Senior Director, Emerging Technology – Delivery

Jobtailor

New Jersey

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Verizon is seeking a senior product leader to define and drive the multi-year vision for automated conversational platforms and AI-enabled services. You will translate complex AI architectures into real product roadmaps and oversee capability development across global teams.

You will guide capital planning, ensure seamless orchestration with multiple channels, and push forward automation and test-data generation within deployment gates. Strong executive presence is essential.

Qualifications

Bachelor's or higher in a technical/analytical field; an advanced degree is preferred.
10+ years in progressive technical product leadership focusing on AI/GenAI or cloud platforms.
Proven ability to lead matrixed teams and drive zero-to-one software initiatives.
Strong grasp of conversational design systems and multi-modal customer context.
Demonstrated skill in translating global tech shifts into concrete product requirements.

Responsibilities

Define and champion multi-year product vision and strategy for AI platforms.
Translate AI architectures into actionable roadmaps and capability blueprints.
Maintain backlog and capital planning for platform investments and roadmaps.
Ensure omnichannel alignment and cross-functional execution across teams.
Lead automation, testing data generation, and CD gates within delivery pipelines.

Skills

AI Architecture Management

Product Vision Formulation

Matrixed Team Leadership

Executive Presence

Conversational AI

Education

Bachelor's Degree

Master's Degree in Technical Field

Tools

Cloud-Native Platforms

API Management

Data Clean Rooms

Job description

Define Product Vision & Strategy: Formulate and champion the multi-year vision, strategic roadmap, and core capability blueprints for Verizon’s automated conversational platforms, agentic layers, and foundational enablers.
Architect Modular AI & System Capabilities: Direct the engineering-to-product translation of complex AI architectures, large language models, and agentic middleware; manage high-leverage build-vs-buy decisions across global technological components.
Ensure Multi-Tier Ecosystem Continuity: Enforce clarity on when requirements represent net-new builds versus the evolution of foundational conversational/data assets; safeguard seamless, non-contradictory runtime execution alongside concurrent enterprise initiatives.
Govern Capital and Backlog Horizons: Maintain complete capital planning oversight and roadmap prioritization for advanced platform investments, systematically tracking flexible capacity across short- and long-term technical horizons.
Drive Multi-Channel Operational Alignment: Partner with Direct Digital Channels, Assisted Care Desktops, and physical/indirect distribution networks to ensure advanced foundational enablers deploy with friction-free, omnichannel alignment.
Spearhead Manual-to-Automation Transformation: Shift our technical execution ecosystem upstream by embedding advanced test-data generation, automated validation frameworks, and continuous delivery gates natively into the product deployment line.
Direct Matrixed Team Evolution: Lead, coach, and transition matrixed product management leaders into elite automation architects; proactively identify capability gaps and execute targeted upskilling tracks in data science, conversational UI metrics, and subscription loops.
Ownership of Automated Value Realization: Own and drive domain-level performance dashboards, tracking live capability scalability, automated containment rates, API transaction velocities, and core business value realization KPIs.

Requirements

Bachelor's Degree or equivalent experience; Master's Degree in a technical or analytical field (e.g., Computer Science, Data Science, Information Systems, or MBA) is preferred.
Minimum of 10 years of progressive leadership experience in technical product management, AI/GenAI product implementation, conversational commerce, or cloud-native platform architectures.
Proven track record of building and managing matrixed technical teams, supervising automated delivery tracks, and leading zero-to-one software initiatives.
Deep conceptual and practical understanding of conversational design systems, programmatic architectures, agentic routing layers, data clean rooms, and multi-modal customer context preservation.
Core expertise in converting abstract global technology shifts into granular functional product requirements, structured logic models, and complex user stories.
Demonstrated experience in high-pressure rapid-response operations, technical error automation, and rapid post-production root cause triage.
Strong executive presence with a proven capability to communicate technical platform risks and complex AI metrics as clear, scannable business risk assessments to senior corporate leadership.
Exhibits a passion for disruptive innovation, total outcome ownership, and an unyielding commitment to designing out technical and process complexity.
Demonstrated passion for fostering inclusive environments, building psychological safety, and empowering diverse, cross-functional teams to collaborate openly, challenge the status quo, and deliver collective innovation.

Core Competencies

Demonstrates expertise in defining product vision and strategy for automated conversational platforms, with a strong focus on AI architecture and operational alignment. Proven ability to lead matrixed teams, manage complex product implementations, and drive innovation in technical product management.

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