Lead the evolution of our custom Salesforce system, architecting, managing, and delivering solutions that empower every area of our business.
Compensation
Hiring salary range for this position is between $140,000 – $150,000.
Responsibilities
Drive Custom Salesforce Development
Champion Integration and Modernization
Strategic Partnership
Full Lifecycle Ownership
Technical Leadership
Requirements
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or an equivalent combination of education and significant, relevant professional experience
Nice to have: Experience with Kinaxis and/or SAP development
The typical pay range for this role is: $111,240.00 - $222,480.00
Responsibilities
Lead and participate in the development, validation, and delivery of algorithms, statistical models, and reporting tools to solve complex analytical problems.
Develop and apply algorithms and statistical predictive models to evaluate scenarios and potential future outcomes.
Analyze structured and unstructured data using advanced statistical techniques and mathematical methods.
Collaborate with business partners to understand problems and goals and develop predictive models, statistical analyses, data reports, and performance metrics.
Develop and participate in presentations and consultations with internal and external stakeholders regarding analytics results and solutions.
Requirements
Master's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
Design, develop, and maintain enterprise data platforms, data pipelines, and data warehouse solutions supporting healthcare analytics, reporting, and conversational AI applications.
Responsibilities
Design, develop, and maintain scalable ETL/ELT data pipelines.
Build cloud-based data engineering solutions using GCP and AWS.
Develop and maintain data models using Star and Snowflake schemas.
Design enterprise data warehouse architecture and data integration strategies.
Define and implement traditional and cloud-based ETL processes.
Owning technical deployments of an AI-powered revenue platform in enterprise customer environments, turning complex data into verified models and production agent workflows.
Compensation
Base salary: $180,000 to $250,000 annually.
Responsibilities
Lead customer onboarding by scoping data access, exploring undocumented warehouses, and mapping schemas to business concepts such as churn, expansion, and recurring revenue.
Build and validate semantic models by interviewing stakeholders, reconciling definitions, and encoding business logic in verified SQL.
Deploy platform workflows and agent pipelines into customer environments, then monitor their performance and outcomes.
Manage multiple customer engagements, collaborating with customer data and engineering teams while doing hands-on data work.
Use internal agent tooling and share feedback on evaluation guardrails, validation frameworks, and agent infrastructure.
Requirements
quantitative STEM degree or equivalent foundations
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