Sr Associate Data Management

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 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.

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 delivering high quality solution in adherence with established processes

Strong stakeholder management, and communication skills.

Excellent English oral and written communication.

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 and expertise in 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 long term remediation

Hands-on experience with data analysis using tools and technologies like SQL, Python, R, etc.

Quick learning agility to understand new concepts such as our end-to-end Commercial data flows to identify and remediate interdependencies.

Inclination to continue learning and adopt and adapt new concepts and technologies and propose innovation ideas to leadership.

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.

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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Full time