Director, Strategic Data Lead

AmgenThousand Oaks, CA
$199,065 - $269,323

About The Position

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career Director, Strategic Data Lead In this vital role, lead strategic data partnership across priority commercial business areas, translating brand priorities, customer needs, business questions, and analytic use cases into clear, actionable data strategies and sourcing recommendations. You will work closely with Brand teams, BAI PODs, Access, Field Effectiveness, Data Science, Data Management, Legal, Privacy, Compliance, Procurement, and external data partners to ensure Amgen is using the right data, using existing data more effectively, and identifying new data opportunities that can improve decision-making and business impact. This is a business-facing, consultative role for a leader who understands how data supports commercial strategy, customer understanding, analytic frameworks, measurement, launch readiness, access, field execution, and brand performance. This role brings Commercial Data Strategy perspective into business, brand, and data planning discussions, shaping data strategy while partnering with the teams that generate insights, build solutions, govern data use, and execute. You will define and pressure-test business questions, shape customer-back use cases, clarify data needs, determine whether existing data can be reused or enhanced, and align internal and external partners around scope, value, data rights, deliverables, and execution pathways. You will also lead forward-looking assessment of a fast-changing external data landscape by tracking market trends, emerging providers, changing access models, and broader ecosystem shifts that could influence future strategy. You will connect these external signals to brand priorities, customer journeys, market dynamics, access considerations, competitive context, and strategic imperatives to inform practical data strategies and investment recommendations. As a strategic partner to the business, this role requires strong analytic framework understanding, executive presence, customer-back thinking, negotiation skills, and the ability to influence across a matrixed organization.

Requirements

  • Doctorate degree and 4 years of data acquisition, data governance, commercial data operations, vendor management, commercial analytics, data strategy, or a related field experience OR Master’s degree and 8 years of data acquisition, data governance, commercial data operations, vendor management, commercial analytics, data strategy, or a related field experience OR Bachelor’s degree and 10 years of data acquisition, data governance, commercial data operations, vendor management, commercial analytics, data strategy, or a related field experience
  • At least 4 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation or resources. Your managerial experience may run concurrently with the required technical experience referenced above

Nice To Haves

  • Strong understanding of commercial analytic frameworks and how data supports segmentation, targeting, measurement, launch readiness, market access, customer journey analysis, field execution, brand performance, and KPI development.
  • Ability to think customer-back and define data use cases based on customer needs, desired behaviors, barriers, leverage points, decision needs, and expected business value.
  • Strong business acumen with the ability to connect brand strategy, customer insights, market dynamics, analytic needs, and external data opportunities.
  • Experience partnering with Analytics, Market Research, Data Science, or Commercial teams to support insights, measurement, research, and business decision-making.
  • Understanding of pharmaceutical and healthcare data ecosystems, including sales, claims, patient, provider, payer, plan, specialty pharmacy, lab, EHR/EMR, digital, media, access, and real-world data.
  • Ability to identify data reuse opportunities, duplication risks, underused assets, and data investment trade-offs across vendors and business needs.
  • Experience shaping data opportunity briefs, business cases, use-case summaries, or strategic recommendations for senior leadership decision-making.
  • Ability to influence decisions and drive alignment without direct authority across senior stakeholders and cross-functional teams.
  • Strong negotiation, diplomacy, and stakeholder management skills, with the ability to align internal partners and vendors around business needs, deliverables, value, and execution trade-offs.
  • Experience partnering with Legal, Privacy, Compliance, Procurement, Finance, DTI, Data Management, and vendor partners to support responsible, scalable, and compliant use of data.
  • Strategic mindset with the ability to balance forward-looking opportunity identification with practical execution through established owners and operating models.
  • Strong facilitation, prioritization, problem-solving, and stakeholder management skills.
  • Ability to operate as a business thought partner and internal consultant, not only as a data acquisition or vendor management resource.

Responsibilities

  • Lead strategic data partnership across priority commercial business areas, bringing a Commercial Data Strategy perspective to brand planning, business decision-making, and data-enabled opportunities.
  • Translate brand plans, strategic imperatives, launch needs, access priorities, field priorities, and customer opportunities into practical data strategies and sourcing recommendations.
  • Partner across Brand teams, BAI PODs, and cross-functional stakeholders to understand analytic frameworks, measurement needs, and business decisions that data must support.
  • Frame data use cases from the customer and business angle, including the customer segment, behavior to influence, barrier to address, decision to be made, data needed, and expected business value.
  • Develop a strong understanding of Amgen’s commercial data ecosystem, including current data assets, underused sources, known gaps, vendor landscape, customer journey needs, and external market signals.
  • Identify and act on opportunities to better use data Amgen already purchases, reduce duplication, rationalize underused assets, and redirect spend toward higher-value data needs.
  • Assess whether business needs can be met through existing data, enhanced use of current assets, or new external data sources.
  • Develop and present data opportunity briefs and recommendations that clearly articulate the business question, customer use case, analytic need, data requirements, potential vendors, feasibility considerations, risks, and investment rationale.
  • Establish and own the prioritization framework for data opportunities across competing business needs, balancing value, urgency, feasibility, strategic relevance, and investment trade-offs.
  • Connect the right execution teams across Data Management, Data Science, DTI, Legal, Privacy, Compliance, Procurement, Finance, BAI PODs, and vendors to bring approved data strategies to life.
  • Lead business input into renewal, sourcing, investment, and vendor negotiations by defining data usage, future need, duplication risk, strategic relevance, data rights, deliverables, and value trade-offs.
  • Maintain visibility to upcoming brand priorities, launch milestones, market events, competitive dynamics, and data needs.
  • Communicate data strategy, recommendations, trade-offs, and decision points clearly to senior stakeholders across the business teams.

Benefits

  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models where possible.
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