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Day 12
Similar jobs usually come down between day 4 and day 77.
From 51 similar postings that came down. Coming down is not always a hire.
Senior Data Technology Consultant (Data & AI)
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting- Employment
- Not stated
What you’ll work on
Full postingOwn end-to-end presales: qualification, solution design, proposals, demos
Lead client workshops to gather business goals and technical requirements
Architect data solutions across cloud platforms, integration, analytics and AI/ML
Develop competitive proposals, pricing models, and value propositions
Build reusable solution frameworks, accelerators, and methodologies
From the employer’s posting
Own the end-to-end presales process, including opportunity qualification, solution design, proposal development, demos, and client presentations
Lead workshops and meetings with clients to gather business objectives and technical requirements
Architect tailored data solutions, encompassing cloud-native platforms, data integration, advanced analytics, and AI/ML models
Develop competitive proposals, pricing models, and value propositions to successfully close opportunities
Contribute to the development of reusable solution frameworks, accelerators, and methodologies
Tools in this posting
- AWS
- Azure
- Databricks
- GCP
- Oracle
- Snowflake
Source — Tool mentions in context
We are seeking an experienced Senior Data Technology Consultant to join our growing Data & AI practice. This role bridges technology with business value, helping clients harness the power of data to drive transformative business results. You will play a pivotal role in crafting innovative data solutions, supporting sales efforts, and delivering exceptional value to our clients through strategic consulting and technical expertise. This is an exciting opportunity to work with cutting-edge technologies and make a tangible impact across global industries. Responsibilities Work closely with sales, delivery, and expert teams to align client needs with data-driven solutions, effectively connecting business challenges to our offerings Own the end-to-end presales process, including opportunity qualification, solution design, proposal development, demos, and client presentations Lead workshops and meetings with clients to gather business objectives and technical requirements, ensuring alignment between client goals and our solutions Architect tailored data solutions, encompassing cloud-native platforms, data integration, advanced analytics, and AI/ML models, to provide actionable business insights Develop competitive proposals, pricing models, and value propositions to successfully close opportunities and secure engagements Stay updated on emerging trends in Data & Analytics, Cloud, and AI, providing strategic advice to clients and supporting innovation within the practice Contribute to the development of reusable solution frameworks, accelerators, and methodologies to drive operational efficiency Act as a mentor and knowledge-sharer across the team, supporting skill-building and best practice dissemination Requirements Extensive experience in presales, solution architecture, or consulting, with a focus on Data/AI technologies and related business use cases Strong technical knowledge in legacy Data Warehouse platforms (Oracle, DB2, Informatica, SSIS, etc.) Good experience in cloud data technologies (AWS, Azure, GCP) Experience in modern data platforms (Databricks, Snowflake) Familiarity with data science techniques and proficiency in analysis of client needs to align with technical solutions Excellent communication and storytelling skills—able to translate complex technical concepts into clear, client-friendly narratives Proven track record in engagement with senior stakeholders and delivery of impactful presentations or pitches Experience in creation of detailed proposals, RFP responses, and pricing/engagement models for data-related services or projects Understanding of strategic consulting principles and the ability to develop future-state recommendations and roadmaps for client success Strong organizational, leadership, and project scoping abilities, with a proven ability to manage complex tasks in a fast-paced environment Bachelor's or master's degree in data science, Computer Science, Business Analytics, or a related field (or equivalent professional experience) Excellent English communication skills, with the ability to clearly and effectively explain technical concepts to diverse audiences
Posting record
Report an errorActively hiringFirst seen by us 12 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 1, 202612 days ago
- Recorded sightings
- 14
- Last seen by us
- Nov 14, 2026
- Employer says posted
- Sep 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
EPAM Systems is hiring
673 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordYour next step
Check the employer’s posting for the current role and application details.
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Has EPAM Systems posted this job before?
Yes. We’ve followed 2 other Senior Data Technology Consultant (Data & AI) jobs there since November 2026. All 2 are still up.
About EPAM Systems
- People
- About 3,012 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as EPAM.
- H-1B visas
- 21 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
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About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Job description
We are seeking an experienced Senior Data Technology Consultant to join our growing Data & AI practice. This role bridges technology with business value, helping clients harness the power of data to drive transformative business results. You will play a pivotal role in crafting innovative data solutions, supporting sales efforts, and delivering exceptional value to our clients through strategic consulting and technical expertise. This is an exciting opportunity to work with cutting-edge technologies and make a tangible impact across global industries. Responsibilities Work closely with sales, delivery, and expert teams to align client needs with data-driven solutions, effectively connecting business challenges to our offerings Own the end-to-end presales process, including opportunity qualification, solution design, proposal development, demos, and client presentations Lead workshops and meetings with clients to gather business objectives and technical requirements, ensuring alignment between client goals and our solutions Architect tailored data solutions, encompassing cloud-native platforms, data integration, advanced analytics, and AI/ML models, to provide actionable business insights Develop competitive proposals, pricing models, and value propositions to successfully close opportunities and secure engagements Stay updated on emerging trends in Data & Analytics, Cloud, and AI, providing strategic advice to clients and supporting innovation within the practice Contribute to the development of reusable solution frameworks, accelerators, and methodologies to drive operational efficiency Act as a mentor and knowledge-sharer across the team, supporting skill-building and best practice dissemination Requirements Extensive experience in presales, solution architecture, or consulting, with a focus on Data/AI technologies and related business use cases Strong technical knowledge in legacy Data Warehouse platforms (Oracle, DB2, Informatica, SSIS, etc.) Good experience in cloud data technologies (AWS, Azure, GCP) Experience in modern data platforms (Databricks, Snowflake) Familiarity with data science techniques and proficiency in analysis of client needs to align with technical solutions Excellent communication and storytelling skills—able to translate complex technical concepts into clear, client-friendly narratives Proven track record in engagement with senior stakeholders and delivery of impactful presentations or pitches Experience in creation of detailed proposals, RFP responses, and pricing/engagement models for data-related services or projects Understanding of strategic consulting principles and the ability to develop future-state recommendations and roadmaps for client success Strong organizational, leadership, and project scoping abilities, with a proven ability to manage complex tasks in a fast-paced environment Bachelor's or master's degree in data science, Computer Science, Business Analytics, or a related field (or equivalent professional experience) Excellent English communication skills, with the ability to clearly and effectively explain technical concepts to diverse audiences
Source details
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- Pay
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- Location & working pattern
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- Work authorization
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