Data Manager

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.Req.#977183976ResponsibilitiesProvide 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 clientsConnect across the organization to drive AI adoption in selected vertical, helping to envision new products, solutions, offerings, and other differentiatorsEngage with clients during pre-sales cycle to understand their business challenges and effectively solution how AI and Data solutions can address themSupport sales / pre-sales activities by accessing data opportunities, responding to RFPs, creating proposals and presentationsCollaborate with cross-functional teams to define project scope, solution, develop datasetsShape 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 phaseDeliver high-quality AI solutions (use-cases, capabilities, platforms) on time and budgetBe AI Champion for client stakeholders, including executive / C-level, helping them drive an enterprise-wide agenda to maximize AI adoptionStay 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 operateRequirementsStrong 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 deliveryExperience on AI operations side, track record of production AI delivery. Familiarity with one or more related offering from industry leaders GCP, AWS, Databricks, Azure, SalesforceDemonstrated leadership experience, driving internal and external multi-dimensional teams to deliver AI productsDemonstrated experience in engaging and influencing senior stakeholders to secure funding or selling ML/AI projectsStrong 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 relationshipsTechnical proficiency in programming languages such as Python and ML libraries/frameworks such as PyTorch/TensorFlowExcellent problem-solving skills and the ability to analyze complex business requirements and translate them into practical ML/AI solutionsBachelor's or master's degree in Computer Science, Data Science, or a related field, or relevant work experienceWe offerMedical, Dental and Vision Insurance (Subsidized)Health Savings AccountFlexible Spending Accounts (Healthcare, Dependent Care, Commuter)Short-Term and Long-Term Disability (Company Provided)Life and AD&D Insurance (Company Provided)Employee Assistance ProgramUnlimited access to LinkedIn learning solutionsMatched 401(k) Retirement Savings PlanPaid Time Off – the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)Paid Holidays - nine (9) total per yearLegal Plan and Identity Theft ProtectionAccident InsuranceEmployee DiscountsPet InsuranceEmployee Stock Purchase ProgramIf otherwise eligible, participation in the discretionary annual bonus programIf otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) ProgramThis Remote Position Cannot be Performed in New York City.Salary range: $160,000 - $210,000.EPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.J-18808-Ljbffr