About the Team:
The Finance team spans FP&A, corporate development, and business operations, combining financial rigor with deep technical context. From shaping the company’s long-term strategy to supporting capital raises and driving operational insights, this team sits at the center of critical decision-making. With a small, high-impact team, you’ll have the opportunity to stretch across disciplines, influence the trajectory of the company, and deliver meaningful value back into the business every day.
About the Role:
As a Senior Data & AI Analytics Developer II you will be responsible for the development of enterprise-scale BI solutions that drive financial visibility and decision-making across Finance, Accounting, and partner organizations. This includes building complex data models, developing AI-driven reporting experiences, and defining our AI Analytics architecture. Operating with a high degree of autonomy, you are expected to own large-scale projects end-to-end, influence department-level BI strategy, and serve as a technical anchor and mentor for the broader team.
- Architect and govern AI-powered analytics solutions across the organization — including deploying and optimizing Agentic BI platforms like Aperium to replace traditional BI dashboards with conversational, AI-driven insights and self-service analytics
- Design and implement AI-native reporting experiences that deliver operational and financial insights for Finance, Accounting, and leadership — enabling natural language querying, automated insight generation, and intelligent data exploration
- Own the end-to-end development of analytical data models and dashboards, including requirements gathering, data modeling, dashboard design, validation, and ongoing enhancements
- Develop complex SQL transformations to build reliable models from multiple source systems (ERP, MES, HRIS), ensuring accuracy through robust testing and reconciliation
- Communicate findings, model logic, and analytics roadmap clearly to both technical peers and executive audiences; drive alignment across Data Engineering and Finance stakeholders on data architecture decisions
- Monitor solution performance, data freshness, and usability to ensure AI Analytics products remain reliable and actionable
- Champion a culture of quality, documentation, and continuous improvement within the team
About You:
- 7+ years of experience in data modeling and business intelligence, including at least 2 years focused on financial or accounting data
- Experience implementing or working with AI-powered analytics tools (Aperium, Tableau Pulse, ThoughtSpot, or similar agentic BI platforms)
- Expertise in SQL and working with ERP data systems
- Experience using GitLab, dbt, and CI/CD pipelines for data workflow automation
- Strong understanding of semantic layers and data structures optimized for AI model consumption
- Expert in data visualization, data storytelling, and Microsoft Office applications
- Excellent communication and leadership skills to document models, define metrics, and train end users
Nice to Haves (but not required):
- Experience with Infor LN or comparable ERP systems
- Experience in aerospace or manufacturing industries
- Background in Power BI or traditional BI tools (helpful for migration/replacement projects)
- Familiarity with LLM capabilities, prompt engineering, or RAG architecture