Job Description
We are seeking a senior Applied AI & Data Leader to drive growth and solution development across strategic Communications, Telecom and Media accounts.
This is a hands-on seller-doer role for a leader who can engage CIOs, CTOs, CDOs and business executives, identify where AI and data can create measurable value, translate opportunities into credible solutions, and remain engaged from pursuit through delivery. The ideal candidate combines industry expertise, AI/data architecture depth and commercial acumen.
Key Responsibilities
- Partner with account and sales leaders to define the AI & Data growth agenda, identify whitespace and originate opportunities.
- Convert client priorities into qualified AI, GenAI and data transformation pursuits.
- Build trusted executive relationships and lead discovery sessions and workshops that turn AI interest into defined problems, solutions and investments.
- Own the technical narrative from qualification through proposal, presentation, negotiation and transition to delivery.
- Shape enterprise solutions spanning GenAI, agentic AI, ML, data engineering, analytics, automation and AI governance.
- Architect solutions using Azure/OpenAI, AWS, Google Cloud, Databricks and Snowflake based on client needs.
- Apply RAG, enterprise knowledge, AI agents, workflow orchestration, predictive ML, data products, lakehouse and real-time data patterns.
- Ensure architectures are scalable, secure, governable and commercially viable.
- Personally lead solution architecture, value proposition, scope, delivery approach, estimates, prototypes and executive demonstrations.
- Stay engaged through early delivery, resolve solution issues and identify expansion opportunities.
Industry Expertise
Strong understanding of Communications, Telecom and/or Media priorities such as network operations and service assurance, customer care, churn and next-best-action, field operations, network optimization, OSS/BSS modernization, content intelligence, audience analytics, personalization, advertising intelligence, content supply chain and enterprise knowledge.
The focus is not simply discussing AI technology, but identifying where AI and data can materially improve revenue, customer experience, reliability, efficiency and workforce productivity.
Required Qualifications
- 15+ years of experience across data, analytics, AI/ML, cloud or related technology disciplines.
- Strong experience with Communications, Telecom, Cable, Media and/or Entertainment organizations.
- Demonstrated success in client-facing consulting, solution leadership, technology or growth roles.
- Proven ability to combine technical solutioning with business development.
- Strong architecture expertise across modern data platforms, AI/ML and GenAI.
- Experience shaping complex transformations from discovery through proposal and closure.
- Ability to engage engineering leaders on architecture and communicate business value to executives.
- Strong executive storytelling, presentation and workshop facilitation skills.
- Based in the NY/NJ metropolitan area with flexibility for regular client engagement.
Preferred Qualifications
- Experience with Databricks, Snowflake and Azure, AWS and/or Google Cloud.
- Experience with LLMs, RAG, AI agents/agentic workflows and enterprise AI platforms.
- Knowledge of responsible AI, governance, observability, security and data governance.
- Experience with Telecom OSS/BSS, service assurance, customer operations or Media data/content ecosystems.