Phillips Edison & Company is seeking a Lead, Data Readiness & Data Products to lead the enterprise data foundation that enables AI, advanced analytics, and automation at scale. This is a hands‑on executive role with clear accountability for delivery and outcomes.

Strategic Mandate

The Lead, Data Readiness & Data Products will:

• Establish enterprise standards for data used in AI, analytics, and automation
• Ensure data quality, ownership, and access are aligned to business decisions, not just reporting
• Enable rapid, responsible AI deployment while maintaining strong governance and risk controls
• Create reusable data products that reduce friction and accelerate value realization

Key Responsibilities

Enterprise Data Readiness Leadership

• Define and lead the enterprise data readiness strategy supporting AI, analytics, and automation.
• Establish a prioritized portfolio of enterprise data products (e.g., tenant, lease, unit, property, operations) that are reusable, governed, and decision‑ready.
• Set standards for data definitions, lineage, ownership, and quality across the organization.
• Ensure consistent entity resolution and interoperability across systems.

AI & Decision Enablement

• Partner with executive and business leaders to align data products with high‑value decisions and workflows.
• Enable both:
  • AI‑driven automation (document intelligence, task support, workflow augmentation)
  • AI‑driven decision support (predictions, recommendations, prioritization)
• Establish criteria for determining when data is appropriate for AI training vs. inference.

Data Quality, Ownership & Accountability

• Define data quality thresholds aligned to decision risk and materiality, not generic standards.
• Establish enterprise accountability for data quality, including business ownership and stewardship.
• Implement practical monitoring and escalation processes to resolve data issues quickly.

Governance, Risk & Compliance Partnership

• Partner closely with Legal, Compliance, Security, and technical governance teams to ensure:
  • Data usage complies with regulatory, contractual, and internal policy requirements
  • Access controls, auditability, and retention rules are embedded operationally
• Serve as an executive steward of responsible AI data practices.

Cross‑Functional Executive Partnership

• Act as the senior data readiness partner to:
  • Business and operations leadership
  • IT and AI engineering teams
  • Analytics and data science
  • Legal, compliance, and risk functions
• Drive alignment and decisions across competing priorities in a matrixed environment.

Value Delivery & Scale

• Enable early AI and automation pilots and help scale those that demonstrate value.
• Establish repeatable operating patterns so each new use case is faster, safer, and easier to deliver.
• Report progress and outcomes using business‑relevant metrics that leadership cares about.

Required Qualifications

Experience

• 12+ years of experience in enterprise data, analytics, data governance, or related disciplines.
• Demonstrated success leading cross‑functional data initiatives at scale.
• Experience operating in regulated, compliance‑sensitive, or public‑company environments strongly preferred.
• Experience enabling AI, advanced analytics, or decision intelligence capabilities preferred.

Leadership Capabilities

• Strong “data‑as‑a‑product” mindset with a bias toward execution.
• Proven ability to influence senior leaders across business, legal, and technology functions.
• Comfortable resolving ambiguity, tradeoffs, and resistance.
• Exceptional communication skills with executive presence.

Technical Fluency (Not a Coding Role)

• Familiarity with modern data platforms, integration patterns, and analytics architectures.
• Understanding of unstructured data management (e.g., contracts, documents) in controlled environments.
• Working knowledge of how AI systems consume data (training vs. inference, bias, drift, lineage).

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

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