Job Posting Title Manager, Data and AI Analytics

Bristol Myers SquibbSeattle, WA
$105,560 - $127,916Hybrid

About The Position

The Manager, Data & AI Analytics Engineering 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.

Requirements

  • 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

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)

Benefits

  • Medical, pharmacy, dental, and vision care
  • BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP)
  • 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
  • Survivor support
  • Flexible time off (unlimited, with manager approval)
  • 11 paid national holidays
  • 160 hours annual paid vacation for new hires with manager approval
  • 3 optional holidays
  • 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
  • Annual Global Shutdown between Christmas and New Years Day
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service