Senior Manager, Principal Solution Architect - Clinical Data Ecosystem

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.

Position Summary

At BMS, digital innovation and Information Technology are central to our vision of transforming patients’ lives through science. To accelerate our ability to serve patients around the world, we must unleash the power of technology.  We are committed to being at the forefront of transforming the way medicine is made and delivered by harnessing the power of computer and data science, artificial intelligence, and other technologies to promote scientific discovery, faster decision making, and enhanced patient care.

Principal Solution Architect – Clinical Data Ecosystem will develop solution architectures for Clinical Data Ecosystem Drug Development business processes utilizing and other related technologies to help enable BMS to deliver medicines to patients faster.  The incumbent will work closely with IT product teams including business stakeholders in Hyderabad and globally to analyze business and technology requirements and define, prototype, and scale automation solutions. As a Principal Solution Architect for Clinical Data Ecosystem IT based out of our BMS Hyderabad you are part of the Drug Development IT team that delivers, platform, data and analytics capabilities for GDD Global Biostatistics and Data Sciences, Clinical Data Management (Clinical Analytics, Site Selection, Feasibility, Real World Evidence). This position will require the incumbent to demonstrate effective teamwork, collaboration, and communication across IT and business stakeholders.

If you want an exciting and rewarding career that is meaningful, consider joining our diverse team!

Key Responsibilities

• Work with Drug Development teams to identify opportunities for automation and recommend the appropriate technology solutions that meet their requirements
• Develop and maintain architecture diagrams, technical specifications, and other documentation to ensure that technology solutions are scalable, secure, and maintainable
• Developing data architecture strategy: Working with stakeholders to define the overall strategy for the organization's data architecture. This includes defining data structures, metadata, data models, and data integration processes.
• Partner with data scientists to develop GenAI and LLM-powered applications (Chat with Data), leveraging techniques like AI Agents, Agentic architectures, RAG, fine-tuning, and vector embeddings to deliver high-quality data discovery & consumption features.
• Deep understanding of the GenAI Tech Stack, including its architecture, components, and capabilities.
• Develop and Maintain CI/CD workflows and tools for efficient code and infrastructure deployment.
• Defining data product strategy: Working with stakeholders to define the overall strategy for the organization's data products. This involves understanding business goals, identifying data sources, and determining the appropriate technology stack.
• Designing data products: Creating conceptual, logical, and physical data models for the organization's data products. This includes defining data structures, schema, and data processing pipelines. Designing data systems: Developing and implementing data systems that support the organization's business needs. This may involve working with various technologies, including data warehouses, data lakes, data marts, and data APIs.
• Data modeling: Developing logical and physical data models that reflect the organization's data needs. This includes defining data elements, data relationships, data flows, and data transformation rules.
• Data governance: Developing and implementing data governance policies and procedures to ensure that data is accurate, consistent, and secure. This includes defining data quality standards, data security protocols, and data privacy policies.
• Collaborating with stakeholders: Working closely with various stakeholders, including data scientists, software developers, business analysts, and project managers, to ensure that data is being used effectively and efficiently across the organization.
• Staying up-to-date with industry trends: Keeping up-to-date with the latest trends and advancements in data architecture and technology, and applying this knowledge to enhance the organization's data systems and processes.
• Optimize data storage and retrieval to ensure efficient performance and scalability
• Collaborate with data analysts and data scientists to understand their data needs and ensure that the data infrastructure supports their requirements
• Implement and maintain security protocols to protect sensitive data
• Closely partner with the Enterprise Data and Analytics Platform team, other functional data pods and Data Community lead to shape and adopt data and technology strategy.
• Serves as the Subject Matter Expert on GDD Data & Analytics Solutions and build domain knowledge of the GDD specific area
• Has End to End ownership mindset in driving initiatives through completion
• Comfortable working in a fast-paced environment with minimal oversight
• Mentors other team members effectively to unlock full potential
• Prior experience working in an Agile/Product based environment
• Provides strategic feedback to vendors on service delivery and balances workload with vendor teams

Qualifications & Experience

• 10-12 years of hands-on experience working on implementing, architecting and operating data capabilities and cutting-edge data solutions, preferably in a cloud environment.  Breadth of experience in technology capabilities that span the full life cycle of data management including data lakehouses, master/reference data management, data quality and analytics/AI ML is needed. 
• Bachelor’s degree in Computer Science, Information Technology, Life Sciences, or a related field. Advanced degree preferred.
• Take Accountability and Ownership delivering business outcomes within time and budgets.
• At least 7 years’ data engineering experience in designing and building complex data solutions
• Hands-on experience developing and delivering data, ETL solutions with some of the technologies like AWS data services (Glue, Redshift, Athena, lakeformation, etc.), BI is a plus
• Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements.
• In-depth expertise with data security, storage solutions, database virtualization and replication as well as other complex database/data technical tools and solutions.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Strong programming skills in languages such as Python, R, PySpark etc.
• Experience with SQL and database technologies such as MySQL, PostgreSQL etc.
• Experience with cloud-based data technologies such as AWS, Azure, or Google Cloud Platform
• Strong analytical and problem-solving skills
• Excellent communication and collaboration skills Functional knowledge in regulated environments or prior experience in Lifesciences Research and Development domain is a plus
• Experience and expertise in establishing agile and product-oriented teams that work effectively with teams in US and other global BMS site.  
• Initiates challenging opportunities that build strong capabilities for self and team
• Demonstrates a focus on improving processes, structures, and knowledge within the team. Leads in analyzing current states, deliver strong recommendations in understanding complexity in the environment, and the ability to execute to bring complex solutions to completion.

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.

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.

BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.

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/

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