Sr. Manager, Product Analyst - Clinical Data Management

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:

The Senior Manager, Product Analyst, Clinical Data Management, Global Drug Development Information Technology (GDDIT), Data & Analytics team will be part of the product team committed to bridge the gap between technology and business needs within the Clinical Data Ecosystem (CDE) that primarily delivers technology strategy and solutions for clinical trial execution, data management and data review capabilities (e.g. Electronics Data Capture (EDC), Clinical Data Management Systems & Reporting, Clinical Metadata Management etc.) in support of Clinical Data Management (CDM) business functions.

The role is responsible for evaluating & analyzing business problems to address business challenges, improve operational efficiencies, help reduce cycle time by ensuring effective implementation of technology solutions, data and analytics capabilities. The Product Manger will work closely with global CDM stakeholders, including business users, software developers, project managers, and cross functional IT teams, to ensure successful strategy, planning, delivery, and operations of technology solutions that will bring value to BMS.

Key Responsibilities:

• Accountable for delivering strategy, planning, and high-quality technology solutions for Clinical Data Management portfolio.

• As a Product Analyst, he/she will be responsible for defining Clinical Data Management product strategy, roadmaps, identification of product scope, implementation planning, feature stories, value proposition and success criteria to implement technology solutions.

• Responsible for collaborating with a team of clinical data management stakeholders, technology data professionals including architect, engineers, UX designer, data scientist, product analysts, scrum master, validation analyst, software suppliers etc.

• Serves as a subject matter expert on Clinical Data Management solutions with domain knowledge.

• Analyze business challenges and identify areas for improvement through technology solutions. 

• Knowledge in evolving technology solution trends in Clinical Data Management platforms and product-based implementation.

• Provide guidance to the resources supporting projects, enhancements, and operations.

• Stay up to date with the latest technology trends and industry best practices. 

Qualifications & Experience:

• Master’s or bachelor’s degree in computer science, information technology, or related field preferred. 

• 6-8 years of hands-on experience working on implementing and operating in clinical data management capabilities and cutting-edge data solutions, in a cloud environment. 

• Functional knowledge or prior experience in Clinical Data Management domain and Lifesciences Research technology implementation & management such as Rave/ EDC, Clinical Data Management Systems, Clinical Data Repository etc.

• Familiarity with business process mapping, workflows and data analysis tools. 

• Excellent communication, collaboration and interpersonal skills to interact with diverse stakeholders. 

• Ability to work both independently and collaboratively in a team-oriented environment. 

• Comfortable working in a fast-paced environment with minimal oversight.

• Experience working in an Agile based environment.

• Hands-on development experience managing and delivering data solutions with AWS data, analytics, AI technologies such as AWS Glue, Redshift, RDS (PostgreSQL), S3, Athena, Lambda, Databricks, Business Intelligence and Visualization tools etc. is a plus.

• Experience in designing an