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Jobs(29,761)/Solutions Architect Role(543)/ciandt (5) - Presales Technical Consultant / Solution Architect (CDP Focus)
ciandt

ciandt - Presales Technical Consultant / Solution Architect (CDP Focus)

Singapore1w ago
In OfficePrincipalAPACCloud ComputingLogisticsSolutions ArchitectTechnical Sales RepresentativeStorytellingTeam ManagementProspectingProduct MarketingMBAData GovernanceCross-functional CollaborationAWSDatabricksAzure

Requirements

• Education: Bachelor's degree or above in Computer Science, Engineering, Information Technology, or a related field. • 6+ years of progressive presales experience, including experience architecting complex solutions. • 2+ years of hands-on experience with CDP and/or MarTech platforms—encompassing data engineering, data modeling, and/or cloud data warehousing. • Deep understanding of customer data architecture, data modeling, and data governance. • Familiarity with API integrations, webhooks, and modern data stack components. • Understanding of identity resolution and customer data management principles. • Proven experience in project management during the presales phase, including the complete cycle from requirements capture and solution design to delivery. • Proven ability to manage multiple projects simultaneously and prioritize effectively. • Familiarity with RFP/RFI/RFQ response processes and bid management. • Communication & Influence: • Exceptional verbal and written communication skills, with the ability to drive deal strategy through compelling storytelling. • Confident in influencing and engaging with senior stakeholders, including C-level executives. • Ability to articulate technical concepts clearly to both technical and non-technical audiences. • Hands-on experience with CDP platforms (e.g., Microsoft Fabric or Databricks) • Familiarity with data privacy regulations (GDPR, CCPA) and compliance frameworks. • Experience working in an overlay or specialist presales capacity. • MBA or advanced technical degree. • Relevant technical certifications (e.g., AWS, Azure, Databricks or equivalent).

Responsibilities

• I. Customer Needs Discovery & Solution Design • Lead in-depth discovery sessions with prospective clients to thoroughly understand their business goals, data challenges, and technical requirements. • Translate complex business needs into functional CDP use cases and feature mappings, clearly demonstrating business value and return on investment. • Design customized solution architectures covering core CDP capabilities such as customer data flow, identity resolution, unified customer 360° views, audience segmentation, and omnichannel orchestration. • II. Technical Demonstrations & Presales Support • Prepare and deliver compelling, tailored product demonstrations that address specific client needs and industry scenarios. • Articulate high-level business value and deliver deep-dive technical presentations to diverse audiences, ranging from C-level executives to engineering teams. • Lead the technical response for RFIs, RFPs, and RFQs, ensuring accuracy, compliance, and competitiveness of all proposals. • Lead Proof of Concept (POC) projects, validating solution feasibility through measurable business outcomes. • III. Presales Project Management • End-to-End Presales Project Management: Own the entire presales project lifecycle, from requirements capture and solution design through to delivery handover. • Multi-Project Management: Simultaneously manage multiple client engagements at various stages, prioritizing based on deal value, strategic fit, and submission deadlines. • Cross-Functional Coordination: Work closely with delivery management teams to ensure that infrastructure and solutions are delivered on time, to specification, and within budget. • Bid & Proposal Management: Lead the entire bid process—from requirements breakdown and solution architecture to compliance review and final submission. • Handover Management: Ensure a seamless transition from the presales phase to the implementation and delivery teams. • IV. Cross-Functional Collaboration & Industry Insight • Partner closely with Product, Engineering, and Marketing teams to identify and share technical patterns and trends from clients and prospects, contributing to product strategy. • Provide enablement training on product knowledge, solutions, and use cases to the sales and presales teams. • Stay ahead of the latest trends in CDP, AI, and data engineering to maintain technical thought leadership.

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