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About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women’s health and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.

Machine Learning Operations Architect

Lake County, Illinois Req ID 2204108 Category Information Technology Division AbbVie

The US Commercial Business Technology Solutions is looking for a MLOps Architect who is responsible for the planning, coordination, and successful deployments of US Commercial Data Lake project deliveries and building capabilities across AbbVie brands, and functions. Coordinates with IT Business Relationship Managers, Business Consultants, Solution Architects, Technical Leads, Developers, Business Analysts, PMO, business stakeholders, and System Integrator(s) to drive the US Commercial solutions through end-to-end delivery and completion. Works closely with Data and System Integrator(s) to ensure alignment of key project activities and milestones for deployment and solution delivery. Oversees and ensures completion of business and project cut-over activities. This position would establish and lead Data Science Architecture at AbbVie and would act as an advisor for all advanced analytics initiatives across business functions. This is an opportunity to build the strategy and vision for data science, AI/ML, and predictive/prescriptive analytics for the enterprise. We are looking for a technology enthusiast who could interpret and correlate multi-functional data sets to solve complex business problems. The MLOps Architect would work closely with all business functional leaders to understand their use cases and help them provide advanced analytics solutions to help them take proactive decisions. They would be responsible to improve existing AI/ML techniques by promoting new methodology and best practices from the industry.

Responsibilities: 

  • Define and implement data science architectural framework and operating model for predictive and prescriptive analytics.
  • Lead and run data science Center of Excellence across AbbVie Commercial business functions.
  • Provide technical leadership in feasibility study of data science use cases to business functions and work with developers across teams to design, build and implement data science solutions and capabilities.
  • Leverage AI model techniques to model data, predict outcomes, and prescribe actions.
  • Conduct POV (Proof of Value) for data science use cases to show the benefits to business leadership.
  • Align with data engineering, data integration, data analytics, data science, and data operations work to ensure consistency across workstreams.
  • Work with multiple IT functions as an advisor for advanced data technical capabilities in AI, Machine learning/Deep learning, NLP solutions, data visualization, etc.
  • Lead technology and services vendors to deliver solutions to business.
Qualifications:

Qualifications:

  • Bachelor’s Degree 7 years of experience, Master’s Degree 6 years of experience, PhD 2 years of experience in application program development. Work experience in the pharmaceutical industry preferred.
  • Strong knowledge of machine learning algorithms for data science, e.g., Linear and Logistics Regression, Decision Tree, Random Forest, Neural Networks, etc.
  • Strong knowledge of advanced analytics platform such as Dataiku.
  • Strong knowledge of technologies such as Python, R Codes, Tensor Flow, Sage maker, etc.
  • Experience in data management, business analysis, and developing analytical models using statistical, machine learning, and data mining methodologies to drive business impact.
  • Ability to apply cleansing, imputation, selection, and generalization techniques to create high-quality features for modeling.
  • Strong knowledge of industry best practices and technologies for data science.
  • Experience in data visualization tools such as Qlik, Power BI, Looker, Einstein is a big plus.
  • Self-Starter with having the ability to be innovative, creative, analytical, strategic, passionate.
  • Practical experience in architecture roles including architectural principles, helping define the reference architecture, building technology roadmaps aligned with business strategy, and helping to institute governance to ensure alignment of investment to strategy/architecture.
  • Communication, leadership, collaboration, creativity, and driving passion for truth in information.
  • Entrepreneurial spirit, persistence, and resilience; comfort with and ability to thrive on and drive change in ambiguity.
  • Strong problem solving and critical thinking skills that build trust and serve to positively influence partners and teammates.
  • Familiarity with technologies like AWS S3, EMR, EKS, Snowflake. 
  • Provide solutioning and support to vendors, developers, and other technical architects to enable solutions that meet business strategies.
  • Strong written and verbal communication, presentation, and technical writing skills, coupled with a strong interest in further developing and integrating enterprise business processes with technology skills.
  • Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, data security, and the software development lifecycle.
Significant Work Activities: Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)
Travel: Yes, 5 % of the Time
Job Type: Experienced
Schedule: Full-time
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