GTM Leader - AI & Digital Engineering

We are looking for a dynamic, growth-oriented GTM Leader - AI & Digital Engineering to drive market expansion, revenue growth, and strategic client engagement across North America for our AI & Data Engineering practice. This is a strategic leadership opportunity for a commercially driven professional with a strong understanding of AI, data engineering, analytics, and digital transformation. The ideal candidate will combine market-facing leadership, consultative solutioning, strategic deal shaping, and executive relationship management to build differentiated offerings, accelerate business growth, and strengthen our market presence. The role will work closely with sales, client partners, solution architects, technology leaders, and global delivery teams to identify new opportunities, develop compelling value propositions, win strategic engagements, and deliver sustainable business outcomes. Key Responsibilities 1. Go-to-Market Strategy & Business Growth Define and execute GTM strategies to accelerate the growth of AI, Data Engineering, Insights & Analytics, and Digital Engineering services across North America. Drive revenue growth, pipeline development, market penetration, and practice profitability in alignment with business objectives. Identify emerging market opportunities, industry trends, and client needs to develop differentiated service offerings and new revenue streams. Partner with sales and client leaders to develop account growth strategies, strengthen client relationships, and expand market share. 2. Solution Strategy & Commercialization Develop, position, and commercialize solutions across AI/ML, Generative AI, agentic AI, modern data platforms, data engineering, enterprise analytics, and digital transformation. Translate business challenges into compelling technology propositions, industry-specific solutions, and measurable client outcomes. Lead client discovery sessions, executive workshops, solution roadmap discussions, and consultative engagements. Enable sales and client partner teams with differentiated offerings, value propositions, solution narratives, and go-to-market assets. 3. Strategic Deal Shaping & Business Development Lead large and strategic deal pursuits, including opportunity qualification, solution strategy, deal shaping, proposal development, executive presentations, and commercial positioning. Collaborate with sales, solutioning, and delivery teams to develop competitive solutions and improve deal conversion rates. Identify opportunities for new client acquisition, strategic account expansion, and cross-selling of AI and Data Engineering services. Build strong relationships with key decision-makers and influence technology investments and transformation priorities. 4. Executive Client Engagement Establish and nurture trusted relationships with C-suite executives, business leaders, and technology stakeholders. Act as a strategic advisor to clients, connecting business priorities with AI, data, analytics, and digital engineering capabilities. Champion customer success by ensuring proposed solutions deliver business value, innovation, and measurable outcomes. Strengthen client partnerships and identify opportunities for long-term strategic engagements. 5. Global Practice & Delivery Leadership Build, scale, and enable high-performing technology and consulting teams across North America, India, Europe, and nearshore delivery locations. Work closely with global delivery and technology leaders to ensure effective solution execution, delivery excellence, and client satisfaction. Drive collaboration across sales, consulting, engineering, and program management teams to support scalable and profitable growth. Develop leadership capabilities, foster innovation, and build a culture of accountability, collaboration, and continuous improvement. 6. Market Positioning & Thought Leadership Strengthen the practice's market positioning through differentiated offerings, industry-specific propositions, strategic partnerships, and client success stories. Collaborate with alliance, marketing, and analyst relations teams to amplify market presence and develop compelling thought leadership. Represent the organization at industry events, client forums, executive roundtables, and other strategic market engagements. Monitor emerging technology trends and competitive dynamics to continuously evolve the practice's GTM strategy. Required Qualifications & Experience 16-18+ years of experience in IT services, technology consulting, AI, data engineering, analytics, or digital transformation, with significant experience in GTM, practice leadership, or business development. Demonstrated success in driving revenue growth, building qualified pipelines, winning strategic deals, and expanding technology services businesses. Strong understanding of AI/ML, Generative AI, data engineering, modern data platforms, enterprise analytics, and digital engineering capabilities. Experience developing GTM strategies, commercializing technology offerings, and translating technology capabilities into business value. Proven track record of leading large deal pursuits, consultative solutioning, executive presentations, and complex client engagements. Strong executive presence and experience building relationships with C-suite stakeholders and senior decision-makers. Experience collaborating with global delivery teams and leading multidisciplinary teams across geographies. Understanding of cloud ecosystems, including AWS, Microsoft Azure, or Google Cloud, and modern data and analytics platforms. Excellent communication, negotiation, strategic thinking, and stakeholder management skills. Preferred Qualifications Experience in a technology services or consulting organization serving enterprise clients across North America. Proven experience in P&L management, revenue forecasting, pipeline governance, and business planning. Established relationships with enterprise clients and experience driving strategic account growth. Exposure to hyperscaler alliances, technology partnerships, and joint go-to-market initiatives. Experience across industries such as Banking & Financial Services, Healthcare, Retail, Manufacturing, or other enterprise sectors. Bachelor's degree in Computer Science, Engineering, Information Technology, Business, or a related field. An advanced degree or relevant professional certifications is a plus. What Success Looks Like Accelerated revenue growth and improved profitability across the practice. A strong, qualified pipeline and increased success in winning strategic engagements. Differentiated, market-relevant AI and Data Engineering offerings that create competitive advantage. Strong executive client relationships and sustainable account expansion. Effective alignment across GTM, sales, solutioning, alliances, and global delivery teams. Increased market visibility and recognition for the practice's capabilities. Join Us If you are a strategic, market-facing leader passionate about taking AI and digital engineering capabilities to market, building executive relationships, winning transformative deals, and driving business growth, we would love to hear from you. #J-18808-Ljbffr Brillio