Machinify

Director | Analytics and Business Optimization

Palo Alto, California, United States

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, Artificial Intelligence, SoftwareIndustries

Requirements

Candidates must possess a degree in a quantitative field such as Statistics, Economics, Operations Research, Data Analytics, or Engineering. A minimum of 10 years of experience in analytics, business intelligence, or quantitative consulting is required, with at least 5 years in a leadership role, ideally within a start-up or growth-stage company. Technical proficiency in SQL/Python and experience interacting with modern database systems are essential. A proven track record of delivering high-impact analyses, driving measurable business improvements, and experience designing/building core data sets, dashboards, and BI infrastructure are necessary. Strong financial modeling and simulation skills are also required.

Responsibilities

The Director of Analytics and Business Optimization will lead the design, execution, and scaling of the analytics function, initially driving high-impact analyses for business optimization and eventually building and leading a team. Responsibilities include performing end-to-end analytics across payment operations, chart review workflows, and customer performance metrics to identify optimization opportunities. The role involves designing foundational data assets, building and maintaining base data sets, aggregates, and pipelines, and creating business dashboards in partnership with engineering and product teams. The Director will also run simulations and financial models to predict the impact of business decisions, deliver ad hoc insights to answer urgent questions, and collaborate cross-functionally to translate business problems into analytical approaches. Additionally, the role includes hiring, mentoring, and managing a team of analysts, and establishing best practices in analytics to promote data-driven decision-making and a culture of accountability and innovation.

Skills

Analytics
Business Optimization
Data Analysis
AI
Machine Learning
Healthcare Claims
Payment Operations
Leadership
Team Building
Strategic Planning
Operational Improvement
Data Visualization
SQL
Python

Machinify

AI-driven solutions for healthcare administration

About Machinify

Machinify provides AI-driven solutions to improve decision-making in the healthcare industry. Its platform helps health plans, payers, and providers optimize their operations, particularly in areas like claims processing and utilization management. The applications offered by Machinify can be quickly deployed, allowing clients to see immediate returns on investment. This focus on rapid implementation sets Machinify apart from competitors, as healthcare organizations increasingly seek cost efficiency and better patient outcomes. The company's goal is to enhance operational efficiency and help clients manage healthcare expenditures more effectively.

Palo Alto, CaliforniaHeadquarters
2016Year Founded
$15.2MTotal Funding
SERIES_ACompany Stage
AI & Machine Learning, HealthcareIndustries
51-200Employees

Benefits

Medical, dental, & vision
Flexible work environment
Generous PTO
Competitive salary
Equity
401(k)
Sponsorship
Generous L&D Reimbursement policy

Risks

Integration challenges with Evolent Health could disrupt Machinify's operations.
Slow adoption of new technologies in healthcare may hinder Machinify's rapid deployment.
Reliance on a few large clients poses a risk if they switch providers.

Differentiation

Machinify leverages AI to optimize healthcare decision-making and administrative processes.
The company offers rapid deployment of AI applications for immediate ROI in healthcare.
Machinify's AI platform addresses the entire healthcare claims lifecycle efficiently.

Upsides

AI-driven automation in healthcare claims processing is gaining significant traction.
The healthcare AI market is projected to reach $45.2 billion by 2026.
Machinify's AI solutions reduce administrative costs and improve patient care access.

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