Practice CTO, Media and Entertainment

Londres

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Project overview

DataArt is a global software engineering firm and a trusted technology partner for market leaders and visionaries. Our Media and Entertainment practice works with the world’s leading broadcasters, publishers, streaming platforms, ad-tech providers, and sports organisations to deliver technology-led transformation at scale.

Position overview

The Practice CTO owns the industry story, C-suite relationships, ecosystem partnerships, and competitive intelligence that drive pipeline creation and strategic deal wins. The role combines hands-on solution leadership in major pursuits with strategic ownership of AI-enabled propositions, reusable IP, and partner-sourced pipeline.

In this role, you will be the senior-most technical leader within the M&E practice — the single voice of technical credibility to the market. You will own DataArt’s M&E solution strategy, go-to-market narrative, and AI-enabled propositions across all M&E segments.

Reports to: Practice Lead
Direct reports: Solutions Architect(s), Partner / Ecosystem Manager
Scope: UK, CEE & Americas — across all M&E segments
Orientation: Externally focused — market positioning, AI-enabled propositions, GTM narrative

Responsibilities

Own the practice story, key messages, and C-suite positioning across all M&E segments
Define and own 3–5 go-to-market solution themes per year tied to segments and pipeline targets
Deliver keynotes, publish thought leadership, and represent DataArt in media and panels
Produce quarterly competitive intelligence briefings from BD signals and market analysis
Embed AI/automation into 100% of GTM messaging
Lead solution shaping on 5+ strategic pursuits yearly (workshops, proposals, CDO/CTO presentations)
Ensure proposals are technically robust, margin-aligned and deliverable, with accurate AI/ML sizing
Coach teams on storytelling, pricing, and board-level technical credibility
Drive reuse of AI-powered solution IP and templates to accelerate deals
Shape AI-enabled delivery models (testing, pipelines, monitoring)
Act as a strategic advisor to C-level clients, translating challenges into AI roadmaps
Join QBRs to strengthen CTO/CDO relationships and validate value
Lead AI readiness and maturity workshops
Secure 2+ strategic client references annually
Manage alliances, partnerships, and the startup ecosystem to drive the pipeline
Build relationships with hyperscalers and AI vendors
Own M&E partnership portfolio and co-sell pipeline
Architect AI solutions across M&E segments
Lead innovation initiatives, PoCs, and labs
Run bi-annual innovation sprints and maintain an AI use-case backlog
Direct Solution Architects and Ecosystem Manager
Provide feedback on capabilities, AI gaps, and tooling
Maintain solution catalogues and reusable assets
Participate in pursuit reviews, account growth, win/loss analysis, and deal assurance

Requirements

12 to 15+ years in solution architecture, enterprise architecture, consulting, or commercial technology leadership in an IT services or consulting context
Proven track record shaping and winning large, complex, multi-year engagements across M&E or adjacent practices
Extensive pre-sales and pursuit leadership experience, including oral presentations, pricing strategy, and contract structuring at the board level
Hands-on experience architecting and delivering AI and ML solutions, from intelligent automation and data platforms to generative AI applications
End-to-end product and platform (aaS) build experience, including architect, build, support, and run
Experience building and scaling go-to-market propositions across multiple geographies including the UK, CEE, and Americas
Demonstrated success managing alliance and partner ecosystems including hyperscalers and specialist AI or ISV vendors
Strategic thinking that blends innovation, feasibility, and commercial outcomes
Advanced pre-sales solutioning capability across both technology and business dimensions
Strong technical credibility in digital platforms, AI and ML, automation, cloud, and data engineering
Deep understanding of M&E practice challenges, including media transformation, advertising operations, and sports data platforms
Effective communicator with excellent influencing and stakeholder engagement skills at C-level
Skilled at identifying repeatable patterns and scaling AI-enabled offerings across clients and markets
Champion of solution excellence culture, reusable IP, and pursuit discipline
Bachelor’s degree in a technical, business, or related field
Postgraduate qualifications (MSc, MBA) or equivalent industry experience preferred

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