Senior Manager - Patient Data Management

ics colleagues across the organization to manage Amgen's patient data assets (e.g. data generated from Patient Support Programs and Specialty Pharmacy patient data contracts). This also includes managing solutions to compliantly connect patient data assets that will serve as the foundation for driving patient journey analytics that inform enhanced patient experiences. This position is responsible for overseeing cross-functional processes, SOPs, and governance to ensure secure and appropriate access to these sensitive data sets.

Roles & Responsibilities:

• Collaborate with cross-functional data & analytics leads to define use cases and deliver high quality data that supports longitudinal patient journey analytics

• Deliver end to end data curation including aggregation, processing, integration and secure access for new and existing patient data assets, ensuring adherence to all Amgen privacy and compliance SOPs

• Implement patient data connectivity across Amgen's first party data and third party syndicated data assets to enable longitudinal analytics across the patient journey

• Drive productivity and improve cycle times with automations in data processing and data quality

• Drive data requirements for patient data contracting with Specialty Pharmacies and Sites of Care organizations

• Develop guidelines and SOPs for appropriate access and usage for Patient Data, with guidance from Legal, Privacy and Compliance leads

• Drive standardization of data deliverables including source data layouts, reference data and reporting solutions

• Manage and oversee outsourced data aggregation vendor partners, ensuring adherence to compliance guidelines, processes and documentation related to processing of Patient Data

• Collaborate and build strong partnerships across the organization, including Commercial Analytics, Data Platforms, Data Sciences, Patient Access, Privacy, Legal, Compliance, IS, and external vendor partners

Basic Qualifications and Experience:

• Master's degree and 8 to 10 years of data management experience OR

• Bachelor's degree and 10 to 14 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:

• Experience in Data Management, Analytics, Sales and/or Marketing Operations, Value & Access, or a related field

• Experience working in the life sciences data domain space, ideally in the areas of Data Platforms and Patient Data.

• Expertise with relevant data, analytics, and technology solutions (AWS/other cloud platforms, SQL, Databricks, Tableau, SAS, Python, R, etc.)

• Direct experience in analyzing large data sets and translating data into information and insights

• Excellent communication skills, including interpersonal skills to foster collaboration and success in a highly matrixed environment; strong oral/written presentation skills

• Strong project management skills - design, lead and manage project teams in a matrixed and, at times, ambiguous environment

• Prior experience in partnering with Global stakeholders and managing teams on planning and execution of multi-year programs

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

• Alignment with best practices and a commitment to championing new and innovative methodologies and tools to enhance patient data strategies and solutions to drive business outcomes.

Good-to-Have Skills:

• Strong expertise and experience working with patient level datasets including first party sources such as Patient Support Programs, Specialty Pharmacies, Syndicated Claims data, Digital, etc.)

• Ability to effectively translate business stakeholder requirements to IT partners to ensure high quality, timely, integrated data assets

• Prioritize and deliver an aggressive set of data deliveries each quarter, through agile execution and continuous improvement

• Demonstrated self-starter, ability to work under limited supervision

• Strong interpersonal skills, negotiation skills, active listening, and relationship management skills

• Strong vendor management skills

• 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.

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