We are seeking a dynamic Data & AI Pre-sales Consultant to lead pre-sales engagements and deliver innovative data analytics and AI solutions to clients. As an integral member of our team, you will collaborate with stakeholders to create tailored RFP responses, design scalable architectures and showcase cutting-edge technologies that drive business success.
Responsibilities
- Partner with sales teams, practices and client stakeholders to deliver effective pre-sales solutions
- Lead the development of high-quality customized RFP responses aligned with client requirements
- Design data and AI architectures integrating scalable and efficient technologies
- Assess solution architecture and evaluate outcomes for optimization purposes
- Estimate timelines and costs for assessments, MVPs and development activities
- Align with and leverage existing standards, solution offerings and reusable materials
- Produce technical proposals, architecture diagrams and multimedia presentations for clients
- Present tailored solutions to technical and business audiences in client-facing scenarios
- Research emerging technologies and participate in company-level knowledge initiatives and PoCs
- Contribute to internal training programs to maintain expertise in cutting-edge solutions
Requirements
- 17–22 years of experience in data analytics
- 4–6 years of experience in pre-sales or client-facing roles within data and analytics
- Proven track record of designing data architectures including data lakes, pipelines, warehouses and AI applications
- Structured understanding of architecture processes including requirements capture, technology evaluation and cost estimation
- Background in architecture design patterns and broad knowledge of the technological landscape
- Proficiency in creating compelling RFP responses and proposals
- Expertise in delivering impactful presentations to diverse audiences including technical teams and executives
- Familiarity with architectural areas such as Data Platform Operations, Cloud Data Services, ML/MLOps, Generative AI, Data Security & Management
- Capability to work with technologies like AWS, Azure, GCP across data processing, cloud solutions and streaming
- Certification in relevant platforms and technologies
Technologies
- Clouds: AWS, Azure, GCP
- Distributed processing: Apache Spark (AWS EMR, Azure HD Insight, GCP DataProc), AWS Glue, Databricks
- Data warehousing: Snowflake, AWS Redshift, GCP BigQuery, Azure Synapse
- Streaming solutions: Kafka, AWS Kinesis, GCP Pub/Sub, Azure Event Hub
- Databases: PostgreSQL, MongoDB, Redis, Cassandra, Azure Cosmos DB
- Visualization tools: Power BI, Tableau, QlikView
- Programming languages: Python, Scala, Java
