Job Description

Career Category

Information Systems

Specialist IS Bus Sys Analyst

What you will do

Let’s do this. Let’s change the world. In this vital role, you will support the delivery of emerging commercial data and emerging AI/ML capabilities within the Commercial organization. We seek a technology leader with a passion for innovation and a collaborative working style that partners effectively with business and technology leaders. Are you interested in building a team that consistently delivers business value in an agile model using technologies such as AWS, Databricks, Airflow, and Tableau? Come join our team!

Roles & Responsibilities:

• Establish an effective engagement model to collaborate with the Commercial Data & Analytics (CD&A) team to help realize business value through the application of commercial data and emerging AI/ML technologies.
• Support technology product owner for the launch and growth of the product teams focused on data connectivity, predictive modeling, and fast-cycle value delivery for commercial teams.
• Mentor junior team members to deliver on the needs of the business
• Interact with business clients and technology management to create technology roadmaps, build cases, and drive DevOps to achieve the roadmaps.
• Help to mature Agile operating principles through deployment of creative and consistent practices for user story development, robust testing and quality oversight, and focus on user experience.
• Become the subject matter expert in emerging technology capabilities by researching and implementing new tools and features, internal and external methodologies.
• Build expertise and domain expertise in a wide variety of Commercial data domains.
• Provide input for governance discussions and help prepare materials to support executive alignment on technology strategy and investment.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications:

• Bachelor’s / Master’s degree with 8 - 13 years of experience in Information Systems experience.

Must-Have Skills

• Excellent problem-solving skills and a passion for tackling complex challenges in data and analytics with technology
• Experience leading data and analytics teams in a Scaled Agile Framework (SAFe)
• Excellent interpersonal skills, strong attention to detail, and ability to influence based on data and business value
• Ability to build compelling business cases with accurate cost and effort estimations
• Has experience with writing user requirements and acceptance criteria in agile project management systems such as Jira
• Ability to explain sophisticated technical concepts to non-technical clients
• Strong understanding of sales and incentive compensation value streams

Preferred Qualifications:

• Jira Align & Confluence experience
• Experience of DevOps, Continuous Integration, and Continuous Delivery methodology
• Understanding of software systems strategy, governance, and infrastructure
• Experience in managing product features for PI planning and developing product roadmaps and user journeys
• Familiarity with low-code, no-code test automation software
• Technical thought leadership

Soft Skills:

• Able to work effectively across multiple geographies (primarily India, Portugal, and the United States) under minimal supervision
• Demonstrated proficiency in written and verbal communication in English language
• Skilled in providing oversight and mentoring team members. Demonstrated ability in effectively delegating work
• Intellectual curiosity and the ability to question partners across functions
• Ability to prioritize successfully based on business value
• High degree of initiative and self-motivation
• Ability to manage multiple priorities successfully across virtual teams
• Team-oriented, with a focus on achieving team goals
• Strong presentation and public speaking skills

Technical Skills:

• ETL tools: Experience in ETL tools such as Databricks
• Redshift or equivalent cloud-based DB
• Big Data, Analytics, Reporting, Data Lake, and Data Integration technologies
• S3 or equivalent storage system
• AWS (similar cloud-based platforms)
• BI Tools (Tableau and Power BI preferred)