Sr Associate Data Management

Job Summary

Role: Sr Associate, Commercial Data Management

Role Overview

The Sr Associate will drive the Data Operations of the platform for a Therapeutic Area (multiple brands) and willbe responsible forexecution 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 willbe responsible fordispositioning them as Incidents vs Enhancementsand alsowillbe responsible forrouting the requests to theappropriate teams.

Responsibilities

• 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 AgileSaFEmethodology including requirements gathering sessions, design,testingand 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 toestablishedGovernance principles of the Data Platform in all stages of the SDLC including Request Intake, Dispositioning, System and User Acceptance testing, documentation, metadatamanagementand Release management
• Communicate with stakeholders through various stages of the SDLC and ensure alignment with stakeholders, and Data Platforms management on effort, solution,timelinesand 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 tomonitorsystem 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
• Identifyand highlight roadblocks, process gaps, and resourcing needs to the Leadership team as part of continuous improvement efforts.

Manage Work Transition and Insourcing

• With direction from the Data Platforms management, transition Operational activities from the vendor partner teams to the AIN team. Build robust repository of knowledge transition documents and set up processes for efficient operations within a global team framework
• Create documentation on the Data flows, business process flows and ensure seamless transition with minimal business disruption.
• Develop standard processes and documents for onboarding new team members
• Execute Operations of the Platform for assigned Brands and domains in partnership with the technology teams in AIN and US.

Facilitate Cross-Team and Organizational Engagement and Alignment

• Partner closely with peers in Commercial Data Strategy core pillars and Data Management Leads in AIN to contribute to delivering against our priority initiatives andestablishnew ways of working, especially across time zones.
• Work with our Technology/IT partners and the US team members in Product Team setting and partner with other Product teams to ensure deliverables are aligned with the Platform governance model
• Act as a liaison between at our Amgen India InnovationCenterwith other Customer Data Analytics Teams to ensure alignment on goals, processes, and success measures.

Basic Qualifications and Experience

• Any degree and 3 to 6 years of relevant data management experience

• Proven experience in working in global teams and across time zones and cultures

• Proven experience in working in Product teams and deliveringhigh qualitysolution in adherence with established processes

• Strong stakeholder management, and communication skills.

• Excellent English oral and written communication.

Functional Skills Must-Have Skills

• Prior experience working in high-performing data management teams, with clear demonstrations of collaboration, innovation, and continuous improvement.

• Prior experience supporting Data Platforms Operations - including executing in Agile Product teams, partnering in phased execution of Platform enhancements and innovations

• Prior experience in data architecture and data flow design, data modelling and in data profiling

• Prior hands-on experience andexpertisein technologies such as AWS and Databricks with ability to dig into code and partner with teams in Root cause analysis and in planning and implementing