Principal Anaplan Architect ​/ Engineer

What you will do

Let’s do this. Let’s change the world. In this vital role you will be part of the Coverage & Pricing Intelligence product team that is focused on developing new deal modeling and forecasting technology capabilities, Pharmacy and Medical - Payer and Provider Contracting and ASP Module, to increase revenue opportunities in the US market and beyond for Amgen's products. This is a cross-functional team that in collaboration with other GCO DTI teams will develop and mature new digital product capabilities as part of the highly visible Gross-to-Net Transformation initiative.

Responsibilities

• As a Principal DTI Anaplan Architect at Amgen, you will provide strategic leadership in designing and implementing Anaplan system architecture to support business objectives.
• Collaborate with multi-functional teams, develop architectural strategies, evaluate emerging technologies AI/ML, and provide guidance on system design and implementation.
• Extensive experience in Anaplan system architecture, strong technical expertise, and ability to drive innovation, automation, and AI/ML to drive technological advancements.
• Work with connected Data Architects to refine and optimize the technical environment for reuse, agility, and performance.
• Be an interdisciplinary team member who is innovative, accountable, reliable, and able to thrive in a constantly evolving environment.
• Lead the architecture, design, prototype, build, testing, implementation and Dev Ops of Coverage & Pricing's Deal Modeling, Forecasting and Analytics Products on GCO's AWS Data Lake and Anaplan platforms.
• Translate existing spreadsheets and business problems into sophisticated Anaplan multi-dimensional models.
• Modify existing models as part of a connected solution, optimization, or to incorporate new functionality.
• Set up standard processes and documentation for Anaplan models.
• Assist in maintaining existing models, providing architectural guidance, and drive Anaplan best practices for large initiatives
• Lead technological processes, coordinate the coding of developers, overall project architecture and defining the general direction of development tools across the whole SDLC.
• Work with colleagues to understand data requirements and associated calculation logic, and translate data and calculation requirements into model designs.
• Follow Amgen’s governance processes, procedures, specifications, design controls, and applicable compliance standards and guidance documents.
• Work across teams to support the technology stack of Commercial's Coverage, Contracting and Pricing products on standard City Plan platforms (Model N, SAP, Salesforce, GDNA, Anaplan, AWS Redshift/Altery×/Tableau)
• Open to United States remote with preference for candidates location in Pacific Standard time.

Win

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The engineering professional we seek is a problem solver with these qualifications.

Basic Qualifications:

• Doctorate degree and 2 years of engineering experience
• Master's degree and 6 years of engineering experience
• Bachelor's degree and 8 years of engineering experience
• Associate degree and 10 years of engineering experience
• High school diploma / GED and 12 years of engineering experience

Preferred Qualifications:

• Certified Anaplan Solution Architect
• Certified Anaplan Model Builder (Level 1, 2, 3, and The Anaplan Way)
• 3+ years of experience in semantic data layers or data lake architectures
• Extensive hands on experience in Anaplan model building and end-to-end Anaplan deployment experience
• 3+ years of experience with one or more programming languages, such as Python, Scala, or Java.
• Previous experience designing and building large-scale data platforms and systems including AI solutions
• Strong experience of leading multi-dimensional model development on the Anaplan platform, including configuration of existing models, incorporating new functionality, and optimizing modeling solutions
• Experience with ALM. Knowledge of python scripting and REST APIs is an added advantage.
• Familiar with Machine Learning life cycle, with knowledge of feature stores, MLflow, model registries, model deployment, model…