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AI Solutions Lead

Biomedrealty

San Diego, CA, US$120k – $150konsite

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About this role

BioMed Realty is seeking an AI Solutions Lead to serve as the organization’s dedicated resource for the evaluation, deployment, and ongoing oversight of artificial intelligence tools across all business functions. This is a cross-functional, individual contributor role that bridges technology and operations, translating AI capability into practical, compliant, and measurable business value. The AI Solutions Lead will be responsible for monitoring the effectiveness of all currently deployed AI, researching and vetting emerging tools, collaborating with each department to design and deliver user training, and working alongside Legal and Compliance to ensure that the organization’s AI use meets applicable regulatory and contractual standards.

This role is pivotal as BioMed accelerates its AI adoption across Property Management & Operations, Accounting, Asset Management, Legal, Construction, and corporate functions. The ideal candidate is intellectually curious, operationally minded, and able to communicate equally well with property managers, accountants, engineers, and senior leadership.

This role is a key contributor to how senior management, the Board, and investors understand portfolio performance. The Analyst / Senior Analyst will transform leasing, occupancy, and development data into actionable analysis and reporting that supports executive decision-making.

Key Responsibilities

AI Portfolio Monitoring and Performance Management

• Maintain a current inventory of all AI tools and agentic workflows deployed across the organization, including vendor, use case, data inputs, business owner, and deployment date.

• Define and track key performance indicators for each deployed AI tool, time saved, error rate, adoption rate, cost per transaction and report findings to CTO on a regular cadence.

• Monitor AI outputs on an ongoing basis to detect performance degradation, model drift, hallucinations, or systematic errors; escalate material issues and coordinate remediation with vendors and affected departments.

• Conduct periodic reviews of deployed tools against evolving alternatives, recommending upgrades, replacements, or discontinuation as appropriate.

• Maintain documentation of prompts, configurations, exceptions, and change history for all deployed AI tools to support audit and compliance review.

Research, Evaluation, and Vendor Management

• Continuously monitor the AI tool landscape, including CRE-specific platforms, horizontal agentic frameworks, and ERP-embedded AI capabilities to identify emerging solutions relevant to BioMed’s operations.

• Develop and apply a standardized evaluation framework for new AI tools, assessing capability, data security posture, integration readiness, vendor stability, pricing, and contractual risk.

• Lead proof-of-concept and pilot engagements, defining success criteria, managing timelines, coordinating participating departments, and producing go/no-go recommendations.

• Build and maintain relationships with AI vendors, attend industry conferences and demonstrations, and serve as the organization’s primary point of contact for inbound vendor inquiries related to AI.

• Prepare concise evaluation summaries and business cases for leadership review, clearly articulating expected ROI, implementation effort, and risk.

Departmental Collaboration and Workflow Design

• Partner with department heads and functional leads across Accounting, Property Management & Operations, Asset Management, Legal, Leasing, HR, and IT to identify AI use cases, prioritize opportunities, and design AI-assisted workflows.

• Translate business requirements into AI tool configurations, prompt design, or workflow specifications, coordinating with vendors or internal IT for implementation.

• Serve as the internal subject matter expert and first point of escalation when department-level users encounter AI tool issues or performance concerns.

• Maintain BioMed’s internal AI roadmap, aligning near-term deployments with longer-term organizational strategy and technology infrastructure.

Training, Change Management, and Adoption

• Design and deliver role-specific AI training programs for each department, including onboarding for new tools, refresher training after material updates, and introductory sessions for new hires.

• Develop training materials including written guides, workflow diagrams, video walkthroughs, and quick-reference cards tailored to non-technical end users.

• Champion responsible AI use across the organization, helping staff understand both the value and the limitations of the tools they are using, including when human judgment must override an AI output.

• Gather and synthesize user feedback on deployed tools; use adoption data and qualitative input to improve training, configurations, and prioritization of new features.

• Establish and manage an internal AI user community or working group to facilitate cross-departmental knowledge sharing and surface new use case ideas.

Legal, Compliance, and Risk Management

• Partner with Legal and Compliance to develop, maintain, and enforce BioMed’s AI use policy, including acceptable use guidelines, data classification rules, and vendor approval requirements.

• Review vendor AI contracts and data processing agreements for provisions relevant to data security, model training on customer inputs, intellectual property, liability, and audit rights; escalate material concerns to Legal.

• Maintain awareness of applicable AI regulations, data privacy laws (CCPA, GDPR where relevant) and emerging state and federal AI legislation; proactively assess implications for BioMed’s deployed tools.

• Ensure that AI tools touching financial reporting, lease accounting, or other relevant processes are documented within the internal control framework and reviewed by internal audit on an appropriate cycle.

• Maintain records of AI-related risk assessments, compliance reviews, and vendor security evaluations sufficient to support i

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