Offerpad Appoints Dr. Jai Singh as Chief Pricing and Analytics Officer to Lead AI-Driven Pricing and Portfolio Strategy

Key Terms

artificial intelligence technical

Artificial intelligence is the ability of computers and machines to perform tasks that typically require human thinking, such as understanding language, recognizing patterns, or making decisions. For investors, it matters because AI can enhance efficiency, uncover new insights, and enable smarter strategies, potentially impacting the value and performance of companies that develop or utilize this technology.

machine learning technical

Machine learning is a set of computer programs that learn patterns from large amounts of data and improve their predictions or decisions over time, like a recipe that gets better each time it’s adjusted based on taste tests. For investors it matters because these systems can speed up analysis, spot trends or risks humans might miss, automate routine work, and potentially create competitive advantages or cost savings that affect a company’s performance.

automated valuation models financial

Automated valuation models are computer programs that use algorithms and market data to produce quick, standardized estimates of an asset’s value—like a calculator-based appraisal instead of a human one. They matter to investors because these estimates are often used for pricing, portfolio decisions and risk checks; however, they rely on the quality of inputs and assumptions, so their results are best treated as one tool among many.

econometric modeling technical

Econometric modeling is the use of statistical tools to test ideas about how economic factors—like prices, sales, interest rates, or unemployment—relate to each other, turning data into measurable relationships. For investors it matters because these models provide evidence-based forecasts and scenario tests (like a weather forecast for the economy), helping estimate risks, value assets, and judge whether market moves or company results are likely driven by lasting trends or short-term noise.

quantitative methodologies technical

Quantitative methodologies are mathematical and statistical tools used to measure, model and predict financial or clinical outcomes from numerical data. Think of them as recipes or maps made from numbers—algorithms, formulas and metrics—that help investors estimate value, forecast risk and compare alternatives in a structured, repeatable way. They matter because they turn raw data into actionable signals, but their reliability depends on the quality of the data and the assumptions behind the model.

enterprise risk management financial

Enterprise Risk Management is a process companies use to identify, assess, and prepare for potential problems that could disrupt their success, like financial losses or reputation damage. It’s like a safety plan that helps a business stay strong and adapt quickly when unexpected challenges come up. This helps the company protect its future and keep running smoothly.

TEMPE, Ariz.--(BUSINESS WIRE)-- Offerpad Solutions Inc. (NYSE: OPAD) today announced the appointment of Dr. Jai Singh as Chief Pricing and Analytics Officer, reflecting an expanded mandate to accelerate the company’s AI-driven pricing, portfolio management, and marketing optimization initiatives as Offerpad continues to scale its multi-solution real estate platform.

Dr. Jai Singh - Offerpad Chief Pricing and Analytics Officer

Dr. Singh has extensive financial and analytical leadership experience, with a background spanning senior roles across investment management and global financial services organizations, including Morgan Stanley. In this role, he will oversee the continued evolution of the company's pricing infrastructure, portfolio management systems, and asset disposition strategies, with particular focus on artificial intelligence and machine learning applications. His responsibilities encompass advancing automated valuation models, offer construction intelligence, and data-driven portfolio decisioning to enhance pricing accuracy, transaction velocity, and enterprise risk management.

A Wharton MBA in Finance, Dr. Singh will also lead the expansion of Offerpad's data-driven marketing framework, applying advanced analytics, econometric modeling, and quantitative methodologies to optimize marketing efficiency and strengthen capital allocation discipline across the organization.

“This role reflects the growing importance of AI-driven decisioning across our operating platform,” said Brian Bair, Founder and CEO of Offerpad. “Jai will lead the decision infrastructure that supports smarter pricing, portfolio management, and end-to-end execution across Offerpad.”

The appointment follows Offerpad’s January announcement of Rich Ford as President of Cash Offer Marketplace and Chief Strategy Officer, as well as the Q4 2025 appointment of Chris Carpenter as Chief Operating Officer, reinforcing the company’s broader leadership build-out across pricing, marketplace liquidity, and platform execution.

This leadership structure supports Offerpad’s continued focus on strengthening its technology-enabled operating platform and expanding capital-efficient transaction channels anchored by its Cash Offer foundation.

To learn more about Offerpad’s management team, visit: https://investor.offerpad.com/governance/management/default.aspx

About Offerpad

Offerpad Solutions Inc. (NYSE: OPAD) is a digital real estate solutions company focused on giving homeowners more control, flexibility, and choice when buying and selling a home. Offerpad provides Cash Offers, HomePro listing services, access to additional cash buyers through marketplace-enabled capabilities, and renovation services that support both internal transactions and third-party partners.

Founded in 2015, the company combines proprietary technology with local real estate expertise to simplify the home sale process and reduce friction across the transaction lifecycle, helping customers move forward with speed, transparency, and confidence.

Forward-Looking Statements

This release contains "forward-looking statements" made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. These statements are typically preceded by words such as "believes," "expects," "anticipates," "intends," "will," "may," "should," or similar expressions. These forward-looking statements reflect management's current knowledge, assumptions, judgment and expectations regarding future performance or events. Although management believes that the expectations reflected in such statements are reasonable, they give no assurance that such expectations will prove to be correct or that those goals will be achieved, and you should be aware that actual results could differ materially from those contained in the forward-looking statements. Forward-looking statements are subject to a number of risks and uncertainties, including, but not limited to, risks associated with market conditions, the Company's ability to execute on its strategic initiatives, competition, and general economic conditions affecting the residential real estate industry. For a further description of the risks and uncertainties that could cause actual results to differ from those expressed in these forward-looking statements, as well as risks relating to the Company's business in general, please refer to the Company's Annual Report on Form 10-K for the year ended December 31, 2024, the Company's Quarterly Reports on Form 10-Q for the quarters ended March 31, 2025, June 30, 2025 and September 30, 2025, and the Company's other reports filed with the SEC. All forward-looking statements are expressly qualified in their entirety by this cautionary notice. You are cautioned not to place undue reliance on any forward-looking statements, which speak only as of the date of this release. The Company has no obligation, and expressly disclaims any obligation, to update, revise or correct any of the forward-looking statements, whether as a result of new information, future events or otherwise.

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Investors & Media

Cortney Read

VP, Investor Relations & Communications

investors@offerpad.com or press@offerpad.com

Source: Offerpad