Summary

Reporting to the Director FP&A, the Senior Assistant Director, FP&A is accountable for building and scaling AI-powered FP&A capabilities, driving automated reporting, predictive forecasting, scenario modelling, and insight generation across the enterprise. A*STAR is recognized by many accountancy organizations: ISCA, ACCA, CPA Australia, and ICAEW. 

Key Responsibilities:

Predictive Forecasting & Modelling

• 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

Automation & Self-Service Analytics

• 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).

Data Governance & Quality

• 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.

Stakeholder Management & Change Adoption

• Translate complex analytics into business-friendly narratives and decision-ready insights for Finance leadership, BU heads, and Sales Ops.
• Run change management (training, playbooks, adoption KPIs) to embed new tools and ways of working.
• Prioritize the analytics backlog based on measurable business impact (time-to-insight, accuracy, cost-to-serve).

Performance & Program Governance

• Define and track OKRs for AI & automation initiatives—time saved, forecast accuracy improvements, cycle time reduction, and user adoption.
• Run agile cadences (backlog grooming, sprint reviews, release notes) and manage vendor/contractor deliverables.
• Ensure ethical and compliant AI usage (bias checks, explainability, data privacy, access controls).

Qualifications & Skills:

• 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)