Media & Entertainment - Data & AI Consultant

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

Languages