VP, AI (Agentic Platforms & Transformation)

Job Description

Position Summary

We are building an applied AI function focused on transforming how work gets done across the enterprise through agentic systems workflow redesign and intelligent data integration.

We are seeking a VP AI to lead this transformation end-to-end.

This role owns how AI is identified evaluated built and scaled within the organizations workflows moving from fragmented experimentation to a structured repeatable system that delivers measurable business impact. You will operate across platforms define how agents interact with enterprise systems and data and establish the operating model required to scale adoption.

This is a systems leadership role requiring a balance of strategy product thinking and execution. You will translate ambiguous business problems into deployable solutions drive platform and architecture decisions and build the frameworks that embed AI into day-to-day operations.

Key Responsibilities

AI Strategy & Business Impact

• Lead structured evaluation of AI platforms (e.g. Gemini Claude Perplexity) identifying strengths limitations and integration pathways
• Translate platform capabilities and constraints into clear prioritization for enterprise-wide adoption
• Identify and scale high impact use cases tied to measurable business outcomes

Agentic Platform & Workflow Ownership

• Design and scale multi-step agent-driven workflows that automate and augment core business processes
• Translate complex ambiguous workflows into structured automatable systems
• Ensure AI is embedded into core operations not deployed as isolated tools
• Establish reusable patterns to scale beyond one-off solutions
• Drive consistency across teams while maintaining speed and flexibility

Enterprise Data & Integration Strategy

• Define how third-party systems (SaaS platforms databases APIs) integrate into AI workflows
• Establish scalable ingestion and integration patterns working with Infrastructure and Architecture Leadership throughout the organization (APIs connectors BigQuery MCP etc.)
• Ensure data is structured accessible and governed for AI consumption

Adoption & Workflow Enablement

• Own adoption of AI-driven workflows across the organization
• Ensure all AI initiatives are tied to clear quantifiable outcomes
• Drive initiatives from POC production sustained usage
• Define and track success metrics including:

• Workflow adoption
• Time saved / efficiency gains
• Throughput and decision velocity
• Business impact (cost revenue productivity)

Measurement & Performance Ownership

• Define and track success metrics across all AI initiatives including:
  • Decision velocity improvements
  • Productivity and output lift
• Establish baseline metrics prior to deployment and continuously measure post launch impact
• Ensure all AI solutions are tied to clear quantifiable business outcomes

Workflow Transformation & Operating Model

• Redesign business processes to embed AI into daily operations
• Establish and refine frameworks for intake prioritization and scaling of AI initiatives
• Track engineering velocity output and impact across workstreams

Technical & Engineering Leadership

• Build and lead a high-performing team of AI engineers and integration specialists
• Establish standards for agent design orchestration and integration
• Ensure high-quality execution across POCs and production systems
• Partner with TPMs and engineering leadership to drive structured delivery

Cross-Functional Leadership

• Act as the bridge between business engineering and platform teams
• Present clear opinionated recommendations to senior leadership
• Drive alignment and best practices across the enterprise
• Engage with external partners (e.g. Google) to accelerate innovation and influence roadmap direction

Qualifications & Experience

Required:

• 12 years of experience across AI engineering data or technical product leadership
• Proven track record of deploying AI-driven systems in enterprise environments
• Strong understanding of LLM/agent architectures orchestration patterns (RAG tool use multi-agent systems) and API-driven integrations
• Experience making architecture decisions across AI platforms including tradeoffs between RAG direct API access and hybrid approaches
• Experience translating ambiguous business problems into scalable system architectures and production-grade AI solutions
• Demonstrated ability to lead cross-functional teams and drive large-scale initiatives
• Strong executive presence with the ability to influence senior stakeholders

What Success Looks Like

• AI is embedded into core workflows across the organization not siloed tools
• A repeatable system exists to move from idea build adoption scale
• Agents and workflows are reusable scalable and integrated into real operations
• Enterprise data is governed partitioned accessible and usable in real time for AI-driven decision-making
• AI initiatives consistently deliver measurable business impact at scale

What Great Looks Like

• Brings clear structured recommendations not open-ended questions
• Translates complex workflows into scalable systems not one-off solutions
• Makes strong platform and architecture decisions with clear tradeoffs
• Balances speed (POCs) with long-term scalability
• Operates with full ownership across strategy execution and outcomes

#LI-KG1

#LI-HYBRID

#HM

Horizon Media is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories consistent with legal requirements.

Salary Range

A successful applicants actual base salary may vary based on factors such as individuals skill sets experience training education licensure/certifications and qualifications for the role. As an organization we take an aptitude and competency-based hiring approach. We provide a competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage life and disability insurance retirement savings plans company paid holidays and unlimited paid time off (PTO) mental health and wellness resources pet insurance childcare resources identity theft insurance fertility assistance programs and fitness reimbursement.