Roles & Responsibilities
Execution of Data-Enabling Features in Product Teams
Lead and oversee prioritization, execution and deployment of features in one of our Commercial Data Platforms Product teams aligned with standard operating procedures
Lead various stages of SDLC as a member of the Data Management Operations teams – including requirements gathering sessions with stakeholders across the US Commercial Organization (including Incentive Compensation, Field Reporting, Forecasting, Secondary Analytics), design, testing and documentation in partnership with the Technology teams in a Product Team setting.
Partner with peer teams in the US and technology teams to review requests, design solutions, estimate effort and prioritize requests in assigned Product backlog
Communicate with stakeholders through various stages of the SDLC and ensure alignment with stakeholders, and management on effort, solution, timelines and expectations
Accountable for ensuring governance processes are followed and appropriate system testing, User Accepting Testing (UAT) are done and documentation is set up to ensure traceability through the lifecycle of deployment
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
Build connected data products for Amgen’s Commercial Data and Analytics function leveraging data sets mentioned above that enable insights around Prescriber & Patient behaviour & engagement patterns to support more efficient targeting algorithms
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 with the US teams and Technology teams to evaluate and implement tools and technologies to support the future state of the platform including Automated Anomaly detection, Automated document generation, Bots against data, Searchability of data assets, 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.
Identify opportunities for continuous improvement and highlight to direct line management and strategize roadmap for deployment
Manage Work Transition and Insourcing
In partnership with the Senior Manager Data Platforms, develop and oversee transition plans to migrate work to our Amgen India Innovation Center with minimal disruption and develop standard processes for onboarding peers and broader team.
Execute on the insourcing of our Operational Data Management Services currently delivered by external vendors, ensuring appropriate knowledge transfer, risk mitigation, and operational readiness.
Build robust repository of knowledge transition documents and set up processes for efficient operations within a global team framework
Facilitate Cross-Team and Organizational Engagement and Alignment
Partner closely with peers in Commercial Data Strategy core pillars and Data Management Senior Manager to contribute to delivering against our priority initiatives and establish new 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 Innovation Center with other Customer Data & Analytics Teams to ensure alignment on goals, processes, and success measures.
Basic Qualifications and Experience
Master’s degree and 4 to 6 years of data management experience OR
Bachelor’s degree and 8 to 10 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 delivering high quality solution in adherence with established processes
Strong leadership, stakeholder management, and communication skills.
Excellent English oral and written communication.
Functional Skills
Must-Have Skills
Prior experience and success working in high-performing data management teams, with clear demonstrations of collaboration, innovation, and continuous improvement.
Prior experience leading and supporting Data Platforms Operations - including executing in Agile Product teams, overseeing phased execution of Platform enhancements and innovations
Prior experience in executing in major data transformation projects with global teams, including core teams located in India.
Prior experience in data architecture and data flow design, data modelling and in data profiling
Prior hands-on experience and expertise in technologies such as AWS and Databricks with ability to dig into problem statements and partner with teams in Root cause analysis and in planning and implementing long term remediation
Hands-on experience with data analysis using tools and technologies like SQL, Python, R, etc.
Prior experience in partnering with stakeholders and technology teams in solution design for small features as well as complex large programs
Quick learning agility to understand new concepts such as our end-to-end Commercial data flows to identify and remediate interdependencies.
Collaborate with peers, India leadership team and peer teams in the USA to stay ahead of industry trends, best practices, and emerging technologies in data acquisition and build multi-year forward looking Data platform roadmaps.
Alignment with best practices and a commitment to championing new and innovative methodologies and tools to enhance data strategies and solutions to drive business outcomes.
Good-to-Have Skills
Experience working in the life sciences commercial data domain space, ideally in the areas of Data Platforms and Patient Data.
Understanding of the syndicated commercial data sets and use cases
Worked in multinational settings with teams from different countries.
Basic understanding of compliance and data privacy requirements.
Familiarity with and application of Scaled Agile Framework (SAFe).
Soft Skills
Exceptional collaboration and communication skills.
Strong data & analytics/critical-thinking and decision-making abilities.
Able to perform well in a fast-paced, changing environment.
Strong oral, written, and presentation skills, with the ability to articulate complex concepts and controversial findings clearly and compellingly.
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GCF Level
GCF Level 05A
Career Category
Sales and Marketing Ops
Position Type
Full time
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