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Amgen

Makes biotech medicines for serious illnesses

Data Management Senior Manager

Data ManagementConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • A Master's degree and 8 to 10 years of data management experience, or a Bachelor's degree and 10 to 14 years of relevant data management experience.
  • Proven experience building teams and managing and retaining talent in India.
  • Demonstrated success managing complex transitions.
  • Strong leadership, stakeholder management, and communication skills.
  • Excellent English oral and written communication.
  • Comfort working in global teams and across time zones and cultures.
  • Prior experience building high-performing data management teams, with demonstrated 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 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 them 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 AWS and Databricks, managing infrastructure costs, and leading optimization efforts.
  • Prior experience partnering with global stakeholders and managing teams on planning and execution of multi-year data management programs.
  • Ability to quickly learn new concepts such as end-to-end commercial data flows to identify and remediate interdependencies.
  • Ability to collaborate with peers, the 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 commitment to championing innovative methodologies and tools to enhance data strategies and solutions and drive business outcomes.
  • Excellent leadership and team management skills.
  • Strong data and analytics, critical-thinking, and decision-making abilities.
  • Ability to perform well in a fast-paced, changing environment.
  • Strong oral, written, and presentation skills, including ability to clearly articulate complex concepts and controversial findings.

Responsibilities

  • Build, lead, and develop the Commercial Data Management team and capabilities in India, including hiring, onboarding, and developing talent to deliver organizational goals.
  • Lead and manage the Commercial Data Platforms and Data Management team in India, partnering with the Director of Commercial Data Management.
  • Partner with peers across Master Data Management, Data Platforms, Patient Data Management, and Data Acquisition & Governance to establish an aligned vision for the Data Management team in India.
  • Motivate the team, delegate effectively, champion diversity, and act as a role model.
  • Partner with stakeholder-team peers and leads in India across Secondary Analytics, Forecasting, Incentive Compensation, Field Reporting, and Technology to prioritize and implement requests across Product teams.
  • Establish infrastructure-governance processes with Technology teams in India and the US and India-based peers to cover costs and performance, proactively address issues, and manage costs.
  • Conduct Proof of Concepts with Technology teams on new tools and technologies and communicate results to leadership to gain alignment for production scaling.
  • Lead projects implementing Gen AI solutions on the Data Platform, including LLM-enabled data-quality improvement, anomaly detection in data and processes, use of unstructured data for insights, lineage detection, and business-rule bots.
  • Participate in design discussions with stakeholder-organization peers on data products leveraging syndicated providers such as IQVIA DDD, XPO, and LAAD, as well as internal CRM, HR, Finance, and Digital Media data, to enable customer-centric prescriber and patient datasets.
  • Foster collaboration, continuous improvement, and accountability.
  • Identify and resolve roadblocks, process gaps, and resourcing needs as part of continuous improvement efforts.
  • Develop and oversee transition plans to migrate work to the Amgen India innovation center with minimal disruption.
  • Lead insourcing of operational data management services delivered by external vendors, ensuring knowledge transfer, risk mitigation, and operational readiness.
  • Ensure robust documentation during the transition phase to enable team-member onboarding.
  • Partner with peers in Commercial Data Strategy core pillars and the Data Management Director to deliver priority initiatives and establish new ways of working, especially across time zones.
  • Partner and collaborate with stakeholder-function peers with extended teams in Amgen India, including Incentive Compensation, Field Reporting, and Brand Analytics senior managers, and Data Management peers to establish Data Products for stakeholders.
  • Work with Technology and IT partners to establish Agile Product Teams at the Innovation Center and work effectively across product teams in other geographies.
  • Act as a key liaison between the Amgen India innovation center and other Customer Data & Analytics teams to align goals, processes, and success measures.
  • Collaborate with peers, India leadership, and peer teams in the USA to build multi-year forward-looking data platform roadmaps.

Desired Qualifications

  • Experience in the life sciences commercial data domain, ideally in Data Platforms and Patient Data supporting commercial stakeholders in Analytics, Reporting, Decision Sciences, and Forecasting.
  • Understanding of syndicated commercial datasets including DDD, XPO, and LAAD from IQVIA; CRM datasets for Call Planning; and Patient Hub and Specialty Pharmacy datasets.
  • Experience working in multinational settings with teams from different countries.
  • Basic understanding of compliance and data privacy requirements.
  • Familiarity with and application of the Scaled Agile Framework (SAFe).
  • Exceptional collaboration and communication skills.

About the Company

Amgen

Makes biotech medicines for serious illnesses

Amgen develops and makes biologic medicines, which are drugs built from proteins and antibodies grown in living cells, for serious conditions such as heart disease, cancer, and bone loss. Its anemia drug Epogen, approved in 1989, became one of the biotechnology industry's first blockbuster medicines. Amgen grows these drugs in large tanks called bioreactors, and its products include the cholesterol drug Repatha, the bone-building drug Evenity, and the severe asthma drug Tezspire. It earns money by selling these medicines, mostly through large drug wholesalers that supply hospitals and pharmacies. Amgen was founded in 1980 and is based in Thousand Oaks, California.

Company size
10,001+
Company stage
IPO
Headquarters
Thousand Oaks, CA
Founded
1980

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