EPAM Systems Inc
Senior Director, Data Analytics Consulting - Remote
EPAM Systems Inc, Mc Lean, Virginia, us, 22107
Are you an avid technologist who enjoys solving and driving complex Data & Analytics challenges? Are you hungry to thrive in a fast-paced entrepreneurial engineering environment and take ownership of critical technical and business decisions that directly impact EPAM and our clients?
As one of the world’s leading digital transformation service providers, we are looking to aggressively expand our Data Practice across North America to meet increasing client demand for our services. We are looking for people at the Senior Director and Director level within the Data & Analytics/Data Science Consulting Practice with a specific focus on Machine Learning (ML) and Artificial Intelligence (AI).
The roles offer exciting opportunities to work with leading-edge technologies, deliver ML/AI-driven solutions, and play a highly visible leading role in the organization whilst partnering closely with multiple clients across various industries and our Data leadership teams globally.
We offer a flexible work set-up with face-to-face client meetings from time to time.
Req. #275921385
#LI-DNI
Responsibilities
Provide technical leadership and strategic direction expertise in ML and AI, driving the design, development, and implementation of ML/AI solutions for clients
Connect across the organization to drive AI adoption in verticals, envision new products, solutions, offerings, and other differentiators
Engage with clients to understand their business challenges and requirements, and effectively communicate how ML/AI solutions can address them
Collaborate with cross-functional teams to define project scope, develop datasets, and apply appropriate ML algorithms to deliver high-quality solutions
Leveraging your technical expertise and engaging senior decision-makers
Shape ML 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
Foster and maintain strong relationships with clients, ensuring their satisfaction through effective project delivery, clear communication, and timely issue resolution
Engage client stakeholders, including executive / C-level, helping them drive 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
Support sales / pre-sales activities by assessing Data opportunities, responding to RFPs, creating proposals and presentations
Requirements
Strong experience in a senior/leadership role within Data & Analytics/ML/AI as well as a proven track record in designing and implementing ML/AI solutions
Knowledge and understanding of different architectures: CNN/RNN, Transformers, LLM, Multimodal, Foundation models, etc
Solid understanding of ML algorithms, both classical and Deep Learning based
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 sell 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 analyse 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
Applications will be accepted on a rolling basis.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
YouTube video player (https://www.youtube.com/embed/NU_mnNITn2o?si=IiCxyQ4sr1YJWxDG)
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: $181K – $280K. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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.
As one of the world’s leading digital transformation service providers, we are looking to aggressively expand our Data Practice across North America to meet increasing client demand for our services. We are looking for people at the Senior Director and Director level within the Data & Analytics/Data Science Consulting Practice with a specific focus on Machine Learning (ML) and Artificial Intelligence (AI).
The roles offer exciting opportunities to work with leading-edge technologies, deliver ML/AI-driven solutions, and play a highly visible leading role in the organization whilst partnering closely with multiple clients across various industries and our Data leadership teams globally.
We offer a flexible work set-up with face-to-face client meetings from time to time.
Req. #275921385
#LI-DNI
Responsibilities
Provide technical leadership and strategic direction expertise in ML and AI, driving the design, development, and implementation of ML/AI solutions for clients
Connect across the organization to drive AI adoption in verticals, envision new products, solutions, offerings, and other differentiators
Engage with clients to understand their business challenges and requirements, and effectively communicate how ML/AI solutions can address them
Collaborate with cross-functional teams to define project scope, develop datasets, and apply appropriate ML algorithms to deliver high-quality solutions
Leveraging your technical expertise and engaging senior decision-makers
Shape ML 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
Foster and maintain strong relationships with clients, ensuring their satisfaction through effective project delivery, clear communication, and timely issue resolution
Engage client stakeholders, including executive / C-level, helping them drive 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
Support sales / pre-sales activities by assessing Data opportunities, responding to RFPs, creating proposals and presentations
Requirements
Strong experience in a senior/leadership role within Data & Analytics/ML/AI as well as a proven track record in designing and implementing ML/AI solutions
Knowledge and understanding of different architectures: CNN/RNN, Transformers, LLM, Multimodal, Foundation models, etc
Solid understanding of ML algorithms, both classical and Deep Learning based
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 sell 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 analyse 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
Applications will be accepted on a rolling basis.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
YouTube video player (https://www.youtube.com/embed/NU_mnNITn2o?si=IiCxyQ4sr1YJWxDG)
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: $181K – $280K. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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.