Senior Manager, AI Strategy & Business Development

What You'll Do Origination and Business Development · Identify and originate new AI opportunities within existing and prospective client accounts. · Partner closely with sales and account teams to develop account-specific AI growth strategies. · Build relationships with senior client stakeholders and uncover business challenges that can be addressed through AI. · Lead AI opportunity qualification, discovery, value articulation, and deal-shaping activities. · Help clients prioritize AI use cases based on business value, feasibility, adoption requirements, risk, and scalability. · Develop compelling AI narratives, points of view, and executive-level propositions that differentiate our capabilities in the market. · Expand our AI footprint within strategic accounts by moving conversations from isolated experimentation to broader transformation programs. · Maintain a strong understanding of the AI market, our technology partners’ evolving portfolios, client priorities, and competitive offerings. Presales and Solution Shaping · Lead executive discovery sessions, AI strategy workshops, innovation sessions, and solution envisioning engagements. · Translate business priorities into credible AI transformation roadmaps and actionable consulting opportunities. · Shape AI pursuits from initial client conversation through qualification, proposal development, oral presentations, negotiation, and transition to delivery. · Create and present business cases that connect AI investments to measurable business outcomes. · Collaborate with architects and subject matter experts to define solution approaches, estimates, delivery roadmaps, commercial models, assumptions, and risks. · Ensure proposed solutions are technically credible, commercially viable, and aligned with the client’s ability to adopt and scale AI. · Support proposal responses, executive presentations, demonstrations, proofs of concept, and client-facing solution narratives. · Work with our technology partners, including Microsoft and Databricks, to develop and advance joint AI opportunities. Executive Client Leadership · Act as a trusted AI advisor to C-suite and senior client stakeholders. · Help clients navigate the rapidly evolving AI landscape and distinguish practical opportunities from market hype. · Advise clients on AI strategy, operating models, adoption, governance, value realization, and responsible deployment. · Facilitate conversations that connect AI capabilities to business strategy, workforce transformation, customer experience, operational efficiency, and growth. · Build credibility with both business executives and senior technology leaders. · Maintain trusted client relationships beyond individual pursuits to support long-term account growth. AI Thought Leadership and Market Presence · Represent the Data & AI practice in client briefings, executive events, industry forums, and partner discussions. · Develop reusable points of view, offerings, demonstrations, and sales enablement materials. · Contribute to the evolution of our AI go-to-market strategy and priority solution plays. · Bring informed perspectives on Generative AI, Agentic AI, AI-enabled business processes, intelligent applications, and enterprise AI platforms. · Help sales and account teams confidently position AI capabilities and initiate meaningful conversations with their clients. · Coach consultants, architects, and sales professionals on AI storytelling, value articulation, and opportunity development. Delivery and Practice Collaboration · Apply practical delivery experience to ensure proposed AI solutions can move successfully from concept to production. · Provide senior oversight during the early stages of strategic AI engagements and support a strong transition from sales to delivery. · Participate in architecture and delivery reviews for high-profile or strategically important AI programs. · Help teams identify delivery risks, adoption barriers, data dependencies, governance requirements, and Responsible AI considerations. · Collaborate with AI engineers, data scientists, data engineers, architects, designers, change specialists, and industry experts. · Support the development of reusable AI accelerators, demonstrations, reference architectures, and industry solutions. What You'll Bring · 10 or more years of experience across Artificial Intelligence, Machine Learning, Data Science, advanced analytics, or related technology consulting disciplines. · Established professional credibility in AI, with the ability to engage confidently with senior business and technology executives. · Proven experience in consulting, professional services, technology advisory, or a comparable client-facing environment. · Demonstrated success in opportunity origination, presales, business development, solution selling, or consulting sales. · Experience shaping complex AI opportunities, including discovery, qualification, solution development, estimation, proposal creation, presentations, and commercial discussions.