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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