Data Analytics Pre-Sales and Delivery Manager

4 weeks ago


Dallas, Texas, United States Cloud Kinetics Full time
Job Description

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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