Dalfen is seeking a VP, Data Product & Business Solutions - to design and deliver an AI-enabled operating system for how the firm works, makes decisions, and scales execution across the business. Reporting to the Chief Technology Officer, the VP will serve as a forward-deployed business solutions leader who partners directly with executives and operators to translate real business workflows into practical AI, data, and automation solutions.
Position ResponsibilitiesLead the Forward-Deployed Business Solutions Model - Work directly with business leaders and operators across Acquisitions, Property Management, Leasing, Investments, Asset Management, Accounting, Capital Markets, Portfolio Management, Legal, and Development.
- Understand current workflows, pain points, manual work, data gaps, decision points, and adoption barriers.
- Translate business problems into clear use cases, solution concepts, requirements, prototypes, acceptance criteria, and rollout plans.
- Own intake and prioritization for AI, automation, workflow improvement, and business solution opportunities.
- Build a repeatable operating model for moving from problem discovery to prototype, MVP, production handoff, adoption, and value tracking.
Build Practical First Versions of Solutions - Personally build or assemble early working solutions using AI, automation, data, low-code, no-code, and modern enterprise tools.
- Create prototypes for AI assistants, document processing, workflow automations, internal forms, lightweight apps, decision support tools, and business process improvements.
- Get solutions far enough along that business users can react to something real, not just a requirements document.
- Partner with Technology and Data Platform teams to productionize durable solutions with the right security, data architecture, support model, and governance.
- Avoid building shadow systems by handing durable data and platform requirements back into the Data Platform lane.
Own AI and Automation Use Cases - Build and manage the AI and automation backlog in partnership with the CTO and business leaders.
- Prioritize use cases based on value, feasibility, data readiness, risk, adoption, and speed to impact.
- Develop practical AI-enabled workflows for areas such as lease abstraction, broker package ingestion, IC memo support, due diligence summarization, portfolio Q&A, AR workflows, COI tracking, vendor onboarding, and document-heavy processes.
- Use appropriate human review, accuracy checks, privacy controls, and responsible AI practices.
- Manage the AI & Automation Engineer once hired and help shape that role's backlog and delivery model.
Partner with Data Platform and Technology - Work closely with the VP, Data Analytics to ensure business solutions use trusted data and align with the software, the warehouse, reporting, and governance standards.
- Define what data is needed, what business logic matters, and what outputs are useful to the business.
- Support software adoption by tying data products, dashboards, and workflows to real business outcomes.
- Help clarify what should be solved through reporting, what should be solved through workflow automation, what should be solved through AI, and what should be solved through process change.
- Partner with vendors and internal teams without allowing vendors to own the business roadmap, product judgment, or operating model.
Drive Adoption and Measurable Value - Run demos, working sessions, feedback loops, and adoption reviews with business teams.
- Make business users feel heard and involved while still pushing for standardization and scalable solutions.
- Create lightweight documentation, training, and operating playbooks for new workflows and tools.
- Measure adoption, usage, cycle-time improvement, manual work reduction, quality improvement, and business value.
- Ensure new solutions become part of how the business works, not side tools that sit unused.
Skills & Experience- 10+ years of experience in product management, AI/automation, digital transformation, operations technology, enterprise systems, or business solutions leadership.
- Proven experience working directly with business leaders to understand workflows, decision-making processes, and operational needs.
- Demonstrated ability to translate ambiguous business problems into functional solutions, prototypes, and delivery roadmaps.
- Hands-on experience building or assembling AI-enabled workflows, automations, low-code applications, or internal business tools.
- Strong understanding of AI technologies, including prompt engineering, agents, retrieval-augmented generation (RAG), workflow automation, and human-in-the-loop systems.
- Comfort with enterprise tools such as Microsoft Copilot, Power Platform, Azure AI, Microsoft 365, and modern AI platforms like OpenAI and Anthropic Claude.
- Strong executive communication, stakeholder management, and change management skills.
- Ability to operate in a fast-paced, entrepreneurial environment requiring both strategic thinking and hands-on execution.
- Experience in commercial real estate, private equity, asset management, or finance preferred.
