Media & Entertainment — Data & AI Consultant

EPAM Systems Inc

Newtown (PA)

Remote

USD 130,000 - 160,000

Full time

14 days+
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Job summary

EPAM Systems Inc. is seeking a Consultant to unlock data value for media companies, applying AI in ways that blend delivery, innovation, and business development. You will engage broadcasters, streaming platforms, and content owners on data architecture, AI tooling, and GenAI workflows.

You will influence end-to-end engagements, build relationships with C-suite and tech leadership, and translate complex data concepts into practical business outcomes in a remote, nationwide role.

Qualifications

  • Passion for technology and business in Media & Entertainment.
  • Strategic with strong interpersonal skills to build client trust.
  • Self-starter with innovative spirit and work ethic.
  • Balanced analytical rigor and client awareness.
  • Organized, detail-oriented, comfortable with large datasets.

Responsibilities

  • Apply data architecture knowledge across cloud platforms, data lakes, and analytics layers for M&E use cases.
  • Analyze client data ecosystems, pipelines, governance, and analytics maturity.
  • Develop transformation roadmaps and next-gen architectures aligned to needs.
  • Leverage modern data/AI tooling to design scalable solutions.
  • Shape AI/ML implementations including recommendation engines and metadata intelligence.
  • Stay current on M&E data/AI trends and translate into client strategies.
  • Lead engagements end-to-end including planning, workshops, design, and ownership.
  • Manage client expectations and provide alternatives to keep objectives on track.
  • Build trusted relationships with senior stakeholders.
  • Deliver client presentations and workshops translating data/AI concepts into business language.
  • Engage cross-functional partners to develop right solutions.
  • Anticipate and mitigate project risks and escalate when needed.

Skills

Data architecture
AI & ML concepts
Stakeholder management
Communication
Problem solving

Tools

Snowflake
Databricks
AWS
Azure
GCP
LLMs
ML pipelines
Vector databases

Job description

EPAM is growing its Media & Entertainment industry practice, and we are looking for a Consultant to help media companies unlock the value of their data and put AI to work in meaningful ways. This role sits at the intersection of delivery, innovation, and business development. You will work with broadcasters, streaming platforms, content owners, publishers, and sports organizations on some of the most consequential data and AI challenges in the industry: content intelligence, audience analytics, personalization, operational automation, and GenAI adoption. If you want to be at the intersection of media strategy and modern data and AI engineering, this is the role.

Req# 1036151549

Responsibilities
  • Apply deep knowledge of data architecture solutions spanning cloud data platforms, streaming data, data lakes, lake houses, and analytics layers relevant to M&E use cases

  • Analyze client data ecosystems platforms, pipelines, governance models, and analytics maturity

  • Develop transformation roadmaps and next-generation architectures aligned to client needs and emerging industry standards

  • Apply working knowledge of modern data and AI tooling (e.g., Snowflake, Databricks, AWS/Azure/GCP data services, vector databases, LLMs, ML pipelines) to design practical, scalable solutions

  • Shape and support AI/ML implementations including recommendation engines, content tagging and metadata intelligence, audience segmentation, demand forecasting, and GenAI-powered workflows

  • Analyze and stay current on emerging data and AI trends in M&E (e.g. synthetic media, AI-driven personalization, content supply chain automation, rights and metadata intelligence) and translate them into actionable client strategies

  • Lead and support engagements end-to-end: work planning, requirements documentation, stakeholder workshops, stakeholder management, solution design, deliverable ownership, and team oversight

  • Manage client expectations throughout the project lifecycle and provide alternative recommendations when needed to keep objectives on track

  • Build trusted relationships with mid- to senior-level business and technology stakeholders

  • Develop and deliver client presentations, workshops, and written work products that translate complex data and AI concepts into clear business language

  • Quickly assess client challenges and engage cross-functional partners to develop the right solutions

  • Anticipate and mitigate project risks with sound judgment on when to escalateto senior leadership

Requirements
  • You have a genuine passion for technology and business in the Media and Entertainment space

  • You are strategic and resilient, with the interpersonal intelligence to build trust with clients and colleagues

  • You are a self-starter who brings an innovative spirit and strong work ethic to every engagement

  • You have a balance of analytical rigor (IQ) and client awareness (EQ) you know when to push and when to listen

  • You are extremely organized, detail-oriented, and comfortable working with large and complex datasets

  • You thrive in fast-paced, ambiguous environments and treat complexity as an opportunity, not an obstacle

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: $130,000 - $160,000. 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.

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