VP / Head of AI · Product & Engineering

Enterprise AI.
Built, scaled,
and measured.

Enterprise AI · Agentic Systems · Product Leadership

Turns emerging model capabilities into scaled enterprise platforms and substantial business value. Originated, built, or advised 15+ AI initiatives while shaping Prudential’s AI strategy and operating model across millions of interactions.

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2M+

Annual AI interactions

Enterprise systems used daily across Service and Claims

15+

Enterprise AI initiatives

Customer service, self-service, knowledge, analytics, governance, and agents

$50M+

AUM directly attributed

Customer-facing Retirement Location Planner

50–70

Cross-functional scope

Enterprise contributors directed across the AI portfolio

Selected Enterprise Outcomes

Scaled Operations

AVA

Challenge — Give Service and Claims professionals fast, reliable answers inside regulated workflows.

System — Enterprise AI platform owned end-to-end across strategy, roadmap, architecture, vendors, budget, and delivery.

2M+ annual interactions · ~100K hours of service capacity · 70% lower operating cost

Organizational Intelligence

Agentic Networking

Challenge — Tacit knowledge lives in people and meetings, while static documentation decays.

System — Persistent per-person agents exchange scoped context and executable skills across a peer-to-peer expertise network.

12-person executive-sponsored pilot · contributor ramp-up compressed from months to days

Customer GenAI

Retirement Location Planner

Challenge — Translate subjective retirement preferences into personalized, actionable guidance.

System — Conversational GenAI experience conceived and prototyped before ChatGPT; publicly launched April 2023.

$50M+ in directly attributed AUM

Professional Experience

2020 — Present

Prudential Financial

Draper, UT · U.S. Business Technology

Director, Data Science

Enterprise AI portfolio leadership. Originated, built, or advised 15+ initiatives; own strategy, roadmap, budget, vendors, risk, and delivery; lead 6 direct reports and direct 50–70 cross-functional contributors.

AVA. Conceived and own the primary daily AI platform for Service and Claims: 2M+ annual interactions, a 3-minute reduction in average handle time—equivalent to ~100,000 hours of annual service capacity—and 70% lower operating cost.

Artemis + Agentic Networking. Designed and deployed a persistent enterprise agent harness and peer-to-peer knowledge network whose pilot transfers tacit context and executable expertise across teams, reducing contributor ramp-up from months to days.

Pruplexity, Sierra, and GenAI Labs. Launched Prudential’s first production agentic platform; own core layers of its customer telephony AI; founded its executive-sponsored applied GenAI lab and authored its first Responsible AI standards.

Retirement Location Planner. Conceived and prototyped before ChatGPT; publicly launched in April 2023 and drove $50M+ in directly attributed AUM.

Oct '25 — Feb '26

Galaxy (getgalaxy.io)

New York, NY · Contract

Founding Data Scientist

Independently designed and shipped a multi-agent knowledge-extraction and ontology platform in ~1 month; the company pivoted around it as its core product. Processed gigabyte-to-terabyte heterogeneous datasets through staged agent extraction and validation with deterministic graph construction.

2024 — 2025

Open-Air

Agent Infrastructure

Co-Founder

Defined architecture for agent discovery, collaboration, and secure transactions across graph-based networks.

Authored a May 2024 white paper on interoperable multi-agent infrastructure.

2018 — 2019

Point72 Asset Management

New York, NY · $1.8B TMT portfolio

Quantitative Developer

Sole quant developer; built 50+ applications spanning research, analyst workflows, automated strategies, portfolio analytics, and options-book risk management.

Developed strategies with ~$50M allocated capital and a low-latency earnings pipeline whose signal informed a human-reviewed trade generating approximately $150M in P&L.

2017 — 2018

AT&T

Bedminster, NJ

Lead Data Scientist

Developed and productionized an LSTM-based named-entity recognition platform for PII detection and redaction; integrated it with enterprise security infrastructure.

Artemis — Production Proof of Work

An enterprise agent harness—not the headline, but proof of how David builds.

Artemis combines persistent memory, context-inheriting subagents, self-improvement workflows, dynamic skills, and native peer-to-peer networking. It is deployed at Prudential as the runtime underlying the Agentic Networking pilot.

PersistentMemory and reusable organizational context

AdaptiveDynamic skills plus Sleep / Grow improvement workflows

NetworkedScoped context and executable expertise exchanged peer-to-peer

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Ask Artemis anything about David.

Ask about David’s enterprise AI portfolio, product leadership, agent architecture, or prior work across Prudential, Point72, Galaxy, and AT&T. This live proxy is backed by structured context about his work.

Let's talk about what AI can do for your organization.

David combines executive ownership of AI strategy, product portfolios, teams, vendors, governance, and delivery with hands-on depth in production agent architectures.

Interested in a VP/Head of AI role, applied AI strategy, or an Artemis demonstration? Reach out directly.

Enterprise AI.Built, scaled,and measured.