Senior Director, National Security Graph Analytics & AI Growth chez Redhorsecorp

The Senior Director, Graph Analytics & AI Growth leads a cross‑functional growth campaign centered on data analytics and artificial intelligence for our National Security business unit. This leader owns the full go‑to‑market lifecycle—marketing, business development, capture, solution development, proposal development, project transition, and client success—while driving cross‑sell into adjacent business units. The role is accountable for building trusted executive relationships, shaping differentiated solutions, winning strategic programs, and ensuring flawless transition to delivery with measurable mission impact.

Top Outcomes

Build a qualified pipeline across DoD, IC, and federal law‑enforcement accounts;

Land 3–5 flagship wins for Graph Analytics + AI solutions; establish 2+ lighthouse references with measurable mission outcomes.

Publish a field‑tested, security‑compliant reference architecture for National Security KG + AI (Neo4j/Hume, Senzing, Databricks/Spark, LLM Ops/agents) and integrate into proposals, demos, and delivery playbooks.

Stand up a partner ecosystem (e.g., graph, ER, data/ML, cloud) with joint pipelines and co‑marketing.

Drive cross‑sell motions yielding new revenue in sourced or influenced revenue into adjacent business units.

Maintain delivery handoff excellence (on‑time kickoff, staffing readiness, KPI baselines set, and 90‑day success plans for every win) and continued relationship management.

Responsibilities

Own messaging for KG + AI in National Security; create compelling narratives, solution briefs, and executive presentations.

Recommend and represent the company at priority forums (e.g., GEOINT, AFCEA events, SOF community venues); deliver talks, publish white papers, and generate demand.

Shape and qualify opportunities; lead account strategy, call plans, stakeholder mapping, and competitive positioning.

Run capture from gate reviews through pricing strategy, teaming, color‑team reviews, and negotiation.

Lead solutioning for graph‑centric analytics: KG modeling and governance, entity resolution, data fabric/mesh patterns, LLM Ops/agentic AI, and graph data science.

Orchestrate winning proposals (volumes, staffing plans, resumes, past performance, BOE/ROM); ensure clarity, compliance, and compelling value.

Partner with Pricing/Contracts to optimize price‑to‑win while protecting delivery quality.

Drive structured win‑to‑delivery transition: kickoff readiness, delivery governance, risk registers, KPIs/OKRs, and 30/60/90‑day plans.

Establish executive relationship management and cadence reviews; sponsor issue resolution and expansion roadmaps.

Create repeatable offerings and playbooks usable by adjacent business units; incubate joint pursuits and account‑based plays.

Track sourced vs. influenced revenue and enforce CRM hygiene and forecast accuracy.

Coordinate and manage strategic growth alliances (graph platforms, ER, ML/AI, cloud/hyperscalers) in coordination with CTO; build joint solutions and co‑sell motions.

Curate demo assets and mission‑relevant datasets for rapid prototyping.

Required Qualifications

10+ years in National Security (DoD/IC/LE) technology services with 5+ years leading end‑to‑end growth (BD, capture, solution, proposal, and transition).

Executive presence with outstanding storytelling, negotiation, and relationship‑building skills.

Hands‑on experience with with programs utilizing graph analytics/graph data science, entity resolution, data engineering at scale, and LLM/agentic AI patterns.

Proven record of winning complex, multi‑year programs and converting wins into successful delivery outcomes.

Mastery of capture/proposal methods, price‑to‑win, teaming, and color‑team leadership.

Bachelor’s in a relevant field; equivalent experience considered.

Preferred Qualifications

TS/SCI (active or recent) or eligibility to obtain

Experience with GraphAware Hume, LLM Ops/guardrails, retrieval over graphs, knowledge as a product, data mesh/fabric, and secure LLM runtime enclaves.

Familiarity with IDIQ/BPA/OTA environments and managing GWAC/IDIQ pipelines.

MBA or MS in CS/Data/AI; prior P&L or practice leadership.

Key Competencies

Trust‑based client leadership and stakeholder empathy.

Solution fluency across graph modeling, ER, AI/ML, and secure cloud architectures.

Operational rigor: stage‑gate governance, forecast accuracy, and disciplined handoffs to delivery.

Collaboration first: convenes CTO, Delivery, Contracts, Pricing, Talent, Marketing, and adjacent BUs to win and deliver.

Outcome orientation: ties solutions to mission KPIs (speed‑to‑insight, accuracy, survivability, analyst productivity).

Measures of Success (KPIs)

Qualified pipeline ($, stage mix), win rate, average sales cycle time.

Bookings vs. target; revenue and gross margin on won programs.

Cross‑sell revenue and multi‑BU attach rate.

Proposal quality scores and color‑team pass rates.

Transition metrics (on‑time kickoff, staffing SLA, risk burndown) and client satisfaction/CPARS.

Thought‑leadership output and partner‑sourced opportunities.

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