Data Visualization Product Manager

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:

Data Visualization Product manager will be responsible for building and leading a highly talented and data-focused team in our Innovation Center in India.  This individual will be responsible for building and growing the Value Management Office Data Visualization team and capabilities. The Product Manager will also oversee operations of our data platforms in partnership with the Technology team lead in India, driving cost efficiencies of the platform, and continuous innovation. The Product Manager will also be responsible for managing Data Management team members in India on the execution of Operations deliverables aligned across our various Data Platforms Product teams.

Roles & Responsibilities:

Build and Develop High-Performing Teams

• Hire, onboard, and develop new talent.

• Lead and manage the team in India partnering with the Value Management Office leadership

• Partner with peers in matrixed organization

• Motivate the team, delegate effectively, champion diversity within the team and act as a role model.

• Partner with peers & leads in the stakeholder teams in India across

• Partner with Technology teams in India and US and peers in India to establish processes for Infrastructure governance to cover costs and performance and proactively address issues and manage costs

• Partner with Technology teams in conducting Proof of Concepts (POCs) on new Tools and technologies and communicate results to Leadership to gain alignment for Production scaling

• Lead projects to implement Gen AI solutions on our Data Platform including solutions that leverage LLMs to improve Data Quality, detect anomalies in data and processes, leverage unstructured data for insights, along with lineage detection and business rule bots, etc.

• Engage in design discussions with peers in stakeholder organizations

• Instill a culture of collaboration, continuous improvement, and accountability.

• Identify and resolve roadblocks, process gaps, and resourcing needs as part of continuous improvement efforts.
   

Manage Work Transition and Insourcing

• Develop and oversee transition plans to migrate work to our Amgen India innovation center with minimal disruption.

• Lead the insourcing of our operational data management services currently delivered by external vendors, ensuring appropriate knowledge transfer, risk mitigation, and operational readiness.

• Ensure robust documentation during transition phase to enable onboarding the team members
   

Basic Qualifications and Experience:

• Master's degree and 10 to 15 years of data management experience OR

• Bachelor's degree and 12 to 17 years of relevant data management experience

• Proven experience in building teams, managing, and retaining talent in India.

• Demonstrated success in managing complex transitions.

• Strong leadership, stakeholder management, and communication skills.

• Excellent English oral and written communication.

• Comfortable working in global teams and across time zones and cultures.
   

Functional Skills:

Must-Have Skills:

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

• Prior experience managing Data Platforms operations - including managing across Agile Product teams on phased execution of Platform enhancements and innovations

• Prior experience in leading major data transformation projects with global teams, including core teams situated in India.

• Prior experience leading Proof of Concept (POC) projects evaluating new technologies and scaling from POCs to production

• Prior experience and familiarity with future state Data Architectures and solutions including Gen AI solutions for Data Products, Data Architectures and tools to support Insight generation on Unstructured data

• Prior experience leading and partnering with Technology teams in data architecture design, data modelling and data flow design

• Prior experience using technologies such as Tableau, PowerBI, AWS and Databricks and in managing Infrastructure costs and leading optimization efforts

• Prior experience in partnering with Global stakeholders and managing teams on planning and execution of multi-year Data management 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 supporting Commercial stakeholders – Analytics, Reporting, Decision Sciences and Forecasting

• User Experience - UI standards

• 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:

• Excellent leadership and team management 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.