> Markdown version of [/jobs/ext/165182-data-manager](https://www.wearedevelopers.com/jobs/ext/165182-data-manager). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Manager - **Company:** EPAM Systems, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $160,000.0 - $210,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Data Systems, Python (Programming Language), Machine Learning, Tensorflow, Salesforce.Com, Google Cloud, Pytorch, Generative AI, Scikit Learn, Information Technology, Databricks, Programming Languages - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=06f14f1e474864d3 ## About the Role * Strong hands-on AI expertise. Track record in designing and implementing AI solutions to production. You understand different model architectures, quality metrics, ADLC, production vs. notebook delivery * Experience on AI operations side, track record of production AI delivery. Familiarity with one or more related offering from industry leaders GCP, AWS, Databricks, Azure, Salesforce * Demonstrated leadership experience, driving internal and external multi-dimensional teams to deliver AI products * Demonstrated experience in engaging and influencing senior stakeholders to secure funding or selling ML/AI projects * Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences, capable of collaborating with cross-functional teams in different geographies, and building strong client relationships * Technical proficiency in programming languages such as Python and ML libraries/frameworks such as PyTorch/TensorFlow * Excellent problem-solving skills and the ability to analyze complex business requirements and translate them into practical ML/AI solutions * Bachelor's or master's degree in Computer Science, Data Science, or a related field, or relevant work experience ## Description If you are an AI builder who thrives on taking ideas from vision to whiteboard (or demo) to production - and enjoys collaborating within a larger team to shape the future of enterprise AI - this role is for you., We are hiring Managers, Senior Managers, and Director-level professionals within our Data & AI Consulting Practice to own the full AI lifecycle: shaping end-to-end solutions during pre-sales, leading enterprise ML/GenAI programs into production, as well as working on building scalable, market-ready AI offerings. This is a hands-on leadership role for technologists who combine deep engineering capability with client engagement and commercial ownership, delivering measurable enterprise impact beyond proof-of-concept initiatives., * Provide technical leadership and expertise in AI, which includes Generative AI, ML and Data Science, driving the design, development, and implementation of AI and AI Engineering solutions for clients * Connect across the organization to drive AI adoption in selected vertical, helping to envision new products, solutions, offerings, and other differentiators * Engage with clients during pre-sales cycle to understand their business challenges and effectively solution how AI and Data solutions can address them * Support sales / pre-sales activities by accessing Data opportunities, responding to RFPs, creating proposals and presentations * Collaborate with cross-functional teams to define projects scope, solution, develop datasets * Shape AI solutions and properly scope/price engagements, establishing optimal operating models and project team organization, and leading the transition from the sales process to the delivery phase * Deliver high-quality AI solutions (use-cases, capabilities, platforms) on time and budget * Be AI Champion for client stakeholders, including executive / C-level, helping them drive an enterprise-wide agenda to maximize AI adoption * Stay updated with the latest advancements in ML/AI and emerging technologies, proactively recommending new approaches and methodologies to address challenges in the space/markets and geographies in which the clients operate ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)