VP, Business Intelligence & Analytics | Mission Driven Housing Tech | OR (Hybrid)

Acumen • Portland, OR

18d • Hybrid

About The Position

OneApp is seeking a Vice President, Business Intelligence & Analytics to build and lead an enterprise-wide business intelligence function. Reporting initially to the COO, this executive will develop OneApp’s existing data capabilities into trusted, proactive, decision-oriented intelligence across the renter, partner, product, and business lifecycle. The role is focused on establishing the strategy, governance, operating model, talent structure, and executive decision-support capability needed to help the company scale responsibly while advancing its housing-access mission.

The successful candidate will connect data to consequential business questions, clarify tradeoffs, surface risks and opportunities, and ensure insights lead to accountable action and learning. The role requires building or materially transforming an enterprise BI or analytics function and influencing across business and technical teams. The leader should be technically fluent in areas such as data models, semantic layers, SQL, BI tools, data quality, governance, and analytical methods, but is not expected to be the primary hands-on engineer or own production engineering and architecture.

The position is based in the Portland metropolitan area and is hybrid. Candidates must currently reside in the Portland metropolitan area and be legally authorized to work in the United States without current or future employer sponsorship.

Requirements

• Approximately 10 or more years of experience in business intelligence, enterprise analytics, strategic analytics, decision support, or a closely related discipline.
• A record of building or materially transforming a BI or analytics function, including its team, roadmap, governance, stakeholder model, and adoption.
• Strong business and financial acumen, with demonstrated influence across Finance, Operations, Product, Engineering, go-to-market, and customer-facing teams.
• Executive-level judgment and communication, including the ability to frame tradeoffs, challenge assumptions, and turn complex analysis into clear decisions.
• Strong analytical judgment across experimentation, cohorts, leading indicators, predictive methods, causality, and intervention measurement.
• Experience recruiting and developing talent, establishing standards, and increasing organizational data fluency and adoption.
• A hands-on builder mindset suited to a scaling, high-growth environment.
• Technical fluency in data models, semantic layers, SQL, BI tools, data quality, governance, and analytical methods sufficient to evaluate work, set standards, identify risk, and partner with technical teams.
• Current residence in the Portland metropolitan area.
• Legal authorization to work in the United States without current or future employer sponsorship.

Responsibilities

• Define the enterprise BI strategy, 12-month roadmap, operating model, governance framework, and quality standards.
• Establish shared KPI definitions, ownership, documentation, and trusted sources of truth across the company.
• Prioritize consequential analytical questions and connect renter, partner, product, go-to-market, risk, operational, and financial signals.
• Build an executive business-health view and proactive monitoring to surface material changes, opportunities, risks, and tradeoffs.
• Translate analysis into clear recommendations, accountable action, and measurable learning.
• Partner with Product and Engineering on instrumentation, data quality, architecture dependencies, and technical enablement.
• Design and build the BI team, analyst structure, tooling, operating cadence, and talent strategy as the capability matures.
• Create an enterprise partnership model in which BI connects, synthesizes, challenges, and measures while functional leaders retain ownership of decisions and execution.
• Assess the current data, reporting, analytics, talent, and decision-making environment; confirm the BI charter, decision rights, roadmap, KPI governance, data dependencies, team design, and tooling plan.
• Launch governed KPIs and an executive business-health view, implement proactive monitoring, deliver at least two high-value cross-functional use cases, add approved analyst capacity, and establish a repeatable operating cadence.
• Expand predictive and self-service intelligence, build specialized analytical capacity, mature the operating model, and help evaluate the long-term structure for enterprise analytics and organizational consolidation.

Benefits

• Unlimited paid time off.
• A personal wellness benefit with a monthly allowance.
• Flexible, hybrid work.
• Comprehensive medical, dental, and vision coverage for employees and their families.
• 401K retirement plan.
• Meaningful participation in the company’s success.
• Top-of-the-line equipment and software.
• Potential eligibility for an LTIP tied to the company achieving its goals.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: No Education Listed