Delivery Manager

Posted:
8/21/2024, 11:15:04 AM

Location(s):
California, United States ⋅ Alameda, California, United States

Experience Level(s):
Senior

Field(s):
Data & Analytics

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:

Interested in applying your wealth of technical knowledge and experience towards an opportunity in the medical field and improving the lives of people with diabetes?  The candidate will be responsible for planning, leading, organizing and motivating teams to achieve a high level of performance and quality in delivering big data initiatives and programs. The role will also contribute to defining and implementing Big Data Strategy for the organization along with driving the implementation of IT solutions for the business.  The candidate will be working on a big data team to focus on applying data engineering, data science and machine learning approaches to solve business problems.

As a Delivery Manager, you will play a crucial role in shaping our data-driven strategies and contributing to the success of our Big Data initiatives at ADC. You will be responsible for driving the cross-functional big data programs and advanced data science solutions to uncover customer, product and operational insights from complex datasets. You will assist with the strategy, design, prioritization, roadmap management and defining and delivery of releases.

The ideal candidate should have rigorous analytical capabilities and a collaborative mindset to help solve our most complex business problems. Highly sought-after qualities include versatility and a desire to continuously learn, improve and empower the team. Candidate should be able to work on a geographically distributed team.

Responsibilities

Program Management:

  • Drive both internal and external team members to define and meet our clients' and organization data and analytics requirements
  • Accountable for the delivery of all products and services for Data Services consistent with planned deliverables
  • Develops and maintains project and product roadmaps
  • Manages concurrent, high visibility products/projects/services using agile methods in a fast-paced environment that will cross teams and business divisions

Collaboration:

  • Collaborate with cross-functional teams including R&D, Global Strategic Marketing, Quality, etc. to identify data needs, gather requirements and provide data-driven solutions aligned with business strategy
  • Work on a cross-functional team of data engineering, data science, etc. to deliver big data initiatives and data programs

Enablement & Delivery:  

  • Provide training and support to team and business partners to enhance data literacy
  • Define and implement complex processes to support delivery of big data initiatives and programs
  • Set and measure success criteria for our data services
  • Maintains overarching responsibility for executing best practices approaches and methodologies (ex: Agile/Scrum, SAFe) for the support and delivery of solutions

Innovate:

  • Stay updated with the latest developments in data science and machine learning to continually improve the team’s data service solutions
  • Identify opportunities for innovation and propose data-driven solutions

Documentation:

  • Maintain comprehensive requirements and design documentation including user stories, use case, data flow diagrams, etc.
  • Ownership over documentation with our Product Lifecyle Management System to ensure seamless and compliant software releases

Required Qualifications

  • Bachelor’s Degree plus at least 4-6 years of recent experience
  • In-depth knowledge of project planning techniques and working knowledge of automated project planning tools
  • Process-oriented thinking, focused on continuous improvement and lessons learned
  • Strong knowledge of data governance principles, data integration, data warehousing and ETL processes
  • Familiarity with data privacy and security regulations, such as HIPAA and GDPR
  • Ability to work collaboratively in a fast-paced, cross-functional team environment
  • Excellent communication and presentation skills with the ability to translate technical information into actionable insights for non-technical stakeholders
  • Comfortable working asynchronously with a distributed team

Preferred Qualifications

  • Education in, or experience with, data science, AI/ML, data engineering, etc.
  • Experience with data analytic environments and/or data intelligence platforms like Databricks, preferably in the medical device or healthcare industry
  • Experience as a Technical Product Owner
  • Experience working in an agile environment

     

The base pay for this position is

$83,600.00 – $167,200.00

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

     

JOB FAMILY:

Product Development

     

DIVISION:

ADC Diabetes Care

        

LOCATION:

United States > Alameda : 2801 Harbor Bay Parkway

     

ADDITIONAL LOCATIONS:

     

WORK SHIFT:

Standard

     

TRAVEL:

Yes, 5 % of the Time

     

MEDICAL SURVEILLANCE:

No

     

SIGNIFICANT WORK ACTIVITIES:

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: http://webstorage.abbott.com/common/External/EEO_English.pdf

     

EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

Abbott

Website: https://abbott.com/

Headquarter Location: Illinois City, Illinois, United States

Employee Count: 1001-5000

Year Founded: 1944

IPO Status: Public

Last Funding Type: Post-IPO Debt

Industries: Biotechnology ⋅ Emergency Medicine ⋅ Genetics ⋅ Health Care ⋅ Health Diagnostics ⋅ Manufacturing ⋅ Medical ⋅ Medical Device ⋅ Nutrition ⋅ Pharmaceutical