Manager, Data and AI Analytics

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it. Position Summary: The Manager, Data & AI Analytics is a hands-on individual contributor responsible for designing, building, and delivering scalable data and AI-driven analytics solutions supporting Global Patient Operations (GPO). 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. Key Responsibilities: Collaborate with cross-functional teams (SCLT, APH Ops, BI&T, Manufacturing, Supply Chain) to translate business needs into scalable data solutions 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 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 (no direct reports) Key Qualifications and Experience: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Analytics, or related field 8+ years of experience in data engineering or analytics engineering 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 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 We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway. Compensation Overview: Seattle - WA: $105,560 - $127,916
 The starting pay range(s) listed above is for full-time employees (FTE). You may also be eligible for additional discretionary incentive cash and stock opportunities. We determine starting pay thoughtfully – carefully considering the nature of the role, required skills, work location, schedule and the knowledge and experience you bring. Final compensation is guided by pay equity principles and applicable employment laws. Compensation programs are reviewed on an ongoing basis and may be adjusted over time to reflect evolving market factors, and individual, team or Company performance. Benefits: Subject to the terms and conditions of the applicable plans then in effect, you may be eligible to participate in our comprehensive benefit plans – including wellbeing support, retirement and financial protection benefits, and insurance offerings (medical, dental, vision, life and disability). U.S.-based exempt employees are eligible for Flexible Time Off (FTO), which provides paid time off without a set accrual limit, subject to manager approval, along with 11 paid company holidays each year. Non-exempt employees, RayzeBio employees, and employees located in Puerto Rico receive 160 hours of paid vacation annually for new hires (subject to manager approval), 11 paid company holidays, and 3 optional holidays. Depending on eligibility, employees may also have access to additional time-off benefits, including paid sick leave, up to two paid volunteer days per year, summer hours flexibility, and leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs. Eligible employees also enjoy an annual Global Shutdown between Christmas Day and New Year's Day. U.S.-based job seekers can explore full benefit offerings at https://careers.bms.com/benefits How We Work Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working. 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