Director, V&A Product

Job Title

Job Description

Cushman & Wakefield’s Global Technology & Data Solutions (TDS) organization designs and scales secure, intelligent platforms that power client service delivery across our global real estate portfolio. TDS builds modern technology ecosystems that integrate data, digital experiences, and AI driven capabilities to streamline operations, unlock insights, and elevate the client and occupant experience.

As a Product Leader within V&A Technology, you will own the strategy, delivery, and evolution of best in class, internally built products that enable Valuations & Advisory (V&A) teams and clients to execute day to day real estate work with greater speed, efficiency, and insight. These products span workflow enablement, operational tooling, data intelligence, and emerging AI powered agents.

The Director, V&A Product is accountable for the end‑to‑end product lifecycle for one or more strategic V&A technology platforms—from vision and roadmap through delivery, adoption, and long‑term value realization.

This role goes beyond traditional product ownership. You will:

• Lead and mentor product managers and delivery partners
• Direct cross‑functional teams to deliver enterprise‑grade tools
• Drive AI‑enabled innovation through partnerships with Engineering, Data, and Business Intelligence teams
• Serve as a senior interface between business leadership and the TDS enterprise

You will also lead vendor relationships and influence technology contracts, ensuring partners deliver high‑quality outcomes aligned to product strategy, security standards, and cost expectations.

• Define and continuously evolve the product vision, roadmap, and success metrics for V&A technology platforms, aligned to enterprise TDS strategy and business priorities.
• Establish a clear point of view on how internal tools, data products, and AI capabilities enable operational efficiency, insight generation, and differentiated client outcomes.
• Balance near‑term delivery with long‑term platform sustainability, scalability, and interoperability across the TDS ecosystem.
• Identify opportunities to productize internal capabilities into reusable, scalable solutions across service lines and clients.
• Hold final decision-making authority over product vision, priorities, and roadmap decisions, while sharing influence over technology direction with the V&A Technology leader and architects.

• Lead, mentor, and grow a high‑performing product team, setting clear expectations, standards, and outcomes.
• Create strong operating rhythms across product discovery, delivery, and release management.
• Provide clarity and direction that enables engineering, data, and design teams to deliver predictably and with high quality.
• Foster a culture of accountability, collaboration, and continuous improvement.

• Translate complex business needs into clear epics, user stories, and acceptance criteria grounded in measurable outcomes.
• Partner with internal software engineering, data, and Business Intelligence teams, as well as third‑party vendors, to deliver secure, reliable, and scalable solutions.
• Drive delivery across multiple workstreams, managing dependencies, risks, and trade‑offs.
• Operate within a release cadence, and leverage a dedicated UAT resource today with scope to expand as more of the build moves in-house.

• Partner with Data, Business Intelligence, and Engineering teams to design and deliver AI agents, data products, and intelligent workflows that enhance decision‑making and operational efficiency.
• Ensure AI‑enabled solutions are secure, explainable, and aligned to enterprise data governance and privacy standards.
• Champion telemetry‑driven product management—using usage data, performance metrics, and insights to continuously improve products.
• Partner with the Services business AI leader on AI deployment and opportunity identification, while retaining product decision‑making authority.

• Act as a senior product partner across the TDS enterprise, aligning V&A priorities with shared platforms, architecture standards, and roadmaps.
• Partner closely with:
  • Sales & Solutions
  • TDS PMO
  • Product Leads across TDS
  • Business Intelligence
  • Software Engineering and Data Teams
• Provide crisp, executive‑ready communication on roadmap progress, KPIs/OKRs, risks, and investment trade‑offs.
• Serve as a trusted advisor to senior stakeholders, translating business strategy into technology execution.

• Lead and manage strategic vendors and select technology contracts, ensuring delivery quality, cost effectiveness, and alignment to product objectives.
• Hold partners accountable to outcomes, security standards, and delivery commitments.
• Make collaborative and informed build‑vs‑buy recommendations grounded in long‑term product and platform strategy, by engaging relevant stakeholders.

• Maintain authoritative product documentation including workflows, data flows, decision records, and release notes.
• Ensure products adhere to SDLC, security, compliance, and data privacy requirements.
• Work within a delivery governance model, alongside the dedicated PMO, helping define an appropriate internal governance model as more of the build moves in-house.

• Comfortable operating in a global, matrixed organization across time zones.
• Strong bias toward measurable outcomes, adoption, and business value.

Commitment to engineering quality, data integrity, and secure‑by‑default delivery.

Cushman & Wakefield is an equal opportunity / affirmative action employer. All qualified candidates will receive consideration for employment without regard to ethnicity, gender, gender identity or expression, sexual orientation, age, disability, religion, marital status, or any other legally protected characteristic. Cushman & Wakefield is committed to equity in employment, and our goal is to have a diverse, inclusive and barrier-free workplace. If you are a person with a disability and need any other accessible accommodations during the hiring process, you are invited to bring this to the Talent Acquisition Advisor’s attention once they have made contact.

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
• 8+ years of experience in product management or product ownership, including leadership of complex, enterprise‑scale platforms.
• Demonstrated success delivering internal and client‑facing technology products in real estate, professional services, or similarly complex operating environments.
• Experience partnering with engineering, data, and BI teams to deliver analytics, data products, and AI‑enabled solutions.
• Proven experience managing vendors and technology delivery partners.

• Strategic product leader with strong systems thinking and execution discipline.
• Deep understanding of modern software, data platforms, APIs, and cloud‑native architectures.
• Pragmatic decision‑maker who balances speed, quality, security, and sustainability.
• Exceptional communicator who translates ambiguity into action and aligns diverse stakeholders.
• Trusted leader who builds high‑performing teams and strong cross‑functional partnerships.