Senior Manager Data Platforms

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.

     

JOB DESCRIPTION:

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to:

• Career development with an international company where you can grow the career you dream of.

• Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year

• An excellent retirement savings plan with high employer contribution

• Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.

• A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.

• A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity

Abbott's Data Science & Engineering organization accelerates data-driven solutions and creates business value across the organization related to Artificial Intelligence (AI), Digital Analytics, and Big Data. We use state-of-the-art technologies, build cutting-edge algorithms that solve complex health challenges, and develop reliable, cost-effective tools. This is a technical role where the candidate is expected to be a key contributor in building compelling data products and participating in the development and deployment of system and software architecture critical to data initiatives.  Supporting data platforms and products post-launch are main responsibilities of the role, in addition to facilitating continuous integration and delivery of data products using the cutting-edge development operations (DevOps) tools and technology.  The candidate will be responsible for system designs, portfolio management, operations, and execution of data and analytical solution delivery to support Abbott's mission. 

WHAT YOU’LL DO

Primary Function

• Provide technical leadership and oversight in data and analytical solutions development as related to deployment, operations, and AI infrastructure.

• Develop strategies and roadmaps for defining and maintaining the development and deployment infrastructure for various cloud and AI applications.

• Lead a team focused on system excellence, root cause analysis, and insights to solve cutting-edge opportunities including troubleshooting of build and deployment related issues.

• Plan on continuous improvement of DevOps processes, tools and technologies in addition to  creating and maintaining documentation for data platform processes, tools, and usage.

• Collaborate with cross-functional teams to define and execute data governance and security policies, in addition to managing resources and timelines for DevOps and data platform projects.

Core Job Responsibilities

Strategic Oversight

• Collaborate with technology leaders, business partners and peer groups regarding long and short-range data infrastructure and DevOps support.

• Recommend and drive innovative solutions as it pertains to data systems and infrastructure which anticipates the future direction of the business, its drivers and solution strategy.

• Support the globalization of AI and GenAI capabilities for the organization as it pertains to reliability, monitoring, observability, and compliance with internal policies and procedures.

Technology Delivery Oversight

• Work closely with business function partners to support data solutions design, development and commercialization of informatics products in compliance with internal policies and procedures.

• Lead architecture team to develop reliable information management solutions using AWS and/or Azure services such as Cloud compute, Data Pipeline, File storage & Database Services.