Manager, IT Business Analyst, Global Biometrics & Data Sciences

Key Skills

Aartificial intelligence, Agile methodologies, AWS, Big Data Technology, Business Analytics, Data Analytics, Data science techniques, Deep Learning, DevOps, Git, JIRA, Machine learning techniques, Natural Language Processing (NLP), Python Programming, R Programming

Job Description

IT Business Analyst will collaboratively partner with colleagues across various functions within Global Biometrics and Data Sciences to understand their information technology and digital enablement needs. This role will have responsibility for enhancing the quality of products and services, analyzing data to inform business decisions, and finding technological solutions aligning to business needs that drive value for the overall BMS (Bristol Myers Squibb) and GBDS IT strategy. IT Business Analysts will work across the matrix IT organization to drive portfolio execution from ideation to value realization.

Key Responsibilities

• Work in an Agile environment and continuously review the business needs, refine priorities, outline milestones and deliverables, and identify opportunities and risks.
• Prioritize and maintain the sprint backlog for assigned products, balancing the requirements of stakeholders.
• Develop strong collaborative relationships with IT colleagues across BMS Information Technology to ensure delivered solutions and services can be appropriately leveraged and value realized.
• Partner with the Lead Product Manager, Technical Lead, Business Lead, and other IT colleagues as part of a Product Team to review and assess demand requests, explore ideas and enhancements, and evaluate legal / regulatory requirements and ongoing business-driven change initiatives leading to value driven business cases and well-defined implementation plans.
• Create IT documentation artifacts in support of an agile technology implementation model, including but not limited to requirements specifications, process diagrams, user acceptance test plans, traceability matrices, and wireframes.
• Evaluate various technology options including new data science, analytical, computational and visualization software and provide recommendation
• Assist data scientists with choice of data sources, technology and tool selection
• Ensure all AI/ML solution development is in line with industry standards for data management and privacy compliance including collection, use, storage, access, retention, output, reporting and quality of data
• Assist data scientists in their needs with an understanding of advanced machine learning including neural networks, NLP and variety of classification and predictive algorithms

Qualifications & Experience

• Knowledge of business analysis techniques such as business and functional requirements gathering, process modeling, interviewing, user stories, prototyping, data flows, and root cause analysis
• Excellent communication and relationship building skills with the ability to interact and build trust across different levels of the organization.
• Hands on experience in one or more of the following:
• Good knowledge/experience in data science technologies (Python, R, building models, dashboard analytics, etc.)
• Machine/Deep Leaning – machine learning algorithms and platforms, neural network
• Language – Natural language Processing, classification etc.
• Experience in key AI platforms such as AWS sagemaker
• Knowledge of machine learning and deep learning framework e.g. Tensorflow
• Experience in working on enterprise software products leveraging AI/Machine Learning technology
• Experience in understanding data and information technology including Big Data trends
• Knowledge about DevOps environment & using industry standard tools like GIT, JIRA etc.
• Good influence and facilitation skills
• Knowledge about driving adoption of process changes
• Strong analytical skills
• Knowledge of application of innovative quantitative methods in drug development process
• Experience working as a business analyst/data scientist
• Knowledge about data modeling and business intelligence techniques
• Knowledge about Pharma industry (Global Drug Development or R&D or analysis & reporting or clinical or data management preferred.

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.