Data Science Engagement Lead

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.