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Amgen

Makes biotech medicines for serious illnesses

Director – Development Data & Analytics

Engineering LeadershipPosted on Nov 11
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • A doctorate, master's, or bachelor's degree with 17 or more years of clinical development or clinical data management experience, or a master's degree with 8 years of analytics, technology, data, or related experience.
  • Four years of experience directly managing people and/or leading teams, programs, or significant portfolios with responsibility for directing resource allocation.
  • Significant experience leading analytics, data, digital, or technology delivery organizations in a complex global enterprise.
  • Experience in biopharmaceuticals, life sciences, manufacturing, supply chain, or another highly regulated industry.
  • Strong understanding of operational analytics in areas such as manufacturing, supply chain, quality, engineering, process development, or operational excellence.
  • Experience building and scaling analytics teams in India that support global stakeholders.
  • Ability to influence senior leaders and navigate a global organization.
  • Ability to communicate, facilitate, negotiate, and solve problems while managing ambiguity, competing priorities, and complex organizational dependencies, with a focus on delivery.
  • Success managing an analytics product portfolio end to end, from demand through development, deployment, adoption, and lifecycle management.
  • Knowledge of modern analytics architectures, product-oriented delivery models, data platforms, business intelligence, visualization technologies, and agile ways of working.
  • Experience with advanced analytics, machine learning, artificial intelligence, and automation, and ability to identify where these technologies can create operational value.
  • Ability to define and use Key Performance Indicators, Service Level Agreements, and business-value measures to manage performance.
  • Financial and resource-management skills, including workforce planning, portfolio prioritization, and vendor management.
  • Ability to recruit, develop, and lead diverse, high-performing technical and analytical teams, develop people, foster inclusion, and build a collaborative global culture.

Responsibilities

  • Establish and lead the India-based Operational Analytics Delivery organization, including its operating model, governance, disciplines, and ways of working.
  • Build capabilities in analytics engineering, business intelligence, product management, data science, and analytics delivery.
  • Translate strategic business goals into product roadmaps, delivery plans, and resource plans, and manage demand through prioritization mechanisms.
  • Own end-to-end delivery of Operational Analytics Delivery products and solutions supporting global Operations, ensuring quality, speed, and scalability.
  • Resolve organizational roadblocks and escalate risks to maintain delivery.
  • Provide transparent portfolio reporting on progress, risks, mitigations, and business impact or outcomes.
  • Shift operational analytics delivery from one-time reports to reusable, scalable products for widespread use across Operations.
  • Partner with business stakeholders to identify analytics opportunities, deliver business insights and actions, promote data-driven decisions, and define product adoption, business value, and performance measures.
  • Identify opportunities to apply advanced analytics, automation, machine learning, and artificial intelligence to operational challenges.
  • Establish common standards and sustainable support for analytics product development, testing, deployment, and lifecycle management.
  • Establish and track delivery Key Performance Indicators, service levels, quality measures, and business-value metrics.
  • Implement demand, capacity, and resource-management practices.
  • Ensure appropriate data governance, security, privacy, quality, and regulatory requirements are incorporated into analytics delivery.
  • Oversee external partners and vendors, including performance, quality, cost, and delivery against agreed outcomes.
  • Drive continuous improvement in processes, tools, and organizational effectiveness.
  • Recruit, develop, coach, and retain a high-performing analytics organization.
  • Establish clear roles, career paths, development opportunities, and succession plans.
  • Build strong global connections so Operational Analytics Delivery operates as an integrated global capability.
  • Serve as a senior partner to Operations leaders and functional stakeholders globally.
  • Build trusted relationships across Operations, Technology, Data & Artificial Intelligence, and other enterprise functions.
  • Influence strategic business priorities and investment decisions by articulating business value, trade-offs, and delivery considerations.
  • Represent Operational Analytics Delivery in relevant leadership and governance forums.
  • Communicate complex analytics and analytics product topics clearly to technical and non-technical senior leaders.

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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