Sr Manager, Data Engineering

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 122000 colleagues serve people in more than 160 countries.

Working at Abbott
At Abbott you can do work that matters grow and learn care for yourself and your family be your true self and live a full life. Youll 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 a high employer contribution.
• Tuition reimbursement the Freedom 2 Save student debt program and FreeU education benefit an affordable and convenient path to earning a bachelors degree.
• A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.
• A company recognized as one of the best big companies to work for as well as one of the best workplaces for diversity working mothers female executives and scientists.

The Opportunity:
This position works out of our Madison Wisconsin location in Abbott Cancer Diagnostics with remote eligibility in approved states.

Abbott Cancer Diagnostics division:

As the Senior Manager Data Engineering youll lead the data engineering organization for an assigned business domain and own its strategy integrated roadmap delivery stakeholder alignment technical governance and operating performance. You will partner with business and technology leaders to deliver governed reusable data products and integrations that support operational applications analytics semantic layers machine learning and AI.

What Youll Work On

• Lead develop and retain a domain data engineering organization including Staff Engineers and contractor resources with clear goals decision rights performance expectations development plans and succession strategies.
• Own the domain data engineering strategy priorities integrated roadmap delivery commitments stakeholder outcomes and operating performance from planning through production support.
• Ensure timely resolution of material technical decisions and own priority delivery and technical-debt tradeoffs while enabling Staff Engineers to lead domain technical design and Principal Engineers to provide cross-domain standards and guidance.
• Ensure domain data products and integrations align with shared enterprise platform capabilities and meet expectations for data quality reliability security privacy observability governance access and lifecycle management.
• Build transparent relationships with senior business and technology leaders communicate roadmap status dependencies risks decisions and tradeoffs and represent the domain in platform architecture and technology-governance decisions.

Required Qualifications

• Bachelors degree in Computer Science Information Systems Business or a related field or a high school diploma or General Education Diploma and four years of relevant experience in lieu of a bachelors degree.
• Eight or more years of progressively responsible experience in data engineering data platforms technology delivery or related leadership roles.
• Five or more years of direct people-leadership experience including management of engineering staff.
• Demonstrated experience owning delivery stakeholder outcomes and operating performance for a data domain platform or program from planning through production support.
• Demonstrated technical depth sufficient to direct and evaluate data engineering work and make priority delivery and technical-debt tradeoffs involving data architecture integration patterns data models and platform decisions.
• Demonstrated ability to lead delivery across direct reports contractors and dependent or matrixed teams including change contractor risk and dependency management.
• Experience operating in a regulated or highly controlled data environment and delivering stakeholder outcomes at the required quality and on schedule.
• Authorization to work in the United States without sponsorship.

Preferred Qualifications

• Experience with modern data platforms such as Databricks event-streaming architectures such as Kafka and cloud data services in AWS Azure or Google Cloud Platform.
• Experience delivering governed data products and semantic capabilities that support analytics machine learning and AI use cases across commercial financial laboratory clinical operational or customer-facing functions.
• Five or more years of experience in a regulated environment governed by standards or regulations such as SOX HIPAA CLIA Good Clinical Practice FDA ISO 13485 or IEC 62304.
• Experience in life sciences diagnostics healthcare or clinical-laboratory environments.
• Experience leading delivery through a combination of internal teams and contractor-based delivery models.
• Experience applying data privacy security access governance lineage retention and business-continuity practices.

The base pay for this position is

$129300.00 $258700.00

In specific locations the pay range may vary from the range posted.

Product Development

ONCO Cancer Diagnostics

United States > Madison : 1 Exact Lane

Standard

Yes 10 % of the Time

No

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day) Keyboard use (greater or equal to 50% of the workday)

Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.

EEO is the Law link - English: EEO is the Law link - Espanol: Experience:

Manager