Data Management Sr Associate

Role : Sr Associate, Commercial Data Management

About Amgen

Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.

About The Role

Role Description :

The Sr Associate will drive the Data Operations of the platform for a Therapeutic Area (multiple brands) and will be responsible for execution of enhancements on the Data Platform for those brands. The Sr Associate role will be the liaison for all stakeholders of the brands (Field Excellence including Reporting & IC, Brand Analytics, Forecasting, V & A etc.) driving continuous innovation and operational excellence. The role will partner with the AIN Manager as well as cross-functional teams including Technology teams in AIN and US, Data Management Leads in the US and AIN team members from the stakeholder functions in execution of Enhancements for the brands. The role will serve as the SME of the data sets specific to the Brand(s) and will be the Point of Contact for intake and dispositioning of requests from all stakeholders. The role will also serve as the first gate for triage of the requests and will be responsible for dispositioning them as Incidents vs Enhancements and also will be responsible for routing the requests to the appropriate teams.

Roles & Responsibilities :

Execution of Data-Enabling Features in Product Teams

• Partner with domain specific Product Teams in execution and deployment of features for a Therapeutic Area aligned with standard operating procedures
• Serve as Data Platform liaison for a Therapeutic Area or a set of brands for stakeholders across the US Commercial Organization (including Incentive Compensation, Field Reporting, Forecasting, Secondary Analytics) as well as cross functional teams
• As liaison for all stakeholder functions for the brand or Therapeutic area, partner with the Product teams in execution of various stages of SDLC following the Agile SaFE methodology– including requirements gathering sessions, design, testing and documentation
• Partner with peers in the US Data Platform teams and technology teams in AIN and US to review requests, design solutions, estimate effort and prioritize requests in assigned Product backlog
• Ensure adherence to established Governance principles of the Data Platform in all stages of the SDLC – including Request Intake, Dispositioning, System and User Acceptance testing, documentation, metadata management and Release management
• Communicate with stakeholders through various stages of the SDLC and ensure alignment with stakeholders, and Data Platforms management on effort, solution, timelines and expectations
• Responsible for working with syndicated data sets including IQVIA data – DDD, Xponent, ELAAD, etc., Digital Marketing data sets including Patient and Physician level data sets and internal data sets like HR data, Call Activity data from CRM systems, Patient Hub data to set up and enable HCP & Patient centric connected data sets for our stakeholders
• Responsible for the Operations of the Platform for the assigned TA / Brands – ensuring that the data sets are refreshed per SLA and per the established cadence
• Manage the Big Data platform infrastructure (Built on AWS tech / Airflow for Data storage and orchestration and Databricks for processing) – including access to the platform, platform costs, ad hoc capabilities for users, data quality, etc.
• Partner in evaluation and implementation of tools and technologies to support the future state of the platform including Automated Anomaly detection, Automated document generation, LLM models on data and documents and other Gen AI capabilities
• Partner with the Technology teams and direct line management to implement processes to monitor system health, set up alerts for anomalies and implement steps to proactively remediate areas of concern on the infrastructure front
• Partner with peers across our four pillars – Master Data Management, Data Platforms, Patient Data Management, Data Acquisition & Governance to ensure alignment on solutions implemented for stakeholders
• Identify and highlight roadblocks, process gaps, and resourcing needs to the Leadership team as part of continuous improvement efforts.

Manage Work Transition and Insourcing

Facilitate Cross-Team and Organizational Engagement and Alignment

Basic Qualifications and Experience :

Functional Skills : Must-Have Skills :

Good-to-Have Skills :

Soft Skills :

Ready to Apply for the Job

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GCF Level

GCF Level 04A

Career Category

Sales and Marketing Ops

Position Type

Full time

Skills Required

Data Profiling, Agile, Databricks, Data Architecture, Python, Sql, Aws