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A*STAR

Senior Assistant Director - FP&A (AI Data Analytics & Automation)

A*STAR
ResearchSingaporeFull-time2 weeks ago
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About the role

AI summarised

The Senior Assistant Director of FP&A at A*STAR is responsible for building and scaling AI-powered FP&A capabilities, including predictive forecasting, automated reporting, and self-service analytics. This role involves designing predictive models, automating management reports, ensuring data governance, and driving change adoption across the enterprise. The ideal candidate has 6-10 years of experience in FP&A or data analytics, with a strong background in financial modeling, BI tools, and automation technologies.

ResearchFull-timeFinance

Key Responsibilities

  • Design, validate, and operationalize predictive models for Revenue, Cost of Sales, Opex, Working Capital, and Cash Flow.
  • Build driver-based forecasting and scenario analysis (e.g., Headcount, Grants Secured & Pipeline etc…).
  • Implement model monitoring (accuracy, drift, recalibration cadence) and document assumptions for auditability.
  • Provide any ad-hoc financial management reports and financial analysis
  • Develop and maintain enterprise-wide dashboards for self-help management reporting
  • Automate monthly/quarterly Management Reports, variance analysis, and KPI dashboards using RPA, low-code tools, and data pipelines.
  • Establish standardized metric definitions and data lineage for finance reporting (single source of truth).
  • Enable finance teams with self-service analytics (Power BI/Planning Solution + governed data marts).
  • Partner with Data Engineering to define finance data models, transformation logic, and master data (CoA, CRM, Grants Portal…).
  • Implement quality checks (reconciliation rules, anomaly detection, data completeness/consistency).
  • Maintain model documentation, version control, and access governance aligned with finance control frameworks.
  • Translate complex analytics into business-friendly narratives and decision-ready insights for Finance leadership, BU heads, and Sales Ops.

Requirements

  • Bachelor's degree in Finance, Accounting, Economics, Data Science, or Engineering.
  • 6 to 10 years experience in FP&A, Finance Transformation, or Data Analytics; at least 2 to 3 years leading automation or predictive analytics initiatives.
  • Demonstrated success implementing forecasting models, BI dashboards, or RPA in a corporate finance context.
  • Strong knowledge of financial statements, consolidation, and performance metrics.
  • Strong financial modelling and analytical skills.
  • Advanced proficiency in Excel, ERP systems (S4/Hana, Planning Software), and BI tools, and AI-driven reporting, forecasting and automation technologies.
  • Open to Singaporeans and Singapore Permanent Residents (PRs).