Clinical data manager h1.location_city

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.#977183976

Responsibilities

• 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

Requirements

• 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

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 - $210,000. 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.