- Deeply understands how television, news, sports, and streaming businesses operate end-to-end from content acquisition and programming to scheduling, promos, playout, compliance, and performance measurement.

- In this role, you will directly support the AI strategy build and execution across the global media ecosystem, designing and deploying GenAI-powered workflows that enhance speed, quality, and decision-making.

- You will work with senior business, product, and technology leaders to identify high-impact use cases, shape AI adoption roadmaps, and enable measurable transformation across broadcast and digital operations.

What You Will Do:

- Own Media AI Innovation Agenda.

- Lead the identification and prioritization of AI and GenAI innovation opportunities across GEC, broadcast, and OTT workflows.

- Continuously scan media, technology, and AI trends and translate them into concrete innovation themes and initiatives.

- Shape multi-quarter AI innovation roadmaps aligned to business priorities and operational realities.

Client Discovery & Advisory:

- Lead discovery sessions across TV channels, news, sports, and streaming teams to identify AI and GenAI opportunities in content, marketing, and operations.

- Identify bottlenecks and inefficiencies, and define GenAI-led automation opportunities with clear business value (time saved, quality uplift, revenue impact).

- Define business cases, success metrics, and value realization frameworks for AI initiatives as part of the enterprise AI strategy.

Strategic POVs & Visioning:

- Build crisp, executive-ready POVs on GenAI adoption for GEC and channel businesses.

- Develop structured frameworks and strategy documents that link AI initiatives to measurable outcomes (viewership, monetization, cost-to-serve, turnaround times).

- Track industry and technology trends and convert them into actionable recommendations for clients and internal teams.

Solution Design:

- Design solution blueprints and functional flows for AI-enabled media workflows (metadata enrichment, promo versioning, standards & practices checks, content insights).

- Translate business problems into GenAI components, prompts/agents, content understanding, metadata automation, compliance checks, routing, and human-in-the-loop review.

- Partner with engineering, data, and product teams to validate feasibility, estimate effort, and guide PoCs and pilots.

- Pre-Sales, Pitches & Solution Narratives.

- Lead solutioning for RFPs, proposals, and client pitches in the media vertical.

- Craft compelling solution narratives and ROI stories that resonate with senior media stakeholders.

- Work with delivery and product teams to shape re-usable solution accelerators and offerings for global media clients.

Domain Leadership & Evangelism:

- Bring deep understanding of GEC/channel lifecycles: programming strategy, FPC design, promo operations, marketing, compliance, ratings, and distribution ecosystems.

- Represent the organisation in client workshops, industry forums, and leadership conversations as the go-to SME for Media AI.

- Mentor internal teams on media workflows and help build a strong Media & Entertainment AI capability.

What You Bring:

- Media & GEC / Channel Expertise (Must-Have).

- 10-12+ years in GEC, broadcast, or OTT environments, either working directly or with clients.

- Strong grasp of how content moves across editorial, programming, marketing, on-air promotions, broadcast/OTT operations, and technical operations.

- Ability to speak the language of business heads, FPC, GRPs, ratings, slots, campaigns, compliance, content pipelines, etc.

- AI & Technology Fluency - Good understanding of GenAI, LLM concepts, and media-specific AI use cases (content understanding, metadata, compliance, promo/content intelligence, workflows).

- Ability to design AI-enabled workflows and solutions without needing to code, while being comfortable collaborating with architects and engineers.

- Familiarity with metadata automation, content standards/compliance workflows, promo operations, and content/audience insight models.