Director, AI Practice - Development, Growth, & Strategic Partnerships
at Longview International Technology Solutions
- Seniority
- Director Plus
- Work model
- Remote
- Location
- United States - Remote
- Posted
- 5d ago
at Longview International Technology Solutions
<p></p> <p> </p> <p><strong>LTS</strong> is seeking an accomplished, entrepreneurial AI growth leader to establish, commercialize, and scale our AI services practice. The <strong>Director, AI Practice - Development, Growth, and Strategic Partnerships</strong> will personally drive the work required to build the practice—developing qualified pipeline, shaping, and winning strategic opportunities, creating market-ready offerings, and activating partnerships that expand LTS' capabilities, market reach, and revenue.</p> <p>This is not a traditional people-management role or a relationship-only business development position. We are looking for a hands-on practice builder who has grown an AI consulting, professional services, or technology business and is prepared to do the work directly: open doors, develop offerings, cultivate partners, shape solutions, write and lead pursuits, and move opportunities from initial conversation through award and transition to delivery.</p> <p>The ideal candidate combines commercial leadership with credible technical fluency. They can engage executives, mission and business leaders, product firms, cloud providers, architects, and delivery teams; frame customer challenges as practical AI opportunities; and lead those opportunities from market development through capture and transition to delivery.</p> <p>Working closely with the EVP, AI and LTS executive leadership, this individual will help define the company's AI growth agenda and build a differentiated practice serving federal, public sector, healthcare, and commercial markets. The role is designed for a senior individual contributor who leads through personal execution, relationships, judgment, and measurable results, not through layers of staff.</p> <p><strong>What You'll Do:</strong></p> <p><strong>Own AI Practice Growth</strong><br>• Personally own and execute the growth strategy, pipeline, bookings, revenue, and market expansion goals for LTS' AI practice.<br>• Identify, qualify, shape, and pursue strategic AI consulting, implementation, and technology-enabled services opportunities.<br>• Actively use established customer, industry, and partner relationships to create access, schedule conversations, accelerate opportunity development, and generate qualified demand.<br>• Build executive-level relationships with customer decision-makers, mission and business leaders, technology executives, and procurement stakeholders.<br>• Maintain disciplined opportunity and pipeline management, including growth forecasts, pursuit priorities, investment decisions, and measurable performance reporting.</p> <p><strong>Build and Commercialize the Practice</strong><br>• Personally develop and commercialize repeatable AI service offerings, accelerators, sales materials, and solution plays aligned with customer needs, market demand, and LTS' technical capabilities.<br>• Define go-to-market strategies, target markets, buyer personas, value propositions, pricing approaches, and routes to market for the AI portfolio.<br>• Translate emerging AI capabilities into clear, outcome-focused offerings that can be sold, delivered, scaled, and expanded across accounts.<br>• Partner with the EVP, AI, architects, engineers, delivery leaders, and account executives to align the AI roadmap with market opportunities and client priorities.<br>• Establish the operating cadence, growth metrics, and repeatable methods needed to mature the practice from early opportunities into a sustainable line of business.</p> <p><strong>Lead Strategic Partnerships</strong><br>• Personally establish and deepen relationships with leading AI product firms, foundation-model providers, cloud platforms, data and software companies, and systems integrators.<br>• Understand partner programs, alliance models, co-sell motions, channel structures, marketplace opportunities, certifications, and partnership tiers—and translate them into business advantage for LTS.<br>• Develop joint solutions, go-to-market plans, demonstrations, and pursuit strategies with strategic technology partners.<br>• Negotiate and activate partnerships that expand LTS' capabilities, improve competitive positioning, create qualified pipeline, and accelerate customer adoption.<br>• Maintain senior relationships within relevant AI and product companies and serve as LTS' executive point of contact across the partner ecosystem.</p> <p><strong>Drive Capture and Win Strategy</strong><br>• Lead opportunity qualification, customer shaping, capture planning, competitive positioning, teaming, and win-strategy development for priority AI pursuits.<br>• Roll up your sleeves to own the business narrative and contribute directly to proposal strategy, solution framing, executive summaries, technical content, reviews, and oral presentations.<br>• Bring together customer needs, LTS capabilities, partner technologies, pricing considerations, and delivery realities to shape differentiated and executable solutions.<br>• Collaborate with growth, contracts, pricing, delivery, and technical subject-matter experts throughout the pursuit lifecycle and support a disciplined transition from award to delivery.<br>• Represent LTS in executive briefings, demonstrations, conferences, industry forums, webinars, and thought-leadership opportunities.</p> <p><strong>Provide Market and Solution Leadership</strong><br>• Serve as a technically credible growth leader with practical knowledge of generative AI, large language models (LLM), retrieval-augmented generation, agentic AI, machine learning, intelligent automation, advanced analytics, and enterprise AI platforms.<br>• Serve as a trusted technical Advisor to LTS AI initiatives, helping project teams apply current industry standards, technologies, architectures and leading practices to deliver secure, responsible and effective AI solutions.<br>• Help customers evaluate use cases, expected outcomes, implementation approaches, data readiness, governance, responsible AI, securi