About The Position

We are seeking a Senior Manager, Full Stack engineer, to serve as a technical leader in an AI first, agile product environment supporting Global Regulatory Sciences (GRS) technologies. This role is accountable for the end-to-end build and run of AI-native technology assets supporting Global Regulatory Sciences, ensuring solutions are reliable, accessible, secure, compliant, and cost-effective. The Senior Manager designs, builds, and operates AI native products where large language models, agentic workflows, and data-driven intelligence are the default paradigm—not an addon. The role blends hands-on full-stack engineering, AI product thinking, and operational ownership, with responsibility for both delivery and long-term‑ sustainability of platforms in a regulated BioPharma environment. This position provides cross-product technical leadership without direct line management, influencing architecture, shared capabilities, vendor direction, and long-term technical strategy through expertise, collaboration, and hands-on contribution.

Requirements

  • 10+ years of software engineering experience; BioPharma / Life Sciences experience strongly preferred.
  • Bachelor’s degree in Computer Science, Software Engineering, Engineering, Life Sciences, or a related quantitative field; advanced degree preferred.
  • Proven track record delivering complex, production grade‑ solutions using structured SDLC and Agile product models in regulated environments.
  • Hands-on experience with developing software and applications that use Large Language Models (LLM) and hands on AI coding with tools such as Codex, Claude Code, OpenAI, etc.
  • Hands‑on experience building Generative and Agentic AI systems using frameworks such as LangChain, LlamaIndex, and enterprise LLM platforms (e.g., OpenAI, AWS Bedrock).
  • Strong proficiency in Python and React; familiarity with Java, TypeScript, and backend frameworks such as FastAPI.
  • Experience with AWS cloud services (Lambda, S3, DynamoDB, Bedrock, SageMaker) and event driven, microservices‑ based‑ architectures.
  • Knowledge of Github and source control version management.
  • Strong data engineering and analytics skills (SQL / NoSQL).
  • Experience working with vendor partners and offshore development models.
  • Strong technical judgment with the ability to link architecture decisions to business outcomes.
  • Excellent communication skills across engineering, product, business, and executive audiences.
  • Ability to execute multiple large initiatives concurrently in an Agile, product centric‑ model.
  • Collaborative, pragmatic, and comfortable operating in ambiguity and change.
  • Innovative mindset with the discipline to deliver reliable, compliant, enterprise ‑grade solutions.

Nice To Haves

  • Experience in Regulatory Affairs technologies such as Veeva RIM, Lorenz DocuBridge, Health Authorities Queries (HAQ), or Labeling preferred.

Responsibilities

  • AI Native‑ Product & Platform Ownership: Own the build, operation, and continuous improvement of AI native Regulatory applications and platforms, including bespoke solutions and AI-enabled SaaS. Ensure Regulatory technology assets are stable, secure, compliant, and operationally sound across their lifecycle. Remain sufficiently hands-on‑ to design, build, review, and troubleshoot critical components.
  • Technical Strategy, Architecture & Roadmap: Develop and maintain an AI-first‑ Regulatory technology roadmap, guiding build vs. buy decisions, model selection, and platform capabilities aligned to business outcomes. Define and enforce reference architectures, reusable patterns, and technical guardrails to ensure consistency and quality across products. Evaluate emerging technologies and delivery models (SaaS / PaaS / IaaS) and influence vendor roadmaps and negotiations to align with enterprise strategy.
  • Engineering Execution & Operations: Design, develop, and operate scalable, secure full stack solutions using Python, Java / Node.js, React, REST APIs, and modern cloud-native architectures. Design and operate Large Language Model LLM native and agentic systems as long-lived products, incorporating human‑ in‑ the-loop, monitoring, governance, and continuous improvement. Build and maintain ML and data pipelines for training, validation, deployment, monitoring, retraining, and rollback. Implement CI/CD practices and automate workflows across data ingestion, feature engineering, model versioning, and deployment. Diagnose and resolve complex technical issues, balancing short-term remediation with long-term‑ architectural strategy.
  • Product, Stakeholder & Vendor Partnership: Partner closely with IT Product Managers and GRS stakeholders to plan, prioritize, deliver, and support strategic digital capabilities. Translate business needs into well designed technical solutions that drive measurable impact in regulatory and operational workflows. Operate effectively in a highly matrixed organization, aligning stakeholders with differing priorities.
  • Financial & Operational Stewardship: Manage and optimize Total Cost of Ownership (build and run) for technology assets, understanding and influencing key cost drivers. Ensure solutions are cost efficient‑, scalable, and sustainable over time.

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.
  • Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.
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