Data Analytics Pre-Sales and Delivery Manager
4 weeks ago
Location: Texas, Missouri, Canada, Costa Rica, Columbia
Mode of work: Remote
Responsibilities
- Partner with sales account managers and lead the technical win as a Data & Analytics pre-sales engineer/architect
- Participate, lead, or aid timely and high-quality service delivery of Data & Analytics projects and engagements as a delivery manager
- Unearth, identify, and flesh out customer's technical needs and current landscape of data, analytics, and related applications
- Identify key customer technology priorities and timelines related to Data & Analytics
- Position Cloud Kinetics as a specialist with relevant expertise and credentials to address customer's specific needs
- Own or orchestrate the creation of the technical sections of successful service proposals
- Vet proposed delivery approach, methodology, and timelines to ensure they match customer's needs
- Collaborate effectively with internal teams by clearly defining or clarifying scope and lead or aid POCs
- Take on a hands-on delivery approach in collaboration with remote delivery teams
- Function as an effective near-shore point of contact between customer and remote delivery teams
- Map out customers' technology and data/app landscape, key technology decision makers/influencers
- Identify other potential opportunities to engage and deepen/expand Cloud Kinetics' relationship with customer
- Attend delivery standup meetings and customer interactions
- Understand and communicate status of various projects and milestone attainment with relevant customer stakeholders
- Gather customer inputs that would help advance project execution
- Identify and resolve key dependencies/roadblocks
Requirements
- Relevant background/experience
- Good cloud technology background with deep hands-on solutioning and implementation experience in architecting and implementing end-to-end Data & Analytics solutions
- Interest and familiarity in developing and deploying GenAI applications targeting mid-market and enterprise customers
- Good understanding and prior experience in developing software using the Agile software development methodology
- Great communication and presentation skills with exec-level presence and the ability to gain credibility with senior technology decision makers/influencers
- Solid first-principles approach to problem-solving - ability to break down a problem, structure solutions, and communicate recommendations with justifications
- Prior experience in pre-sales and interest in technical account management/delivery roles
- Relevant experience with AWS and associated ecosystem would be preferred; Azure experience would be a plus
- Collaborative and team-oriented nature, with ability to work effectively with sales and other internal teams
- Entrepreneurial and can-do attitude
- Data engineering using AWS and open-source ETL/ELT technology and tools; good knowledge and experience with SQL and Python or Scala
- Architecting and implementing cloud and hybrid cloud data repositories including data warehouses, data lakes, and data lake houses; knowledge of AWS-native platforms with working experience in Snowflake or Databricks
- Experience implementing self-service analytics solutions and data migration/modernization from legacy data sources; data modeling experience would be a plus
- Understanding of foundational models and technology frameworks
- Working knowledge of prompt engineering, RAG, model fine-tuning, etc.; prototyping or development experience with GenAI applications would be a plus
- Understanding customer's technology needs and link them to key business priorities
- Experience delivering technical wins in single vendor and competitive (RFP) scenarios
- Understanding and learnings from creating successful services proposals - clear idea of what good, great proposals look like
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