Summary
Worldwide Clinical Trials is a global contract research organization focused on improving patient lives through innovative, high-quality clinical research services. The Forward Deployed Engineer will build AI-powered finance tools, partnering with finance stakeholders to improve close activities, financial analysis, planning, reconciliation, and access to governed financial data.
Responsibilities
- Build AI-assisted variance commentary and close-checklist solutions that generate draft insights from financial data and identify key business drivers
- Develop experiences using Databricks Genie and governed finance data to enable analysts to explore information through natural language
- Partner with FP&A Analysts and Project Financial Analysts to deliver tools that improve efficiency and enhance financial decision-making
- Measure and report solution adoption, usage, and productivity gains to demonstrate business impact
- Create assistive reconciliation capabilities that support finance teams while preserving human ownership of controls and approvals
- Design and deliver AI-enabled applications using Databricks, Python, and modern LLM technologies
- Ensure solutions align with governance requirements by maintaining clear separation between AI-generated recommendations and financial control activities
- Collaborate with finance stakeholders to understand processes, close cycles, planning activities, and reporting needs
Skills
- Bachelor's degree in Finance, Accounting, Computer Science, Information Systems, Engineering, or a related field, or equivalent relevant experience
- 2+ years of hands-on experience with Databricks and building data-driven solutions
- 2+ years of LLM application engineering experience, including prompt engineering, context engineering, retrieval, structured outputs, and evaluation
- 2+ years of experience using Python and sufficient full-stack development skills to deliver production-ready applications
- 2+ years of experience working within or closely alongside Finance teams, with knowledge of FP&A processes, monthly close activities, budgeting, forecasting, variance analysis, and revenue recognition fundamentals
- Experience working with finance systems and governed financial data, including platforms such as NetSuite, Certinia, and Workday Adaptive Planning
- Proficiency in English
- Familiarity with Microsoft 365 and Copilot, MLflow, Databricks Vector Search, Databricks Genie, Genie Code, and/or GenieOne
- CRO or pharma-services experience
- SOX exposure
Qualifications
Must Haves
- Bachelor's degree in Finance, Accounting, Computer Science, Information Systems, Engineering, or a related field, or equivalent relevant experience
- 2+ years of hands-on experience with Databricks and building data-driven solutions
- 2+ years of LLM application engineering experience, including prompt engineering, context engineering, retrieval, structured outputs, and evaluation
- 2+ years of experience using Python and sufficient full-stack development skills to deliver production-ready applications
- 2+ years of experience working within or closely alongside Finance teams, with knowledge of FP&A processes, monthly close activities, budgeting, forecasting, variance analysis, and revenue recognition fundamentals
- Experience working with finance systems and governed financial data, including platforms such as NetSuite, Certinia, and Workday Adaptive Planning
- Proficiency in English
Nice to Haves
- Familiarity with Microsoft 365 and Copilot, MLflow, Databricks Vector Search, Databricks Genie, Genie Code, and/or GenieOne
- CRO or pharma-services experience
- SOX exposure
Benefits
- This is a REMOTE role open to candidates based in US.
- In addition to base salary, we offer a competitive benefits package depending on location.