Description

Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.

The Director of Analytics & AI Enablement will lead a multi‑disciplinary team of data engineers, analytical engineers, decision intelligence and AI engineers, ML product owners, and analytics professionals to build, scale, and operationalize data‑driven and AI‑enabled capabilities that power Global Product Supply (GPS). The role places a strong emphasis on innovation, rapid solution incubation, and translating emerging digital and AI capabilities into scalable, adopted solutions.

This leader will own the vision, roadmap, and delivery of Analytics & AI Enablement products supporting supply chain, manufacturing, quality, planning, digital operations, and decision‑intelligence programs. The role requires a blend of technical depth, product thinking, operational rigor, and strong matrix leadership and influence across globally distributed teams..

Key Responsibilities

A. Strategy & Leadership

Define and drive the GPS Analytics & AI Enablement strategy in alignment with GPS BI&T objectives, enterprise AI governance, and transformation priorities (e.g., Digital First, AI Aimpoints).
Establish a multi‑year roadmap for AI, data foundations, analytics platforms, and predictive/agentic AI capabilities, with a focus on piloting, scaling, and operationalizing innovative digital solutions.
Influence and align senior stakeholders across GPS, BI&T, Quality, Supply Chain, Manufacturing IT, Enterprise Data, and Digital Innovation.
Serve as a thought leader on emerging AI/ML technologies, foundation models, agentic architectures, and data‑led operations, bringing forward practical innovations that demonstrably improve business outcomes.

B. Build & Scale Data and AI Products

Lead the design, development, and deployment of AI/ML models, pipelines, and decision‑intelligence products using modern tools and cloud ecosystems.
Drive operationalization of AI solutions at enterprise scale — ensuring MLOps, monitoring, versioning, validation, and lifecycle management.
Partner with product teams to embed AI into GPS workflows (e.g., deviations management, predictive quality, planning, digital workforces, performance intelligence) with demonstrated adoption and sustained value realization

C. Data Platforms & Engineering Excellence

Own data architecture strategy and ensure scalable, compliant, high‑quality data pipelines that power AI/analytics for GPS.
Establish strong interfaces with enterprise data governance teams and follow standards for data quality, lineage, metadata, master data, and ingestion
Accelerate adoption of modern data engineering practices across GPS BI&T.

D. AI Governance, Compliance & Responsible AI

Ensure adherence to BMS Responsible AI guidelines, AI risk assessment processes, and model monitoring frameworks.
Partner with Legal, Compliance, Cyber, and Enterprise AI Governance teams to ensure ethical and compliant AI deployment.

E. Talent, Culture & Capability Building

Build and lead a high‑performing Analytics & AI Enablement team in Hyderabad including a mix of direct reports and extended, dotted‑line delivery teams and partners, ensuring skills in data engineering, ML engineering, MLOps, decision intelligence, applied AI, and analytics.
Demonstrate strong people leadership through matrix management, coaching, and influence, including oversight of large, multi‑vendor or consulting teams supporting delivery
Empower and drive AI adoption within team to boost productivity increase, affect best-practices and encourage quality with simplification in collaboration processes.
Drive capability uplift in GPS on AI literacy, data fluency, and digital ways of working, aligned with Digital First skill frameworks
Provide coaching, career development, and succession planning across the Analytics & AI Enablement organization.

F. Stakeholder Engagement & Value Realization

Partner with global and site leaders across GPS, including Product Owners, Process SMEs, Digital Operations, Quality, and Manufacturing IT.
Measure and communicate value created (cycle‑time reduction, cost savings, decision velocity, quality uplift).
Drive and increase closer partnership and collaboration with role-counterparts in global teams ensuring alignment across development, governance and delivery practices
Ensure strong vendor, partner, and innovation ecosystem engagement where relevant.

Required Qualifications

12–18+ years of experience in Data Engineering, Data Science, ML Engineering, Analytics, or AI product delivery.
Demonstrated leadership in matrixed and global environments, including direct team leadership and/or significant dotted‑line or programmatic oversight of delivery teams.Strong expertise in:
- ML/AI architectures, MLOps, model lifecycle
- Cloud ecosystems (AWS/Azure preferred)
- Data architecture, ingestion, pipelines, governance
- AI productization and enterprise deployment
Experience with developing and driving delivery of AI projects, including architectural choices, best-practices with knowledge/context management (prompts, memory, graphs, vector stores, etc.), observability and tracing frameworks (Langsmith/Langfuse), prompt management and user-feedback incorporation towards co-development. Experience with leveraging high-performance computing (HPC) to solve problems including ML model development and fine-tuning open-weight LLMs is a plus.

Proven ability to derive business objectives, determine success metrics, and build user confidence in AI solutions with GPS functional leaders.
Experience working in regulated environments (GxP, GMP, validation), preferable within biopharma or manufacturing.
Proven ability to influence senior executives and deliver cross‑functional programs at scale.

Preferred Qualifications

Experience with agentic AI architectures, RAG, semantic layers, and enterprise LLM implementations.
Familiarity with Supply Chain, Manufacturing, Quality, or Clinical/Development data and analytics domains at BMS.
Master’s or PhD in Engineering, Computer Science, Data Science, or related technic

Leadership Behaviours

Strategic thinking and systems orientation
Learning agility and intellectual curiosity (core expectations for EG‑150 and leadership paths)
Bias for action and execution discipline
Ability to inspire, influence, and align diverse stakeholders
Passion for coaching, culture building, and talent development

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

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 these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. 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.

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 request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo -accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.

R1600292 : Director, Analytics & AI Enablement – PDS BI&T

Director, Analytics & AI Enablement – PDS BI&T

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