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Manager, Network Intelligence & Strategy, Amazon One Medical

Amazon

Manager, Network Intelligence & Strategy, Amazon One Medical

Amazon

Virtual, USA

·

On-site

·

Full-time

·

1w ago

Application deadline: Mar 17, 2026

As the the Manager, Network Intelligence & Strategy, you will build and lead the network intelligence capability that underpins Amazon Health’s expanding provider ecosystem. This is a highly strategic role responsible for defining how Amazon evaluates markets, designs provider networks, and translates network insights into scalable partnerships across payers, employers, and health systems. This role operates at the intersection of strategy, analytics, and execution and will directly influence how Amazon scales its provider platform nationally.

You will define and scale the frameworks Amazon uses to prioritize markets, evaluate partnerships, and design high-performing provider networks. This includes building durable mechanisms that integrate access, economics, quality, and competitive dynamics into repeatable decision systems. You will establish the long-term architecture for how Amazon approaches network design in an increasingly hybrid model spanning owned assets, third-party partnerships, and virtual care. You will also serve as the primary analytical partner to the Chief Network Officer, helping shape Amazon’s transition toward more health plan–driven growth models.

This position plays a key role in shaping how Amazon evaluates long-term payer strategy and the evolving economics of national network platforms.

Key job responsibilities

  • Network Development and Partnerships
  • Support national network expansion across health systems, specialty providers, and third party partners
  • Identify, evaluate, and help structure new partnership opportunities aligned to One Medical’s growth strategy
  • Manage a portfolio of strategic relationships spanning exploratory partnerships through scaled execution
  • Represent Amazon One Medical in external meetings with senior executives and partners
  • Shape partnership constructs including clinical integration models, data collaboration, and market expansion approaches
  • Chief Network Officer Support
  • Serve as a strategic partner to the Chief Network Officer on priority initiatives and leadership agendas
  • Drive preparation for executive forums including MBRs, WBRs, and strategic reviews
  • Translate leadership direction into actionable workstreams and track execution across stakeholders
  • Program Leadership and Execution
  • Coordinate across clinical, payer, enterprise, and operations teams to drive alignment and execution
  • Establish mechanisms to track progress, surface risks, and ensure delivery against milestones
  • Bring structure to ambiguous problem spaces and drive outcomes through influence rather than authority
  • Internal and External Stakeholder Management
  • Act as a trusted interface between the network team and broader Amazon Health Services leadership
  • Build strong working relationships across Commercial, Seniors, Enterprise, and Product teams
  • Support partner governance including executive touchpoints, performance tracking, and escalation management

Basic Qualifications

  • Bachelor's degree
  • Experience with end-to-end ownership of major project deliverables
  • Experience building and managing financial models for business forecasting and problem solving, or experience applying key financial performance indicators (KPIs) to analyses
  • Experience in influencing senior leadership through data driven insights
  • Experience effectively communicating complex concepts through written and verbal communication
  • Experience working in a fast-paced, rapidly changing operations environment
  • 8+ years of experience in healthcare strategy, network development, consulting, payer, provider, or healthcare analytics environments
  • Deep understanding of provider economics, value-based care constructs, and network design principles

Preferred Qualifications

  • MBA, or Advanced degree
  • Experience producing executive-level written materials and presenting to executive audiences
  • Experience working within a high-growth technology company
  • Experience developing and launching V1 products
  • Experience spanning multiple parts of the healthcare value chain
  • Experience building network intelligence platforms or decision frameworks
  • Familiarity with geospatial analytics, market intelligence, or advanced network planning approaches
  • Passion for healthcare transformation and building scalable national platforms

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, , - 143,700.00 - 194,400.00 USD annually

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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total / year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge