Director, FP&A - Operations

OpenDoor; Toronto; On-site; CAD 130,000 - 160,000; Full time

Job summary

Dormont Manufacturing Co is looking for a Director of FP&A - Operations. This role involves partnering with Operations leaders, owning the Operations P&L, and driving financial modeling and insights. You will be in the Toronto office four days a week, requiring candidates to be within commuting distance.

The ideal candidate will have over 10 years of finance experience, especially in a high-growth setting, with a strong grasp of SQL, operational metrics, and AI technologies to enhance finance workflows.

Qualifications

• 10+ years of finance experience as an embedded FP&A partner.
• Deep expertise in driver-based modeling and unit economics.
• Strong SQL skills with experience in data warehouse.

Responsibilities

• Serve as finance partner to Operations leaders.
• Own the Operations P&L: forecasting and variance analysis.
• Build capacity and operating expense models.

Skills

Finance experience

SQL skills

Driver-based modeling

AI automation

Excellent communication

Tools

Google Sheets

Snowflake

Python

Job description

About Opendoor

At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It’s how people build wealth, stability, and community. It’s how families put down roots, how neighborhoods strengthen, how the future gets built. We’re building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.

About the role

As Director of FP&A - Operations, you are the finance leader for the teams that help prepare every Opendoor home for sale to a new family. You partner directly with senior operators across Acquisition Operations, Home Sale Prep, and Resale, and you own the P&L, capacity, and unit economics they are accountable to.

This is a hands‑on financial engineering role. You have a history in FP&A and the capacity and technical skill set to drive complex AI workflows and automation to deliver real time insights to decision makers.

What You’ll Do

• Serve as the embedded finance partner to Operations leaders in their weekly reviews, planning cycles, and operating decisions
• Own the Operations P&L: forecasting, BvA, variance analysis, and the weekly narrative on cost-to-serve and unit economics
• Build and maintain the capacity, headcount, and operating expense models that scale Operations as volume grows
• Connect operational levers: clearance, DOM, cycle time, fall‑through, renovation spend, and vendor cost to P&L outcomes that leaders can act on
• Build models in Google Sheets and Claude, and design AI‑powered automation to compress reporting cycles, and free up time for judgment work
• Partner with Accounting on monthly close for Operations cost centers, ensuring data integrity and audit readiness

What You’ll Need

• 10+ years of finance experience, with significant time as an embedded FP&A partner to an operations organization at a high‑growth or tech‑enabled company
• Deep expertise in driver‑based modeling, capacity planning, and unit economics
• Strong SQL skills with experience working directly in a modern data warehouse (Snowflake preferred)
• AI‑native mindset, with real examples of using LLMs and automation to improve finance workflows, not just curiosity, but actual shipped work
• Experience owning a full P&L: forecasting, BvA, variance analysis, and translating operational metrics into financial outcomes
• Excellent communication, sound judgment, and a direct, low‑ego working style

Bonus Points

• Working knowledge of Python and version control (GitHub)
• Experience with Adaptive or similar planning software (Anaplan, Planful)
• Background in real estate, proptech, or marketplace businesses
• Experience scaling finance processes alongside a fast‑growing operations org (you’ve built the models that didn’t exist yet, not just maintained inherited ones)

Location

This role is based in our downtown Toronto office, in-person four days per week (Monday, Tuesday, Thursday, Friday). Candidates must be based within commuting distance of the office.