Location: REMOTE, USA (Anywhere in USA)
Responsibilities
- 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