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Bristol Myers SquibbPosted 3 weeks ago

Manager, Commercial AI Product Owner

HybridHyderabad, Telangana, India

Full TimeEnterprise

Job Summary

Co-own the Agentic MMx and Always on Insights platforms by driving strategy, roadmap alignment, and stakeholder integration with BI&T and Data Science. Embed decision-science outputs into annual planning, CRM workflows, and omnichannel orchestration while monitoring model health, adoption, and SLAs. Design and deploy autonomous analytics agents using multi-agent frameworks to transition from descriptive to causal and predictive insights. Partner with commercial stakeholders to define KPIs, articulate ROI, and build training playbooks for sustained product usage. Oversee technical governance, data pipelines, and ethical AI controls to ensure compliance and operational efficiency across global teams.

Required Qualifications

  • Advanced degree (MS/PhD) preferred in Data Science, Statistics, Computer Science, Econometrics, or a related quantitative field; a BA/BS with strong relevant experience will be considered
  • 7+ years of hands-on experience in pharma commercial analytics or decision science, including experience developing and shipping production-grade AI led analytical solutions
  • Experience managing, mentoring, and developing analytics talent, and leading cross-functional pods in a global enterprise environment
  • Hands-on experience building and scaling agentic AI solutions (multi-agent systems, LLMs, RAG, semantic layers, real-time architectures)
  • Experience embedding AI analytics platforms into commercial workflows with enterprise-wide adoption
  • Extensive knowledge of pharmaceutical data (claims, APLD, specialty pharmacy, digital signals, promotional data)
  • Product management/product owner (PM/PO) certification (e.g., CSPO, SAFe PO/PM, Pragmatic Institute) a plus
  • Outstanding stakeholder engagement and communication skills—capable of translating complex analytics concepts into actionable business strategies
  • Strong project management and interpersonal skills, with the ability to lead diverse teams and manage multiple competing priorities
  • Strong analytical and creative problem-solving skills, with the ability to synthesize insights from disparate data sources
  • Strategic mindset with a passion for hands-on, AI-led innovation and continuous improvement
  • Expertise of programming and data science tools (Python, R), machine learning frameworks (scikit-learn, PyTorch), large-scale analytics environments, visualization platforms, and workflow automation
  • Proficiency with causal inference and incrementality tools (geo-experiments, matched markets, synthetic controls, uplift modeling); expertise in Bayesian/hierarchical MMx, adstock/distributed lag, and saturation/response-curve modeling, and operationalizing these in automated pipelines and platforms
  • Deep proficiency in enabling agent collaboration, negotiation, and task orchestration, including coordination of agent roles/functions within a commercial analytics or decision-science context
  • Experience operationalizing LLMs for commercial use cases—knowledge retrieval, summarization, generative analytics, and automation of insight generation
  • Experience with cloud analytics platforms (Databricks, Snowflake, Spark), MLOps, and BI tools
  • Strong foundation in AI governance (risk management, security, privacy, model monitoring, human-in-the-loop) in regulated environments; understanding of HIPAA, GDPR/CCPA and regulatory standards
  • Familiarity with CRM (e.g., Veeva), omnichannel metrics, multi-touch attribution (MTA), and AI-driven next-best-action frameworks
  • Site-essential roles require 100% of shifts onsite at your assigned facility
  • Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility
  • For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function

Desired Qualifications

  • Product management/product owner (PM/PO) certification (e.g., CSPO, SAFe PO/PM, Pragmatic Institute) a plus

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