01Overview
WorkNEXT AI Transformation Head
Role Summary
The WorkNEXT AI Tech Expert is the technical ambassador for WorkNEXT AI modulesowning end-to-end client engagement, discovery, solution design, demos, pilots, and technical enablement. This role translates business pain points into pragmatic AI solutions, drives adoption and outcomes, and partners with product, engineering, and customer success to ensure WorkNEXT deployments deliver measurable value at scale.
Key Responsibilities
Client Engagement & Solutioning
Lead technical conversations with enterprise clients: discovery, requirements analysis, solution architecture, and value mapping.
Conduct tailored demos and hands-on workshops for WorkNEXT AI modules (e.g., workflows, assistants, analytics, automation).
Design proof-of-concepts (POCs) and pilot plans, including success criteria, data readiness, and deployment approach.
Translate business needs into AI-driven use cases and solution designs (incl. integrations, data pipelines, governance).
Technical Ownership
Build reference architectures and implementation playbooks for WorkNEXT AI modules across common enterprise stacks.
Partner with engineering to scope features, validate feasibility, and drive technical issue resolution.
Configure and optimize WorkNEXT AI models and workflows (prompt strategies, orchestration, guardrails, evaluation).
Ensure compliance with security, privacy, and responsible AI standards; coordinate with InfoSec and legal teams.
Customer Success & Enablement
Create client-facing technical collateral: solution briefs, runbooks, FAQs, architecture diagrams, ROI calculators.
Train client admins and super-users; develop enablement plans and adoption campaigns.
Monitor post-deployment health: performance metrics, drift, model evaluation, user feedback loops.
Cross-Functional Collaboration
Capture client feedback and market signals to inform product roadmap and prioritization.
Collaborate with Sales/Pre-Sales for deal str .
