Job Description

We are undertaking a AI Transformation Assessment to define the strategic, financial, and operational foundations for becoming an AI-Empowered media organisation.


The assessment will evaluate the current state, identify high-value AI use cases across departments, quantify the investment and ROI, and deliver a Business & Investment Case supported by a prioritised Implementation Roadmap.


A multidisciplinary team -- including business, financial, media, and technical experts -- will collaborate with stakeholders to produce actionable insights, establish readiness for AI adoption, and guide the transition toward data-driven, automated, and scalable operations.


We are seeking a

Media Subject Matter Expert (SME)

with deep experience in media operations, newsroom transformation, and AI-driven content production to support a strategic

AI Transformation Programme

for a leading media organisation.


This role bridges

media domain expertise

and

AI innovation

, ensuring that the assessment captures the realities of modern media workflows while identifying opportunities where AI can enhance efficiency, creativity, and audience engagement.


The SME will work alongside Ai-Zen's business analysts, data scientists, and architects to provide industry context, validate AI use cases, and guide the design of future-state media processes.

Expected Outcomes of this role

A set of validated and prioritised

AI use cases

for media functions. Clear mapping of current-state vs. AI-enabled ("to-be") media workflows. Documentation of best practices and benchmarking insights from global media leaders. Contribution to the

Business & Investment Case

, quantifying the potential value of AI in media operations.

Key Duties & Responsibilities:

Domain Expertise & Workshops:

Participate and Support the Transformation Lead and Project Team in discovery sessions to capture current media workflows (newsroom, content factory, digital publishing, etc.) and identify potential AI-driven improvements.

AI Opportunity Identification:

Advise on how AI technologies (e.g., NLP - Natural Language Processing, video/audio analysis, content tagging, recommendation engines, newsroom automation) can enhance editorial, production, and distribution processes.


Collaborate with project team to validate and test NLP-enabled use cases for newsroom efficiency, automated metadata creation, and personalised content delivery.

Benchmarking & Best Practices:

Provide insight into global media trends, newsroom digitisation, and AI adoption across leading broadcasters and publishers.

Use Case Validation:

Evaluate proposed AI use cases to ensure they are operationally relevant, technically feasible, and aligned with media industry standards.

Stakeholder Engagement:

Collaborate with editorial, production, and commercial teams to bridge the gap between creative, technical, and business stakeholders.

AI Capability Translation:

Translate complex AI capabilities into practical applications for journalists, editors, and producers.

Documentation & Recommendations:

Contribute to the development of the Business & Investment Case by defining expected benefits, success metrics, and transformation enablers for media operations.

Requirements

10+ years of experience

in media or broadcasting, with strong understanding of newsroom, content production, or media technology environments.


Proven experience in

newsroom digital transformation

,

content lifecycle optimisation

, or

media innovation projects

.


Familiarity with

AI applications in media

, such as:


o Content personalisation and recommendations


o Video/audio transcription and tagging


o Automated metadata generation


o AI-assisted news writing or curation


o Data-driven audience insights and analytics


Strong understanding of

end-to-end media workflows

: editorial planning, production, asset management, publishing, and audience engagement.


Excellent communication skills and ability to engage with creative and technical teams.


Ability to identify, explain, and prioritise opportunities where AI adds tangible business or operational value.

Desirable Qualifications / Skills

Experience with

Media Asset Management (MAM/DAM)

systems, newsroom automation tools, or digital publishing platforms.


Exposure to

AI tools and technologies

such as Azure AI, OpenAI, or other GenAI/LLM-based solutions.


Business Consulting or advisory experience in media transformation projects.


Familiarity with

data governance, media monetisation

, or

audience analytics.