Big-company FP&A has valuable lessons - but its processes are often responses to problems your business may not have.
What should an FP&A team borrow from Google, Netflix, and Roku, and what should it leave behind? In this episode of FP&A Today, Sarah Schlott speaks with Eric Lin, former Head of FP&A for Roku TV, about the difference between copying big-tech finance processes and building the decision-making foundations your business actually needs.
Eric describes his career shift from analysis to influence to decision architecture: shared metrics, explicit assumptions, clear ownership, driver-based forecasts, and an operating cadence that helps leaders respond when circumstances change. He explains why finance professionals need to understand their business deeply, prioritize the questions that affect decisions, and make recurring reporting efficient enough to leave time for forward-looking analysis.
The conversation also explores three layers of AI use in FP&A, the risks of automating weak data and inconsistent metrics, and what Eric would rebuild first if every finance report disappeared. His warning to smaller teams is simple: enterprise processes are often scar tissue from past failures. Copy the foundations that matter, not the bureaucracy built around someone else's problems.
Key Moments
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FP&A should improve decisions, not only produce analysis. Eric traces the evolution from analytical rigor to influence and ultimately decision architecture.
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Give every important decision a foundation. Shared metric definitions, explicit assumptions, data ownership, decision rights, and operating cadence matter more than a sophisticated planning platform.
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Understand the business before diving into the model. Go deepest on the assumptions and analyses that could change a meaningful decision; delegate routine work to a capable team.
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Make recurring reporting efficient. Close, board preparation, and earnings reporting are necessary, but they should not consume the time needed to understand the next quarter.
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Use AI to support better judgment. Production and diagnostic work can become faster, but AI-driven decision support requires trusted data, governance, and human ownership of trade-offs.
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Do not inherit big-company bureaucracy by default. Ask what failure a control or process was designed to prevent and whether that risk is material to your business.
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Start with cash and the drivers behind results. If the reports disappeared, Eric would restore cash-flow visibility first; he also values business KPIs that explain the P&L.
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Build FP&A around the decisions that matter. Start with a decision inventory, reliable actuals, business drivers, and a driver-based forecast before layering on specialization and technology.
Timestamps
02:08 - Why FP&A needs to evolve from analysis to decision architecture
05:40 - How junior analysts become more valuable business partners
08:10 - Knowing when to dive deep into the numbers
12:19 - Making reporting efficient to protect forward-looking work
16:54 - The three layers of AI in FP&A and why governance matters
23:39 - What to copy from big tech - and what bureaucracy to avoid
29:30 - If every report disappeared, start with cash flow
31:37 - KPIs versus the P&L: understanding what drives performance
35:07 - How Eric would build an FP&A team from scratch
42:31 - The Monday test: does your finance work drive impact?
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Further Reading / Listening
About Eric Lin
Eric Lin, former Head of FP&A for Roku TV, led the financial strategy and cross-functional business case for the Board-approved launch of Roku-branded TVs and helped scale the new business from $0 to $200 million in first-year revenue.
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