Manager III, VBC Performance , Medicare Population Health Programs

Amazon; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Job summary

Amazon Health Services seeks a Manager, Business Analysis to lead the VBC performance analytics team within Medicare Population Health Programs. You will own the reporting cadence (WBR/MBR/QBR) and manage a team delivering insights and forecasting models for ACO and MA portfolios.

The role requires deep VBC domain expertise in Medicare risk adjustment economics, claims drivers, and cohort dynamics, with close partnership to BIE/DE teams to ensure data products meet leadership needs.

Qualifications

• 5+ years of business/data analyst experience or equivalent.
• 3+ years of direct management experience.
• Bachelor’s degree in Finance, Accounting, Business, Engineering, or related field.
• Experience in forecasting, budgeting, variance analysis, and data interpretation.

Responsibilities

• Own the end-to-end WBR, MBR, and QBR process with narrative development and variance analysis.
• Translate risk adjustment data into actionable insights and RAF trends.
• Lead and develop a team of 6-7 BAs with clear expectations and growth paths.
• Partner with BIE/DE, actuary, finance, and clinical ops to align data products and reporting standards.

Skills

VBC analytics

Forecasting models

Leadership

Stakeholder comms

SQL

Python

AWS

Education

Bachelor's degree

Tools

SQL

MS Power Query

Python

AWS

NoSQL

Job description

Manager III, VBC Performance , Medicare Population Health Programs

Job ID: 10474531 | Amazon.com Services LLC

Amazon Health Services is seeking a Manager, Business Analysis to lead our VBC performance operations analytics team within Medicare Population Health Programs. This leader will own the business reporting cadence, including WBRs, MBRs, and QBRs, and manage a team of business analysts who deliver the insights, forecasts, and models that enable leadership to make informed decisions about our value-based care business. This role requires deep VBC domain expertise, specifically in Medicare risk adjustment economics, medical claims expense drivers, and membership cohort dynamics. The ideal candidate understands how to translate complex VBC data into clear narratives that drive action, and can build forecasting models that help leadership anticipate performance trajectories across our ACO and MA portfolios. This person partners closely with our BIE / DE teams as the primary consumer and requirements-setter for data products, ensuring the right data is available, accurate, and translated into business meaning.

Key job responsibilities

Business Operations Cadence

• Own the end-to-end WBR, MBR, and QBR process for VBC performance, including narrative development, variance analysis, and action tracking
• Ensure leadership has clear line of sight into MCER trends, RAF performance, membership retention, and cohort-level economics on a recurring cadence
• Drive deep dives when performance deviates from plan, identifying root causes and recommending corrective actions
• Establish and maintain the metrics framework that defines how we measure VBC success

VBC Performance Insights

• Translate risk adjustment data into actionable insights, including RAF completeness trends, coding opportunity identification, and revenue impact quantification
• Analyze MCE drivers across categories (inpatient, specialty, pharmacy, post-acute) to surface intervention opportunities
• Develop membership analytics including engagement scoring, retention drivers, and cohort economic trajectories
• Quantify the impact of operational programs (care coordination, readmission prevention, specialty network optimization) on financial outcomes

Team Leadership

• Manage and develop a team of business analysts, setting clear expectations for analytical rigor, business acumen, and stakeholder communication
• Build team capabilities in VBC-specific analytics including risk adjustment modeling, claims analysis, and population health measurement
• Establish standards for analytical deliverables, ensuring consistency, accuracy, and actionability
• Create career development paths that grow analysts into VBC domain experts

Cross-Functional Partnership

• Partner with actuary and finance to build and maintain membership forecasting models that project cohort growth, attrition, and tenure mix across markets and payers
• Partner with the BIE Manager to define data requirements, validate data quality, and prioritize dashboard and reporting development
• Collaborate with clinical operations, network, and growth teams to ensure analytics support operational decision-making
• Work with finance to align on definitions, methodologies, and reporting standards across VBC financial metrics
• Represent business analytics needs in data architecture and platform planning discussions

About the team

You’ll be a key leader on the MPHP team, working at the intersection of clinical operations, technology, and financial performance for One Medical Seniors. The MPHP team supports central strategy, operations and analytics for the One Medical Seniors business line. You will lead a team of 6-7 BAs. This role requires a leader who thrives in ambiguity, brings clarity to complexity, and can align diverse stakeholders around a shared vision. You’ll partner deeply with the MPHP clinical leadership, VBC operations, Product, and BIE/DE teams to drive a top-priority organizational goal: delivering VBC performance and operations insights to better deliver value-based care to our Medicare patients. You’ll thrive here if you are energized by high-stakes, high-impact work and are passionate about improving care for Medicare patients at scale.

Basic Qualifications

• 5+ years of business analyst, data analyst or an equivalent role experience
• 3+ years of direct management experience
• Bachelor’s degree in Finance, Accounting, Business, Engineering, or a related field
• Experience in management directly
• Experience in a business analyst, data analyst or equivalent role
• Experience delivering forecasting, budgeting, variance analysis, and data interpretation of results

Preferred Qualifications

• Master’s degree in Business, Economics, Statistics, Engineering, or a related field
• Experience working with large-scale data mining and reporting tools (i.e. SQL, MS Power Query, Python)
• Experience with Cloud platforms (preferably AWS), database systems (SQL and NoSQL), AI tools for development productivity, contributing to open-source projects, and/or version control systems
• Experience delivering complex, data-driven recommendations to senior leadersDeep knowledge of value-based care economics including risk adjustment (HCC/RAF), medical claims expense analysis, and PMPM financial modeling
• Experience with Medicare Advantage or ACO financial models, including MCER, MLR, and cohort-level P&L analysis
• Experience building membership forecasting models that account for seasonality, tenure effects, and market dynamics
• MBA, MPH, or advanced degree in a relevant quantitative field

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&DD 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 .

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

• USA, CA, San Francisco - 157,100.00 - 212,600.00 USD annually
• USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

Preferred Qualifications

• Master’s degree in Business, Economics, Statistics, Engineering, or a related field
• Experience working with large-scale data mining and reporting tools (i.e. SQL, MS Power Query, Python)
• Experience with Cloud platforms (preferably AWS), database systems (SQL and NoSQL), AI tools for development productivity, contributing to open-source projects, and/or version control systems
• Experience delivering complex, data-driven recommendations to senior leaders
• Deep knowledge of value-based care economics including risk adjustment (HCC/RAF), medical claims expense analysis, and PMPM financial modeling
• Experience with Medicare Advantage or ACO financial models, including MCER, MLR, and cohort-level P&L analysis
• Experience building membership forecasting models that account for seasonality, tenure effects, and market dynamics
• MBA, MPH, or advanced degree in a relevant quantitative field

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