AI & Analytics Pre-Sales Lead (Dallas/Austin)

Tavant Technologies•Dallas, TX

About The Position

Tavant is seeking an AI & Analytics Pre-Sales Lead to extend its mature, market-leading AI & Analytics practice across Banking, Financial Services & Insurance (BFSI) accounts. Based in Dallas or Austin, this senior, client-facing role owns the technical win, setting solution strategy, shaping offerings, partnering with industry sales teams, and working with engineering teams to turn established assets into client solutions. The role combines business insight, communication, and hands-on technical credibility, with approximately 30% travel to client sites and industry events. The AI & Analytics practice represents roughly half of Tavant’s business and delivers production AI solutions across generative AI, agentic automation, machine vision, deep learning, natural language processing, reinforcement learning, and modern data platforms across major cloud providers. The lead will advise client executives on AI adoption and data-platform modernization, develop verticalized offerings and reusable accelerators, and help shape the future direction of the practice.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent conceptual knowledge demonstrated through self-study and prior experience.
  • At least 10 years of overall experience, including substantial experience in pre-sales, solution consulting, practice leadership, or business development for data and analytics solutions.
  • Demonstrated pre-sales track record leading workshops, crafting proposals, shaping solutions, and supporting complex deal cycles through close.
  • Hands-on ability to rapidly build working demos and prototypes using generative and agentic AI tools.
  • Experience designing and positioning data and analytics platforms at significant scale.
  • Working knowledge of predictive modeling, generative AI, document intelligence, and agentic automation, with the ability to guide clients toward practical business impact.
  • Understanding of cloud and distributed-systems principles and experience with AWS, Azure, and GCP, including container and orchestration technologies.
  • Excellent written and oral communication, executive-facing presentation, and interpersonal skills.
  • Comfort operating in ambiguity and bringing structure to open-ended problems.
  • Willingness to travel approximately 30%.

Nice To Haves

  • Advanced degree.
  • Familiarity with Banking, Financial Services, and/or Insurance.

Responsibilities

  • Lead the technical pre-sales motion for AI & Analytics across BFSI accounts, including discovery, requirements analysis, solution shaping, and win strategy.
  • Personally build demos, prototypes, and proofs of concept using generative and agentic AI to demonstrate possibilities to clients early in the sales cycle.
  • Advise client executives on AI adoption, data-platform modernization, capability roadmaps, and process automation.
  • Shape vertical offerings by defining intellectual property, custom service offerings, target markets, and lead-generation approaches; help industry sales teams identify suitable targets.
  • Drive proposals, RFP/RFI responses, value narratives, ROI models, and client-facing collateral, and present at sales meetings, executive briefings, and conferences.
  • Facilitate AI strategy workshops, ideation sessions, and deep-dive assessments that translate operational pain points into feasible, high-value AI use cases.
  • Partner with solution architects, data scientists, and engineering, DataOps, and MLOps teams to produce demos, PoCs, pilots, and accelerators and extend reusable intellectual property.
  • Contribute to practice sales targets in support of salespeople, who are the primary owners of quota.
  • Produce thought leadership and verticalized offerings that reinforce Tavant’s market leadership.

Benefits

  • Opportunity to grow at one's own speed.
  • Freedom and room to develop that larger firms cannot afford to provide.
  • A supportive community, culture, and environment for building a career.
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