Altorien Lockwood
San Francisco, CAStrategic finance professional with experience in R&D financial planning, infrastructure economics and financial modeling, including FP&A ownership of a $1.3B technology OpEx portfolio. I also build software and AI-assisted workflows, combining financial analysis with a practical interest in technology.
Experience
Rippling
Nov 2026 – PresentFinance partner to the R&D organization, owning the financial models behind infrastructure spend as the product portfolio moves into lines with different cost structures and pricing constructs.
- Own bottoms-up infrastructure forecasts and actuals tracking, translating cost drivers into narratives Engineering and Product leadership act on.
- Develop unit cost frameworks for product lines operating outside the current pricing model, including cost attribution and margin structure for AI-native product experiences.
- Partner with Engineering on infrastructure investment decisions and cost efficiency, and establish month-end reporting processes with Accounting.
Indeed
Oct 2024 – Nov 2026Sole FP&A owner for Business Technology & Transformation, a $1.3B annual OpEx portfolio spanning headcount and non-headcount spend across cloud, data infrastructure, SRE and AI compute.
- Owned the full planning and reporting cycle: annual operating plan, 18-month rolling forecast, monthly reforecast, and budget versus actuals.
- Built the AI compute unit economics model establishing roughly $2 to $3 of supporting infrastructure cost per $1 of direct LLM spend, and identified utilization as the primary risk driver in build-versus-rent decisions.
- Built the seat-level usage model that let Procurement commit to forecasted consumption in a vendor contract negotiation, securing a 12% discount.
- Replaced recurring manual analysis with governed Snowflake pipelines and automated SQL, plus the Tableau and Streamlit layer engineering leaders use for self-service visibility into spend against budget.
- Owned headcount planning and fully loaded run-rate builds by job profile and position: salary, sign-on, bonus and fringe.
Edrington
Jun 2023 – Sep 2024- Modeled revenue, margin, pricing and volume assumptions across the commercial portfolio, with scenario and sensitivity analysis on pricing strategy.
- Supported operating cash flow and working capital analysis, including vendor payment timing and balance sheet drivers.
- Built a real-time Power BI tracker integrating shipments, actuals and open orders for live revenue and fulfillment visibility.
Lendlease
Aug 2019 – Jun 2023- Owned full-cycle and project cost accounting for multi-year developments, including capitalization, cost-to-complete tracking and US GAAP financial statements.
- Partnered with project managers on budgeting, forecasting and cash flow planning, and with FP&A on variance analysis.
AI Engineering & Enablement
FP&Ai Weekly Stand Up
Recurring program getting an FP&A team onto agentic tooling: Claude Code extensions in Cursor, MCP server setup from the terminal, and governed Snowflake connections so analysts pull data through Claude instead of rebuilding variance waterfalls by hand.
Finance Agent Skill Library
Invokable skills encoding run-rate builds, budget template QA, Snowflake variance, ROI cases and post-investment lookback. Each is invoked by name and turns a single prompt into a formatted analysis, without the analyst writing any code.
ROI Calculation Engine
Shares a constants file and input contract with a parallel JavaScript engine, with numerical parity enforced by golden-fixture tests. Unsupported inputs raise rather than silently returning a different number than the web app.
Finance Chat API · Team MCP Servers
A service answering finance questions against the warehouse, with prompt, scope and routing in separate modules, plus MCP servers exposing governed finance data to AI agents.
Shipped Solo
Stock analysis progressive web app. Eight ratios and a plain-English grade for any US stock, benchmarked against its own sector rather than the whole market. No login.
Finds the flights that bring a group from different cities into one airport together, and prices what that closeness costs. 578 checks across 12 suites; the optimizer's objective is priced in stated units after measurement found it overpaying $387 to buy 45 minutes.
Technical Skills
- AI Development
- Claude Code (primary development environment, daily), Cursor, agent skill authoring (YAML + Markdown), MCP server development, prompt design, output evaluation and quality gating
- Python
- Streamlit, FastAPI, pandas, numpy, plotly, Anthropic SDK, snowflake-connector-python, type hints, test suites, shared engine modules, caching
- SQL & Data
- Advanced SQL (CTEs, window functions), Snowflake, governed data extraction, data definitions and refresh contracts
- Web & Version Control
- TypeScript, React / Next.js, JavaScript, HTML; Git (branches, pull requests, code review), GitHub Actions CI/CD, GitLab, Cloudflare Workers
- BI & Reporting
- Tableau, Power BI, Excel (Power Query, PivotTables, Macros), multi-tab formatted exports
- Finance
- Financial modeling, driver-based forecasting, OpEx and headcount planning, unit economics, ROI and payback analysis, revenue and margin modeling, US GAAP, R&D capitalization