Data Analytics Pre-Sales and Delivery Manager

Location: REMOTE, USA (Anywhere in USA)

• As a Data & Analytics pre-sales engineer/architect, partner with sales account manager/sales rep and lead the "technical win"

• As a delivery manager, participate, lead or aid timely and high-quality service delivery of Data & Analytics projects and engagements

• 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 (Data modernization/migration to cloud, BI and self-service analytics, AI/ML and/or GenAI)

• Position CK as a specialist with relevant expertise and credentials to address customer's specific needs, leveraging CK's sales and technical collateral and tailoring it to address customer needs

• Own or orchestrate the creation of the technical sections of successful service proposals, collaborating internally with subject matter experts as needed

• Vet proposed delivery approach, methodology and timelines to ensure that they match customer's needs

• Collaborate effectively with internal teams by clearly defining or clarifying scope and lead or aid POC's

• Where feasible, take on a hands-on delivery approach (e.g. POC's) in collaboration with remote delivery teams

• For medium to large accounts and engagements, 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 CK's 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
• Initially, the pre-sales responsibilities will likely take up more of the time. Over time, the mix of pre-sales to technical account management might shift to 60:40

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 (Director and higher) 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 (e.g. delivery, finance etc.)

• 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 modelling 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