AI Business Engagement Lead

Leidos

19d

About The Position

The Leidos Chief Data & Analytics Office (CDAO) is a new, high-growth organization at the center of the company’s technology strategy. Our Operational AI (Ops.AI) division is seeking a senior division leader to serve as the AI Business Engagement Lead, accountable for shaping and scaling the business demand, customer adoption, and revenue growth of our Generative AI, Agentic AI and broader modern AI service offerings. This role is the executive bridge between business-centered/mission-focused customer needs and Leidos’ technical capabilities; translating customer problems into solution strategies, accelerating deployments, capture and pipeline conversion while ensuring Ops.AI solutions deliver measurable operational outcomes. This position will act as a change agent and thought leader, representing Ops.AI in executive client engagements, strategic partner negotiations, and industry forums. Success requires strong executive presence, deep understanding of AI solution value drivers, experience operating in regulated environments, and a proven ability to build durable relationships across business development, service delivery, product engineering, and external partners. This role directly supports enterprise AI adoption, workforce AI proficiency, and business strategy alignment goals for Ops.AI.

Requirements

Bachelor’s degree in Business, IT, Engineering, or related field and 12+ years of experience in business engagement, solution consulting, growth strategy, capture, or client-facing technical leadership roles (additional experience may be considered in lieu of degree per equivalency guidelines).
Demonstrated ability to translate business needs into technical requirements and solution strategies that drive measurable outcomes.
Proven experience influencing and advising executive stakeholders (internal and external), including C-level leadership.
Strong foundation in AI/ML and data analytics concepts, with demonstrated capability positioning Generative AI solutions to customers.
Excellent communication, presentation, and interpersonal skills; ability to lead structured discovery, executive workshops, and value-case development.
Must be a U.S. Citizen and able to obtain and maintain a U.S. security clearance.

Nice To Haves

Experience building and scaling AI/GenAI offerings in government, defense, intelligence, or other regulated industries.
Experience in pre-RFx campaigns, solution consulting, technical business development, or capture leadership with demonstrated pipeline/revenue performance.
Demonstrated partner development experience with hyper-scalers and major AI platform providers strategic partnerships, joint ventures, startups, etc.).
Familiarity with trusted/responsible AI practices, AI risk management, and compliance expectations in federal/government contexts.
Existing active clearance (Secret or Top Secret).

Responsibilities

Business Engagement & Growth Leadership: Own executive-level business engagement strategy for Ops.AI AI offerings, partnering with Growth/BD and CXOs to identify, qualify, and mature high-value opportunities from prospects through early-stage discovery to award and expansion.
Go-to-Market (GTM) Strategy & Offer Positioning: Define and continuously refine Modern AI value propositions, packaging, and differentiation; ensuring compelling, compliant, and outcomes-based communications for DoD, IC, FedCiv and regulated markets.
Pipeline & Revenue Acceleration: Drive measurable pipeline growth and conversion by leading discovery workshops, shaping solution narratives, and aligning stakeholder value cases, pricing assumptions, and deliverable outcomes with customer priorities.
Strategic Alliances & Partner Ecosystem: Build and govern strategic alliances with hyper-scalers, technology vendors, and research partners to strengthen delivery capability, accelerate innovation, and expand addressable market.
Multi-industry Thought Leadership: Serve as a visible, credible AI evangelist; representing CDAO/Ops.AI in industry forums, client executive briefings, and internal leadership discussions; translate technical capabilities into mission and business outcomes.
Customer-Centered Solution Shaping: Lead the translation of customer problems into actionable solution requirements (business, functional, non-functional, etc.), including adoption needs, data readiness, security/compliance constraints, and success metrics.
Outcome Measurement & Value Realization: Partner with delivery leaders to define and track outcome metrics (mission impact, cycle-time reduction, throughput enhancement, risk reduction, user adoption, etc.) demonstrating business value post-deployment.
Responsible AI & Risk Awareness: Ensure engagement strategies incorporate responsible AI expectations and align with security/compliance constraints appropriate for DoD, IC and FedCiv missions (secure environments, regulated data, and AI lifecycle controls, etc.).