Presales lead - life sciences & technology ai

<p> Years of Experience : 7-10 yrs </p> <p> Key Skills </p> <p> Life Sciences Domain Expertise </p> Strong understanding of the end-to-end Life Sciences value chain including: Commercial Clinical Development Research &amp; Discovery Medical Affairs Pharmacovigilance Regulatory Manufacturing &amp; Supply Chain Ability to connect cross-functional business processes and identify enterprise-wide transformation opportunities. <p> Presales &amp; Consulting Leadership </p> Proven experience leading strategic pursuits, opportunity shaping, and complex deal solutioning for global Life Sciences organizations. Expertise in conducting executive discovery workshops, business consulting engagements, and C-level client interactions. Experience owning large RFP/RFI responses, proposals, solution architecture, commercial models, and value-based consulting. Strong executive communication, negotiation, stakeholder management, and consulting skills. <p> AI &amp; Digital Transformation </p> Deep understanding of Enterprise AI, Agentic AI, Generative AI, and Digital Transformation within Life Sciences. Experience shaping AI-led solutions across: Commercial Excellence Clinical Development Research &amp; Discovery Medical Affairs Enterprise Data &amp; Analytics Familiarity with AI technologies including: LLMs RAG AI Agents Copilots Enterprise Search Knowledge Graphs AI Governance Responsible AI <p> Technology &amp; Platforms </p> Understanding of modern enterprise technology platforms including: Veeva Suite Salesforce Life Sciences Cloud Databricks Snowflake Azure AWS Microsoft Fabric Power BI Knowledge of cloud data platforms, enterprise architecture, APIs, and integration patterns. <p> GTM &amp; Market Strategy </p> Experience developing industry GTM strategies, solution portfolios, reusable assets, accelerator frameworks, and thought leadership. Ability to identify whitespace opportunities, emerging market trends, and competitive differentiation. Strong commercial acumen with experience in pricing strategy, business case development, ROI modeling, and value realization. <p> Leadership &amp; Collaboration </p> Experience leading multidisciplinary teams comprising domain consultants, solution architects, AI specialists, and technology SMEs. Ability to mentor consultants and establish a high-performing opportunity shaping function. Excellent written and verbal communication, storytelling, executive presentation, and facilitation skills. <p> Job Description </p> Lead the Pitch Lab – Opportunity Shaping Office responsible for strategic presales across Commercial, Clinical, Research, and Technology domains within Life Sciences. Partner with Sales, Account Management, Practice Leaders, and Delivery teams to shape high-value opportunities and develop differentiated solution strategies. Drive executive-level discovery workshops to understand client priorities, business challenges, and digital transformation roadmaps. Define AI-first, data-driven solution strategies leveraging the organization's capabilities, accelerators, and intellectual property. Lead the development of proposals, executive presentations, solution architectures, capability decks, demos, and business value assessments for strategic pursuits. Collaborate with domain SMEs to build industry-specific solution offerings, reusable GTM assets, and thought leadership content. Position advanced AI capabilities including Agentic AI, Generative AI, Enterprise Knowledge Platforms, AI Governance, and Digital Transformation frameworks. Establish best practices for opportunity qualification, deal shaping, competitive positioning, proposal governance, and pursuit management. Drive innovation by identifying emerging Life Sciences trends, evolving customer needs, and market opportunities to strengthen the organization's GTM strategy. Mentor and lead a team of presales consultants across Commercial, Clinical, Research, and Technology, fostering collaboration, knowledge sharing, and consulting excellence. Represent the organization in executive client meetings, industry forums, analyst briefings, and strategic partner engagements. <p> Nice to Have </p> MBA or Master's degree in Life Sciences, Business, Healthcare, or Technology. Certifications in Veeva, Salesforce, Azure, AWS, Databricks, Snowflake, or TOGAF. AI certifications from Microsoft, AWS, Google, Open AI, Anthropic, or equivalent. Experience with AI frameworks such as Lang Chain, Lang Graph, Semantic Kernel, Crew AI, Auto Gen, or Model Context Protocol (MCP). Thought leadership demonstrated through conference speaking, whitepapers, industry publications, or patents. Experience building or leading a Center of Excellence (Co E), Presales Office, GTM function, or Consulting Practice within the Life Sciences domain.