Delivery Manager

apartmentAbbott Laboratories placeAbbott Park calendar_month 
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 $72,700.00 – $145,300.00. In specific locations, the pay range may vary from the range posted.

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