×
Register Here to Apply for Jobs or Post Jobs. X
More jobs:

Director, Tech Transformation, Field Operations

Job in New York, New York County, New York, 10261, USA
Listing for: Uber
Full Time position
Listed on 2026-03-02
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: New York

About the Role

Field Ops is undergoing a structural transformation to become a future-proof, GenAI-enabled, high-impact global operations organization. This transformation spans footprint optimization, operating model redesign, operational discipline and accelerated technology adoption.

The Tech Transformation Director will report directly to the Senior Director, Head of Global Field Ops and co‑lead the end‑to‑end technology and GenAI transformation of the organization. This role is responsible for redefining how Field Ops leverages tools, workflows automation and AI to materially improve productivity, quality and strategic impact. The Director will act as the bridge between Operations and Tech — translating frontline realities into scalable solutions, driving adoption of GenAI‑enabled workflows, and embedding technology as a core lever of value creation.

What

You’ll Do Define and drive the Field Ops Tech & GenAI roadmap
  • Co‑develop and execute a multi‑year technology transformation roadmap aligned with the Field Ops transformation.
  • Prioritize and sequence initiatives to unlock short‑term efficiency gains (2026 impact) while building long‑term structural capabilities.
  • Identify and operationalize high‑ROI opportunities in workflow redesign, automation and GenAI agent‑assist.
  • Partner with Product and Engineering teams to influence roadmap priorities based on operational value and impact.
Lead GenAI integration into frontline operations
  • Drive the adoption of GenAI‑powered solutions (agent assist like summarization and translation, quality monitoring…)
  • Redesign workflows to integrate AI effectively — recognizing that scaling AI requires new operating processes, not just new tools.
  • Build subject‑matter depth in frontline workflows to ensure AI investments are outcome‑driven.
Drive Workflow Automation and Structural Efficiency
  • Assess the current ecosystem (Bliss and non‑Bliss tools) and identify fragmentation and inefficiencies.
  • Lead efforts to simplify tool stacks and increase operational coherence.
  • Improve ownership clarity for workflows and tools across Comm Ops and cross‑functional partners.
  • Lead a systematic review of Field Ops workflows to identify, prioritize, and execute automation opportunities beyond incremental improvements.
  • Define and own a structured automation pipeline across all COEs, including rule‑based automation, GenAI‑enabled automation, workflow elimination and system integrations.
  • Establish clear automation targets (e.g., % automation rate, reduction in manual touches, productivity uplift).
  • Partner with Product, Engineering, and Data teams to accelerate implementation of automation solutions with measurable ROI.
  • Ensure automation initiatives are tied to headcount strategy, footprint decisions, and quality improvement and cost‑efficiency targets.
  • Drive cultural adoption by repositioning automation as a value‑creation lever rather than a threat to scope.
  • Monitor and report on automation impact (quality, compliance, productivity, cost reduction).
Embed technology into the Operating Model
  • Redesign metrics and incentives to reward productivity, quality and AI adoption rather than pure throughput.
  • Integrate productivity visibility tools and monitoring best practices to strengthen operational discipline.
  • Partner with Workforce Management, Analytics, and L&D to ensure technology adoption translates into measurable impact.
  • Partner with the CST Experience team to drive adoption of new technologies and reinforce the transformation narrative across Field Ops.
  • Support the shift from a volume‑driven mindset to a productivity‑ and impact‑driven culture.
Act as a strategic partner to Field Ops leadership
  • Act as the internal expert, constantly benchmarking against best‑in‑class CX technology and bringing innovative, industry‑leading Generative AI and Agentic AI solutions into the organization.
  • Provide data‑driven insights on ROI, cost efficiency, and quality uplift from technology initiatives.
  • Contribute to footprint and sourcing decisions by assessing automation potential and capability requirements.
  • Serve as the executive interface with Tech and Product.
Basic Qualifications
  • 10+ years of progressive leadership experience…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)

Job Posting Language
Employment Category
Education (minimum level)
Filters
Education Level
Experience Level (years)
Posted in last:
Salary