Manager, Data Analytics Consulting

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 looking for Managers 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, and 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. Responsibilities Lead the full AI lifecycle — from pre-sales solutioning (RFPs, proposals, scoping/pricing) through production delivery of enterprise ML/GenAI programs, on time and on budget Provide hands‑on technical leadership in AI Engineering, driving design, development, and implementation of solutions across client engagements Serve as a trusted AI advisor to client stakeholders (including C-level), championing enterprise‑wide AI adoption and translating business challenges into actionable AI strategies Collaborate cross‑functionally and across geographies to shape scalable AI offerings, products, and differentiators for target verticals Requirements Strong hands‑on AI expertise with a track record of production delivery (model architectures, quality metrics, MLOps); proficiency in Python and frameworks such as PyTorch/TensorFlow; familiarity with platforms like GCP, AWS, Databricks, or Azure Demonstrated leadership in driving multi‑dimensional teams and influencing senior stakeholders to secure funding and deliver AI products Knowledge of semantic technologies (Ontology, Knowledge Graphs, OWL, RDF, SPARQL, SHACL) is a strong plus Excellent communication and problem‑solving skills — able to translate complex technical concepts and business requirements into practical, scalable AI solutions for diverse audiences Bachelor's/Master's in Computer Science, Data Science, or related field (or equivalent experience) We offer Medical, Dental and Vision Insurance (Subsidized) Health Savings Account Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Short‑Term and Long‑Term Disability (Company Provided) Life and AD&D Insurance (Company Provided) Employee Assistance Program Unlimited access to LinkedIn learning solutions Matched 401(k) Retirement Savings Plan Paid 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 year Legal Plan and Identity Theft Protection Accident Insurance Employee Discounts Pet Insurance Employee Stock Purchase Program If otherwise eligible, participation in the discretionary annual bonus program If otherwise eligible and hired into a qualifying level, participation in the discretionary Long‑Term Incentive (LTI) Program This Remote Position Cannot be Performed in New York City. This posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $160,000 - $200,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position. In accordance with the LA County Fair Chance Ordinance, you may find a copy of the Notice containing a summary of the Ordinance’s key provisions here: Concept FCO Posting 8 27 24 (lacounty.gov) 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 EPAM Systems