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
