Lead Product Manager – Graph Platform & AI Integration

Title

Lead Product Manager – Graph Platform & AI Integration

Location

Rockville, MD or McLean, VA

Target Start Date

ASAP

Type

: contract

Pay

Rate

: DOE

Overview

We are seeking an experienced Lead Product Manager to drive the strategy and execution of a next-generation Graph Platform and AI-powered intelligence ecosystem. This role sits at the intersection of regulatory operations, data intelligence, and generative AI, enabling a shift from reactive to proactive decision-making across the enterprise.

You will define how graph-based intelligence and AI systems work together to uncover complex relationships, accelerate investigations, and deliver actionable insights at scale. This is a highly strategic role with enterprise-wide impact, shaping how advanced data platforms are leveraged to solve critical business and regulatory challenges.

Role Responsibilities

Product Strategy & Vision

• Own the product vision, strategy, and roadmap for the Graph Platform and AI-Graph integration initiatives
• Define how graph technology, search, and AI capabilities combine to power intelligent workflows and decision-making
• Drive the evolution from reactive data analysis to proactive insight generation

Graph & AI Platform Development

• Lead development of graph-based intelligence systems that surface relationships, patterns, and anomalies across complex datasets
• Define use cases for graph in:
• Information retrieval and search
• Entity resolution and relationship mapping
• Document processing and intelligence extraction
• Oversee integration of graph capabilities with AI-driven platforms and applications

Enterprise Platform Ownership

• Build and scale a platform offering that can be leveraged across multiple internal teams
• Establish best practices for how users interact with graph, search, and AI systems
• Ensure the platform serves a diverse set of users, from technical teams to business stakeholders

Cross-Functional Leadership

• Partner closely with engineering teams (including graph platform teams), AI teams, and data teams to deliver scalable solutions
• Collaborate with business leaders and operational users to understand workflows and translate needs into product capabilities
• Act as the bridge between technical development and business adoption

Stakeholder Engagement & Adoption

• Guide internal users on how to effectively leverage graph and AI capabilities
• Drive adoption through strong product positioning, communication, and enablement
• Influence stakeholders across multiple levels, including senior leadership and enterprise users

Key Qualifications

• 10+ years of Product Management experience

, with a focus on enterprise or platform products

• Strong experience with graph technologies

, such as Neo4j (experience with Amazon Neptune or similar is a plus)

• Proven ability to build products leveraging:
• Data platforms and large-scale datasets
• Search and information retrieval systems
• AI/ML or generative AI capabilities
• Deep understanding of:
• Graph data modeling and relationship-based analytics
• How graph enhances intelligence systems and investigative workflows
• Enterprise data ecosystems and platform architecture
• Experience working cross-functionally with:
• Engineering and data teams
• Business stakeholders and operational users
• AI or advanced analytics teams
• Strong ability to:
• Translate complex technical concepts into business value
• Drive product adoption across diverse user groups
• Operate with autonomy and influence at scale

Preferred Qualifications

• Experience building AI-enabled or data intelligence platforms
• Background in highly regulated or data-intensive environments
• Familiarity with enterprise search, knowledge graphs, or document intelligence systems
• Experience supporting investigative, analytical, or risk-based workflows

Impact of the Role

• Enable a shift from reactive workflows to proactive intelligence and insight generation
• Empower teams to identify hidden patterns, relationships, and risks through graph-based analytics
• Define how AI and data platforms converge to support enterprise-wide decision-making
• Drive adoption