 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 and an annual Global Shutdown between Christmas and New Years Day.
• All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior