Senior Manager, Medical Economics & Provider Analytics

Cogitativo

United States

On-site

USD 150,000 - 190,000

Full time

6 days ago
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Job summary

Cogitativo, based in Berkeley, seeks a Senior Manager for Medical Economics & Provider Analytics to lead provider economics and cost-of-care analytics within the Cognitive CXO product suite. You will interpret spend, utilization, and network results to quantify value and build business cases for health plans and executives.

You’ll scale a reporting model, work with data engineers, PMs, and clinicians, and guide a small analytics team.

Qualifications

  • Bachelor’s degree in finance, accounting, economics, healthcare administration, mathematics, statistics, or related field.
  • 8+ years in healthcare finance, financial planning and analysis, or analytics with hospital/health system experience.
  • Forecasting, variance analysis, and pro forma modeling with P&L understanding.
  • Consulting to clinical/administrative leadership and influencing decisions through analysis.
  • 2+ years leading or mentoring analysts while remaining hands-on.
  • SQL and Python proficiency; experience with exec-facing reporting.
  • Experience with healthcare claims data and cost-of-care concepts; VA experience a plus.
  • Understanding provider contracting, system economics, and financial statements.
  • Strong written/verbal communication and stakeholder relationship skills.
  • Ability to thrive in ambiguous, evolving scope and drive outcomes.

Responsibilities

  • Lead finance and operations analyses for provider economics and cost-of-care domains.
  • Develop and maintain financial models, forecasts, what-if analyses, and pro forma impact.
  • Translate findings into clear, decision-ready reports and executive narratives.
  • Lead reviews with client leadership and Cogitativo product managers.
  • Mentor analysts and ensure methodological reproducibility across projects.

Skills

SQL
Python
Healthcare finance
Budgeting & forecasting
Variance analysis
Pro forma modeling
Data visualization
Leadership & mentoring
Stakeholder communication

Education

Bachelor’s degree in finance, accounting, economics, healthcare administration, mathematics, statistics, or related field
Master’s degree (MBA, MHA, MPH, or quantitative discipline)

Job description

Cogitativo is a Berkeley-based leader in healthcare AI and data science platforms, bringing together nationally recognized physicians, peer-reviewed clinical researchers, seasoned healthcare operators, and expert data scientists to tackle the most complex challenges in healthcare administration. Our solutions are built through the collaboration of these experts, combining clinical insight, operational expertise, and data science innovation to deliver technology with measurable, real-world impact. Through its three integrated platforms — Vision, a precision health platform; Conciencia, an operational intelligence platform; and Cognitive CXO , a decision intelligence platform — Cogitativo provides AI-driven capabilities that modernize healthcare delivery.

Role Overview

We are seeking a Senior Manager, Medical Economics & Provider Analytics to lead the Cognitive CXO Product Suite’s provider economics and cost-of-care analytical domains.

This role sits at the intersection of finance, operations, and data science. Where a traditional analyst reports what the claims data says, you will act as a delivery systems performance partner to our clients — the analytical equivalent of a service-area operating senior leader — interpreting spend, utilization, and provider-network results the way a health system leader would, quantifying and identifying value, as well as turning findings into business cases and recommendations that health plan leadership can act on.

You will scale a reporting model already piloted, working hands-on with claims and provider data while guiding a small team of analysts and partnering with data engineers, product managers, and clinical subject matter experts. You will participate in the analytical narrative from raw billing records through executive-grade, decision-ready deliverables that surface provider panel consolidation, structural spend breaks, and rate-extraction patterns that traditional dashboards miss.

Cogitativo is fast-paced, and this role isn’t rigidly defined; you’ll be expected to make decisions independently, weigh competing priorities, and adapt as scope, geography, and client mix expand.

Here’s what you will do:
Financial and operational analysis
  • Serve as the delivery system finance and operations subject matter expert for the provider economics and cost-of-care domains, interpreting Community Care spend, utilization, and provider-network results the way COO/CFO would and framing findings in terms of budget impact, variance to expectation, and dollars at stake.
  • Lead variance and trend analysis of spend, volume, rate, and mix across assigned provider networks decomposing period-over-period change into volume, price/rate, intensity, and site-of-care drivers and separating structural shifts from noise.
  • Build and maintain financial models — forecasts, what-if scenarios, cost-avoidance and cost-recovery estimates, and pro forma impact analyses — that quantify the value of provider-contracting, referral-pattern, and network-configuration decisions.
  • Develop decision-ready business cases in partnership with client leadership and Cogitativo product managers, including quantified savings opportunities, operational and contractual considerations, and measurement plans for performance-improvement initiatives.
Provider economics and cost-of-care analytics
  • Partner with data engineers to design and scale ETL and aggregation pipelines supporting the Cognitive CXO Product Suite’s provider-contracting and cost-of-care domains, defining the financial metrics, aggregation logic, and validation rules the pipelines must produce.
  • Apply clinical and administrative data standards (e.g., ICD-10, CPT/HCPCS, SNOMED, place of service, revenue codes) so that financial findings remain clinically and operationally accurate.
Client advisory and executive communication
  • Translate findings into clear, decision-ready reports, visualizations, and narratives for CXO-level stakeholders —CFOs, CMOs, and, as the platform expands, other health plan executives. Lead reoccurring reviews of financial and operational results with client leadership.
  • Advise clients and Cogitativo leadership on reading and interpreting results, prioritizing opportunities, and improving financial and operational performance, building cross-functional support for recommended actions through analysis and influence rather than authority.
  • Contribute finance and operations domain expertise to the Cognitive CXO Product Suite roadmap, working with product management to turn repeatable analyses into productized capabilities.
Team leadership and analytical standards
  • Lead and mentor a small, growing team of healthcare data analysts as a hands-on player-coach: set analytical standards, review work for accuracy and financial rigor, and develop analysts’ finance and operations fluency.
  • Own documentation of methodology, defined terms, and financial assumptions so analyses stay reproducible and auditable as the reporting model extends.
  • Communicate analytic insights to teammates, product management, and both government and commercial clients.
Required Qualifications:
  • Bachelor’s degree in finance, accounting, economics, healthcare administration, mathematics, statistics, or a related field.
  • 8+ years of progressive experience in healthcare finance, financial planning and analysis, decision support, or analytics within a hospital, health system, health plan, or government/VA healthcare payer environment, including at least 3 years in a hospital or health system finance or operations role (e.g., decision support, FP&A, service-line finance, managed care contracting).
  • Hands-on experience developing budgets and forecasts, conducting variance analysis, and reviewing financial results with operating leaders; fluent in P&L line-item walk-forwards, volume/rate/mix decomposition, and pro forma modeling.
  • Demonstrated experience consulting to, or working directly with, clinical and administrative healthcare leadership, and influencing decisions through analysis rather than authority.
  • 2+ years leading, mentoring, or supervising analysts, formally or informally, while remaining hands-on with the data.
  • Proficiency with SQL and other database programming languages, and with Python for data manipulation and analysis.
  • Experience with data visualization tools and building executive-facing financial and operational reporting.
  • Working knowledge of healthcare claims data, provider reimbursement methodologies, and managed care cost-of-care concepts; VA Community Care experience a strong plus.
  • Understanding of provider contracting, affiliated-system economics, and health system financial statements.
  • Proficiency managing clinical data such as electronic medical records, and a demonstrated understanding of ontological systems and clinical coding standards.
  • Analytical mindset with strong problem-solving skills; comfortable with ambiguous, evolving scope.
  • Excellent written and verbal communication skills, with the ability to translate complex claims and financial data into narratives for non-technical, executive audiences.
  • Organizational savvy and strong interpersonal skills, with the ability to build trust with client finance and clinical leaders.
  • Track record of taking ownership, acting with urgency, putting stakeholders first, and looking into the future.
Preferred Qualifications:
  • Master’s degree (MBA, MHA, MPH, or a quantitative discipline) in finance, business, healthcare administration, or a related field.
  • Experience in a health plan or health system medical economics, network strategy, or decision support function, or at a healthcare analytics, consulting, or software company delivering analyses to external clients.
  • Familiarity with statistical analysis and modeling (e.g., trend and structural-break detection, regression) and with cloud data platforms.
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