Pre-Sales Consultant -AI & Analytics

About Aarvian Aarvian is an enterprise AI transformation consulting firm that helps organizations turn AI into measurable business outcomes through purpose-driven strategy, domain expertise, and trusted innovation — moving clients from AI experimentation to enterprise adoption across AI & ML advisory, data and infrastructure operations, generative AI and agentic solutions, and intelligent automation. Role Overview We are looking for a Pre-Sales Consultant / Manager who combines genuine technical depth in AI and Analytics with the commercial and storytelling skills needed to win enterprise deals. The ideal candidate began their career building AI/ML and analytics solutions hands-on, and has since moved into a pre-sales role where they own end-to-end proposal development — from opportunity qualification and solution design through costing, RFP/RFI response, and client-facing presentation — across multiple industry verticals. Expected Career Trajectory Started as a hands-on practitioner — data scientist, ML/AI engineer, or analytics consultant — building and deploying models, dashboards, or AI-driven solutions. Progressively moved closer to the client, taking on solutioning, estimation, and proposal-writing responsibilities alongside delivery. Has now spent meaningful time (typically 2–4+ years) fully dedicated to pre-sales, owning proposals end-to-end rather than just contributing technical inputs. Has worked across more than one industry vertical, adapting AI/Analytics narratives and solution architectures to different client contexts. Key Responsibilities Own end-to-end proposal development for AI and Analytics opportunities — from opportunity qualification and discovery through solution design, effort estimation, pricing input, and final proposal/RFP submission. Translate client business problems into clear AI/Analytics solution narratives, architectures, and value propositions, working closely with delivery, technical, and domain SMEs. Lead and contribute to RFP/RFI/RFQ responses, technical write-ups, case studies, and capability decks tailored to client and vertical. Design and articulate solution approaches spanning AI/ML advisory, data & analytics platforms, generative and agentic AI, and intelligent automation. Build and present business cases, ROI models, and commercial constructs (pricing, effort sizing, delivery models) in partnership with sales and delivery leadership. Represent Aarvian in client workshops, solution walkthroughs, and executive presentations, including running or contributing to proof-of-concept (PoC) scoping. Maintain and evolve reusable pre-sales assets — solution accelerators, reference architectures, proposal templates, and vertical-specific pitch material. Partner with account/sales teams to shape deal strategy, competitive positioning, and win themes. Stay current on AI/Analytics market trends, emerging technologies, and competitor offerings to keep proposals differentiated and credible. Required Experience & Qualifications 5–10 years of overall experience, including meaningful hands-on delivery experience in AI/ML, data science, or analytics before transitioning into pre-sales. Demonstrated track record of owning full proposal lifecycles (not just technical inputs) for enterprise AI/Analytics engagements. Experience working across multiple industry verticals (e.g., manufacturing, BFSI, retail, telecom, public sector, industrial/metals), adapting solutioning to each context. Strong grasp of AI/ML, data engineering, and analytics platforms and architectures — sufficient to design and defend a solution technically, not just present it. Proven ability to produce clear, client-ready proposal documents, solution decks, and commercial write-ups under deal timelines. Comfortable engaging directly with client stakeholders, from technical teams through business and executive sponsors. Preferred Experience Prior experience working with Middle East (ME) clients — understanding of regional buying processes, stakeholder dynamics, and localization/compliance considerations. Experience with government or public sector clients — familiarity with public-sector RFP/tender processes, compliance and security requirements, and longer, multi-stakeholder sales cycles. Exposure to large-scale digital transformation or Industry 4.0 / industrial AI programs is a plus. Skills & Competencies Technical Working knowledge of AI/ML techniques, generative & agentic AI, data platforms (cloud data warehouses/lakes), and common analytics/BI tooling. Ability to read and contribute to solution architecture diagrams and effort/estimation models. Business & Communication Excellent written communication — able to structure and write persuasive, well-organized proposals and executive summaries. Strong verbal and presentation skills, comfortable leading client-facing conversations and workshops. Commercial acumen — understanding of pricing models, effort estimation, and deal economics. Strong stakeholder management, cross-functional collaboration, and ability to work under deal-driven deadlines. Education Bachelor's degree in Engineering, Computer Science, Statistics, or a related quantitative field; MBA or equivalent management qualification is a plus.